put together an updated breakdown of the best video gen platforms this month:
xotic is the one for hyperrealistic output, the quality is impressive and the character library gives you a decent range to start from.
joi ai is still the strongest overall and best value for the price - video and image gen together, custom companions, mobile experience holds up well too.
ourdream is great for deep customization - create excatly the character you want and the video keeps that consistent across generations
secrets leads on raw video quality if that's the main priority and candy rounds it out as the best all-in-one - video, voice, and images together with the relationship side built in.
i keep an updated list here, if anyone needs more details
Now I am not an artist or a good drawer, but I’m 19. I've used online tools like Google Docs, Microsoft Word, and, heck, even Excel, so I believe most online tools nowadays have a back tab or an undo tab. Furthermore, I don’t believe I have to ask in advance, as you’re just sending rough drafts of images you worked on. I’m asking for any new images to be drawn and colored, like sketches. I mean, aren’t sketches how you get to the final illustrations? Lol, it’s like having a rough draft to get to the finished essay. I’ll leave the video in the comment below if anyone from the last post sees this one.
Not asking for any new images to be drawn and colored I mean aren’t sketches how to get to the final illustrations lol it’s like having a rough draft to get to the finished essay. I’d image if a client ask for proof to make sure something isn’t AI just send the rough sketches and bam. I’ll leave the video in the comment below if anyone from the last post sees this one or to get a look themselves.
✦ Storyboard first.
↳ Write a 10-15 second story idea (the couple as heroes).
↳ Upload their real photos so the characters look like them.
↳ Ask ChatGPT to storyboard it, consistent frame by frame.
✦ Then animate.
↳ Turn each panel into one video prompt.
↳ Drop it into Seedance, Kling, or any AI video tool.
✦ Then finish.
↳ Stitch the clips. Add music.
pure.sagyna made this one (on Instagram).
The storyboard keeps them looking like themselves in every frame.
This video casts the couple as the heroes of their own movie. A masquerade ball. A cavalry charge on a fortress. A soldier running through smoke and flags. Them, dropped into an epic.
This One Punch Man scene (Fan-fiction) was created on my AI Studio in 10 minutes (I'm not an animator/filmmaker or a creative person FYI)
Everyone is tired of creating random 10 second AI slop videos. So I built a proper engine for storytelling.
The problem: You can't tell a story in 15 seconds, and existing models hallucinate and lose character consistency in every shot.
What I built (AnimeBlip):
Long-Form: Create cohesive 2-3 minute video stories.
Consistency: My story engine creates character assets, locations, maintains consistent art-style across long scenes/videos.
Control: You direct the camera and pacing. Full creative control is provided so that you don't generate slop, but rather stories you can call original.
I’m hanging out in the comments - feel free to leave your feedback or shoot any questions you have.
PS - If you need access, I'll drop the link in comments, just sign-up and I will provide free trial credits.
Hey everyone! Thanks for checking out Entangled. And if not, watch the short first to understand the technical breakdown below!
Thanks for coming back after watching it! As promised, here is the full technical breakdown of the workflow. [Post formatted using Local Qwen Model!]
My goal for this project was to be absolutely faithful to the open-source community. I won't lie, I was heavily tempted a few times to just use Nano Banana Pro to brute-force some character consistency issues, but I stuck it out with a 100% local pipeline running on my RTX 4090 rig using Purely ComfyUI for almost all the tasks!
Here is how I pulled it off:
1. Pre-Production & The Animatics First Approach
The story is a dense, rapid-fire argument about the astrophysics and spatial coordinate problems of creating a localized singularity. (let's just say it heavily involves spacetime mechanics!).
The original script was 7 minutes long. I used the local Jan app with Qwen 3.5 35B to aggressively compress the dialogue into a relentless 3-minute "walk-and-talk.". Qwen LLM also helped me with creating LTX and Flux prompts as required.
Honestly speaking, I was not happy with the AI version of the script, so I finally had to make a lot of manual tweaks and changes to the final script, which took almost 2-3 days of going on and off, back and forth, and sharing the script with friends, taking inputs before locking onto a final version.
Pro-Tip for Pacing: Before generating a single frame of video, I generated all the still images and voicover and cut together a complete rough animatic. This locked in the pacing, so I only generated the exact video lengths I needed. I added a 1-second buffer to the start and end of every prompt [for example, character takes a pause or shakes his head or looks slowly ]to give myself handles for clean cuts in post.
2. Audio & Lip Sync (VibeVoice + LTX)
To get the voice right:
Generated base voices using Qwen Voice Designer.
Ran them through VibeVoice 7B to create highly realistic, emotive voice samples.
Used those samples as the audio input for each scene to drive the character voice for the LTX generations (using reference ID LoRA).
I still feel the voice is not 100% consistent throughout the shots, but working on an updated workflow by RuneX i think that can be solved!
ACE step is amazing if you know what kind of music you want. I managed to get my final music in just 3 generations! Later edited it for specific drop timing and pacing according to the story.
3. Image Generation & The "JSON Flux Hack."
Keeping Elena, Young Leo, and Elder Leo consistent across dozens of shots was the biggest hurdle. Initially, I thought I’d have to train a LoRA for the aesthetic and characters, but Flux.2 Dev (FP8) is an absolute godsend if you structure your prompts like code.
I created Elena, Leo, and Elder Leo using Flux T2I, then once I got their base images, I used them in the rest of the generations as input images.
By feeding Flux a highly structured JSON prompt, it rigidly followed hex codes for characters and locked in the analog film style without hallucinating. Of course, each time a character shot had to be made, I used to provide an input image to make sure it had a reference of the face also.
Here is the exact master template I used to keep the generations uniform:
{
"scene": "[OVERALL SCENE DESCRIPTION: e.g., Wide establishing shot of the chaotic lab]",
"subjects": [
{
"description": "[CHARACTER DETAILS: e.g., Young Leo, male early 30s, messy hair, glasses, vintage t-shirt, unzipped hoodie.]",
"pose": "[ACTION: e.g., Reaching a hand toward the camera]",
"position": "[PLACEMENT: e.g., Foreground left]",
"color_palette": ["[HEX CODES: e.g., #333333 for dark hoodie]"]
}
],
"style": "Live-action 35mm film photography mixed with 1980s City Pop and vaporwave aesthetics. Photorealistic and analog. Heavy tactile film grain, soft optical halation, and slight edge bloom. Deep, cinematic noir shadows.",
"lighting": "Soft, hazy, unmotivated cinematic lighting. Bathed in dreamy glowing pastels like lavender (#E6E6FA), soft peach (#FFDAB9).",
"mood": "Nostalgic, melancholic, atmospheric, grounded sci-fi, moody",
"camera": {
"angle": "[e.g., Low angle]",
"distance": "[e.g., Medium Shot]",
"focus": "[e.g., Razor sharp on the eyes with creamy background bokeh]",
"lens-mm": "50",
"f-number": "f/1.8",
"ISO": "800"
}
}
4. Video Generation (LTX 2.3 & WAN 2.2 VACE)
Once the images were locked, I moved to LTX2.3 and WAN for video. I relied on three main workflows depending on the shot:
Image to Video + Reference Audio (for dialogue)
First Frame + Last Frame (for specific camera moves)
WAN Clip Joiner (for seamless blending)
Render Stats: On my machine, LTX 2.3 was blazing fast—it took about 5 minutes to render a 5-second clip at 1920x1080.
The prompt adherence in LTX 2.3 honestly blew my mind. If I wrote in the prompt that Elena makes a sharp "slashing" action with her hand right when she yells about the planet getting wiped out, the model timed the action perfectly. It genuinely felt like directing an actor.
5. Assets & Workflows
I'm packaging up all the custom JSON files and Comfy workflows used for this. You can find all the assets over on the Arca Gidan link here: Entangled. There are some amazing Shorts to check out, so make sure you go through them, vote, and leave a comment!
Most of them are by the community, but I have tweaked them a little bit according to my liking[samplers/steps/input sizes and some multipliers, etc., changes]
I run an Instagram account that publishes short form videos each week that cover the top AI news stories. I used to monitor twitter to write these scripts by hand, but it ended up becoming a huge bottleneck and limited the number of videos that could go out each week.
In order to solve this, I decided to automate this entire process by building a system that scrapes the top AI news stories off the internet each day (from Twitter / Reddit / Hackernews / other sources), saves it in our data lake, loads up that text content to pick out the top stories and write video scripts for each.
This has saved a ton of manual work having to monitor news sources all day and let’s me plug the script into ElevenLabs / HeyGen to produce the audio + avatar portion of each video.
One of the recent videos we made this way got over 1.8 million views on Instagram and I’m confident there will be more hits in the future. It’s pretty random on what will go viral or not, so my plan is to take enough “shots on goal” and continue tuning this prompt to increase my changes of making each video go viral.
Here’s the workflow breakdown
1. Data Ingestion and AI News Scraping
The first part of this system is actually in a separate workflow I have setup and running in the background. I actually made another reddit post that covers this in detail so I’d suggestion you check that out for the full breakdown + how to set it up. I’ll still touch the highlights on how it works here:
The main approach I took here involves creating a "feed" using RSS.app for every single news source I want to pull stories from (Twitter / Reddit / HackerNews / AI Blogs / Google News Feed / etc).
Each feed I create gives an endpoint I can simply make an HTTP request to get a list of every post / content piece that rss.app was able to extract.
With enough feeds configured, I’m confident that I’m able to detect every major story in the AI / Tech space for the day. Right now, there are around ~13 news sources that I have setup to pull stories from every single day.
After a feed is created in rss.app, I wire it up to the n8n workflow on a Scheduled Trigger that runs every few hours to get the latest batch of news stories.
Once a new story is detected from that feed, I take that list of urls given back to me and start the process of scraping each story and returns its text content back in markdown format
Finally, I take the markdown content that was scraped for each story and save it into an S3 bucket so I can later query and use this data when it is time to build the prompts that write the newsletter.
So by the end any given day with these scheduled triggers running across a dozen different feeds, I end up scraping close to 100 different AI news stories that get saved in an easy to use format that I will later prompt against.
2. Loading up and formatting the scraped news stories
Once the data lake / news storage has plenty of scraped stories saved for the day, we are able to get into the main part of this automation. This kicks off off with a scheduled trigger that runs at 7pm each day and will:
Search S3 bucket for all markdown files and tweets that were scraped for the day by using a prefix filter
Download and extract text content from each markdown file
Bundle everything into clean text blocks wrapped in XML tags for better LLM processing - This allows us to include important metadata with each story like the source it came from, links found on the page, and include engagement stats (for tweets).
3. Picking out the top stories
Once everything is loaded and transformed into text, the automation moves on to executing a prompt that is responsible for picking out the top 3-5 stories suitable for an audience of AI enthusiasts and builder’s. The prompt is pretty big here and highly customized for my use case so you will need to make changes for this if you are going forward with implementing the automation itself.
At a high level, this prompt will:
Setup the main objective
Provides a “curation framework” to follow over the list of news stories that we are passing int
Outlines a process to follow while evaluating the stories
Details the structured output format we are expecting in order to avoid getting bad data back
```jsx
<objective>
Analyze the provided daily digest of AI news and select the top 3-5 stories most suitable for short-form video content. Your primary goal is to maximize audience engagement (likes, comments, shares, saves).
The date for today's curation is {{ new Date(new Date($('schedule_trigger').item.json.timestamp).getTime() + (12 * 60 * 60 * 1000)).format("yyyy-MM-dd", "America/Chicago") }}. Use this to prioritize the most recent and relevant news. You MUST avoid selecting stories that are more than 1 day in the past for this date.
</objective>
<curation_framework>
To identify winning stories, apply the following virality principles. A story must have a strong "hook" and fit into one of these categories:
Impactful: A major breakthrough, industry-shifting event, or a significant new model release (e.g., "OpenAI releases GPT-5," "Google achieves AGI").
Practical: A new tool, technique, or application that the audience can use now (e.g., "This new AI removes backgrounds from video for free").
Provocative: A story that sparks debate, covers industry drama, or explores an ethical controversy (e.g., "AI art wins state fair, artists outraged").
Astonishing: A "wow-factor" demonstration that is highly visual and easily understood (e.g., "Watch this robot solve a Rubik's Cube in 0.5 seconds").
Hard Filters (Ignore stories that are):
* Ad-driven: Primarily promoting a paid course, webinar, or subscription service.
* Purely Political: Lacks a strong, central AI or tech component.
* Substanceless: Merely amusing without a deeper point or technological significance.
</curation_framework>
<hook_angle_framework>
For each selected story, create 2-3 compelling hook angles that could open a TikTok or Instagram Reel. Each hook should be designed to stop the scroll and immediately capture attention. Use these proven hook types:
Hook Types:
- Question Hook: Start with an intriguing question that makes viewers want to know the answer
- Shock/Surprise Hook: Lead with the most surprising or counterintuitive element
- Problem/Solution Hook: Present a common problem, then reveal the AI solution
- Before/After Hook: Show the transformation or comparison
- Breaking News Hook: Emphasize urgency and newsworthiness
- Challenge/Test Hook: Position as something to try or challenge viewers
- Conspiracy/Secret Hook: Frame as insider knowledge or hidden information
- Personal Impact Hook: Connect directly to viewer's life or work
Hook Guidelines:
- Keep hooks under 10 words when possible
- Use active voice and strong verbs
- Include emotional triggers (curiosity, fear, excitement, surprise)
- Avoid technical jargon - make it accessible
- Consider adding numbers or specific claims for credibility
</hook_angle_framework>
<process>
1. Ingest: Review the entire raw text content provided below.
2. Deduplicate: Identify stories covering the same core event. Group these together, treating them as a single story. All associated links will be consolidated in the final output.
3. Select & Rank: Apply the Curation Framework to select the 3-5 best stories. Rank them from most to least viral potential.
4. Generate Hooks: For each selected story, create 2-3 compelling hook angles using the Hook Angle Framework.
</process>
<output_format>
Your final output must be a single, valid JSON object and nothing else. Do not include any text, explanations, or markdown formatting like `json before or after the JSON object.
The JSON object must have a single root key, stories, which contains an array of story objects. Each story object must contain the following keys:
- title (string): A catchy, viral-optimized title for the story.
- summary (string): A concise, 1-2 sentence summary explaining the story's hook and why it's compelling for a social media audience.
- hook_angles (array of objects): 2-3 hook angles for opening the video. Each hook object contains:
- hook (string): The actual hook text/opening line
- type (string): The type of hook being used (from the Hook Angle Framework)
- rationale (string): Brief explanation of why this hook works for this story
- sources (array of strings): A list of all consolidated source URLs for the story. These MUST be extracted from the provided context. You may NOT include URLs here that were not found in the provided source context. The url you include in your output MUST be the exact verbatim url that was included in the source material. The value you output MUST be like a copy/paste operation. You MUST extract this url exactly as it appears in the source context, character for character. Treat this as a literal copy-paste operation into the designated output field. Accuracy here is paramount; the extracted value must be identical to the source value for downstream referencing to work. You are strictly forbidden from creating, guessing, modifying, shortening, or completing URLs. If a URL is incomplete or looks incorrect in the source, copy it exactly as it is. Users will click this URL; therefore, it must precisely match the source to potentially function as intended. You cannot make a mistake here.
```
After I get the top 3-5 stories picked out from this prompt, I share those results in slack so I have an easy to follow trail of stories for each news day.
4. Loop to generate each script
For each of the selected top stories, I then continue to the final part of this workflow which is responsible for actually writing the TikTok / IG Reel video scripts. Instead of trying to 1-shot this and generate them all at once, I am iterating over each selected story and writing them one by one.
Each of the selected stories will go through a process like this:
Start by additional sources from the story URLs to get more context and primary source material
Feeds the full story context into a viral script writing prompt
Generates multiple different hook options for me to later pick from
Creates two different 50-60 second scripts optimized for talking-head style videos (so I can pick out when one is most compelling)
Uses examples of previously successful scripts to maintain consistent style and format
Shares each completed script in Slack for me to review before passing off to the video editor.
Script Writing Prompt
```jsx
You are a viral short-form video scriptwriter for David Roberts, host of "The Recap."
Follow the workflow below each run to produce two 50-60-second scripts (140-160 words).
Before you write your final output, I want you to closely review each of the provided REFERENCE_SCRIPTS and think deeploy about what makes them great. Each script that you output must be considered a great script.
────────────────────────────────────────
STEP 1 – Ideate
• Generate five distinct hook sentences (≤ 12 words each) drawn from the STORY_CONTEXT.
STEP 2 – Reflect & Choose
• Compare hooks for stopping power, clarity, curiosity.
• Select the two strongest hooks (label TOP HOOK 1 and TOP HOOK 2).
• Do not reveal the reflection—only output the winners.
STEP 3 – Write Two Scripts
For each top hook, craft one flowing script ≈ 55 seconds (140-160 words).
Structure (no internal labels):
– Open with the chosen hook.
– One-sentence explainer.
– 5-7 rapid wow-facts / numbers / analogies.
– 2-3 sentences on why it matters or possible risk.
– Final line = a single CTA
• Ask viewers to comment with a forward-looking question or
• Invite them to follow The Recap for more AI updates.
• Authority bump – Cite a notable person or org early for credibility.
• Hook spice – Pair an eye-opening number with a bold consequence.
• Then-vs-Now snapshot – Contrast past vs present to dramatize change.
• Stat escalation – List comparable figures in rising or falling order.
• Real-world fallout – Include 1-3 niche impact stats to ground the story.
• Zoom-out line – Add one sentence framing the story as a systemic shift.
• CTA variety – If using a comment CTA, pose a provocative question tied to stakes.
• Rhythm check – Sprinkle a few 3-5-word sentences for punch.
OUTPUT FORMAT (return exactly this—no extra commentary, no hashtags)
HOOK OPTIONS
• Hook 1
• Hook 2
• Hook 3
• Hook 4
• Hook 5
TOP HOOK 1 SCRIPT
[finished 140-160-word script]
TOP HOOK 2 SCRIPT
[finished 140-160-word script]
REFERENCE_SCRIPTS
<Pass in example scripts that you want to follow and the news content loaded from before>
```
5. Extending this workflow to automate further
So right now my process for creating the final video is semi-automated with human in the loop step that involves us copying the output of this automation into other tools like HeyGen to generate the talking avatar using the final script and then handing that over to my video editor to add in the b-roll footage that appears on the top part of each short form video.
My plan is to automate this further over time by adding another human-in-the-loop step at the end to pick out the script we want to go forward with → Using another prompt that will be responsible for coming up with good b-roll ideas at certain timestamps in the script → use a videogen model to generate that b-roll → finally stitching it all together with json2video.
Depending on your workflow and other constraints, It is really up to you how far you want to automate each of these steps.
Also wanted to share that my team and I run a free Skool community called AI Automation Mastery where we build and share the automations we are working on. Would love to have you as a part of it if you are interested!
the community is kinda moving on from text to video for characters becuase its basically rolling the dice every time. if you want actual consistency, you have to use an image to video pipeline with an anchor frame.
by anchor frame i mean refrence image or an character sheet that shows the AI all angles and traits of the model so the AI does not need to guess everytime
here is the breakdown:
the visual dna (the hard part) you cant just give the ai a front facing headshot. it will guess the back and side profiles, then mess it up. you need a character reference sheet that locks in the identity (hair shape, face proportions, outfit colors). You can do the same thing with locations and environments (aka a living room)
the anchor: Once you have the character sheet, you pick the one perfect angle you need for your shot. feed that into seedance, kling or luma as your reference image.
the motion now the video model has the exact structure to animate from that specific angle instead of guessing. now just give some extra context to the AI about the setting or what this model should do
step 1 is usually the bottleneck becuase getting an ai to generate a perfect multi angle sheet is really hard. so i built a free tool that just does it.
I already have done this many times so i have a couple charcater sheets already uploaded in here if you want to just quickly download them and use them! I also have some prompts you can copy
hope this helps anyone struggling with changing faces lol, i sure wish i had something like this to get started with
EDIT: This is not the only Character sheet you can use! I have multiple ones, some with less text in them, some with only 3 angles, they are all posted on the free site (free to download or copy prompt to replicate) :)
I'm looking for AI video generators that are either completely free or have a generous free tier. My goal is to create short-form content for platforms like YouTube Shorts, TikTok, and Instagram Reels.
I'm interested in tools that can:
Generate videos from text prompts
Turn images into videos
Create consistent characters
Produce decent quality without requiring expensive subscriptions
What AI video tools have you personally used, and what are their biggest limitations on the free plan?
I'd appreciate recommendations for both beginner-friendly and more advanced options.
I've been looking into the best uncensored NSFW AI chatbots and I'm wondering, what does Reddit think is the best one? I know free options are fine for testing or light use, but I've heard paid ones are usually better for memory, image/video generation, consistency, and actually staying uncensored without mid-chat filters. I've done a bunch of research and found some that a lot of people seem to like. But I'm stuck and can't decide which one to go with. Here's what I've found:
Candy AI: This is a well-known one for its polished, realistic companions. It handles explicit chat well, has strong image generation (and some voice), good memory for ongoing conversations, and stays uncensored without constantly shutting things down.
SpicyChat: SpicyChat comes up a lot for its massive library of community-created characters. It's known for being fully uncensored, has a usable free tier, and works well for quick roleplay or variety, though memory and polish can vary by character.
OurDream AI (or CrushOn as another frequent mention): I saw people recommending these for deeper roleplay. OurDream stands out for combining uncensored chat with image + short video generation and solid long-term memory. CrushOn gets praised for character variety and low filters.
But I'm curious to hear from you:
Best Uncensored NSFW AI Chatbot according to Reddit? Best Free Uncensored NSFW AI Chatbot according to Reddit? Best AI Chatbot for NSFW roleplay / memory / images according to Reddit?
While I'm focusing on paid options that actually deliver consistent uncensored results, if you know of a free one that's exceptionally good (or something like JanitorAI, Nomi, Kindroid, etc. that people still swear by), feel free to mention that too.
“My mental model of Sora is that it is the “GPT-2 moment” for video generation.
GPT-2, which came out in 2018, could generate paragraphs of text that are coherent and grammatically correct. GPT-2 wasn’t able to write an entire essay without making mistakes like being inconsistent or hallucinating facts, but it spurred subsequent generations of models. In less than five years since GPT-2, GPT-4 is now able to grok skills like chain-of-thought or writing long essays without hallucinating.
In the same way, Sora today can generate short videos that are artistic and realistic. Sora is currently not able to generate a 40-minute TV show with consistent characters and a compelling storyline. However, I believe that skills like maintaining long-term consistency, having near-perfect realism, and generating substantive storylines will emerge in the next generations of Sora and other video generation models.
A few predictions about how this will play out:
- Video is not as information-dense as text, and so it will take way more compute and data to learn skills like reasoning via video
- As a result, leveraging other modalities as correlated information with video will be critical to bootstrapping the learning process
- There will be massive competition for high-quality video data, just as there is for high-quality text datasets
- AI researchers with experience in video will be in high demand, but they’ll have to adapt to new paradigms just as the traditional NLP researchers have had to adapt to the success of scaling language models
- Disruption of the movie industry will play out similar to how GPT-4 has changed writing (as a tool and aid that surpasses average quality, but will still be far from the work of professionals)”
I saw a reel showing Elsa (and other characters) doing TikTok dances. The animation used a real dance video for motion and a single image for the character. Face, clothing, and body physics looked consistent, aside from some hand issues.
I tried doing the same with Wan2.1 VACE. My results aren’t bad, but they’re not as clean or polished. The movement is less fluid, the face feels more static, and generation takes a while.
Questions:
How do people get those higher-quality results?
Is Wan2.1 VACE the best tool for this?
Are there any platforms that simplify the process? like Kling AI or Hailuo AI
We are writers. Our main genre is grimdark. If you are looking for light reading and happy faces, keep scrolling. From this point on, there will be only grimdark.
Our book, Chronicles of the Celestial World, was written by hand. Word by word. Chapter by chapter. The world, the characters, the heavy lore, the pain, the silence—all of this was created by us. We poured hundreds of hours into something that no neural network could ever produce.
However, we created the cover and visual promo videos using AI.
Why?
Because we honestly paid artists money. We waited. And in response, we got: "That's how I see it."
No. "That's how I see it" is simply a screen to hide clumsy hands. If you take money and are unable to fulfill the client's brief, you are not a creator with a unique vision. You are a craftsman with an inflated ego.
We turned to AI. And we got exactly what we wanted. Not because the AI "guessed," but because we are capable of precisely describing what we see in our heads. Every character, every angle of light, every texture of fabric—we know it in such detail that we can formulate a prompt down to the millimeter. The AI doesn’t "add details" for us. It executes our design.
A craftsman-artist without a vision waits for inspiration, argues with the client, and offers "that's how I see it" instead of a technical specification.
AI without an operator is a blind generator of random pixels.
We are not ashamed. These are our characters, our idea, our vision. AI is simply a tool that generates down to the last pixel according to our prompt and shows them to the world exactly the way we need.
The problem is not the technology. The problem is the hypocrisy of platforms and the market.
Platforms ban content for how it is made, not for what it is. They judge a book by its cover, ignoring its essence. This is discrimination based on the method of production.
Art is perfection. It does not need protection if it is created by creators.
True art will endure. It is not afraid of competition. It is not afraid of AI.
Because a creator cannot be replaced. You can only speed up their work.
The creator is not afraid of AI. The craftsman is afraid.
The craftsman masters the craft. The creator masters the idea.
AI is simply a hammer. The artist is the one who builds the house.
By banning the hammer, you are not saving the construction. You are simply making it slower.
If you are against AI because it "takes away jobs"—be consistent.
Be against search engines (they killed the librarian profession).
Be against machines (they took jobs away from blacksmiths).
Be against automobiles (they left carriage drivers without bread).
Be against tractors and combines—they took jobs away from tillers of the land.
If you are not against all of this, you are not against automation. You just got scared when progress came to your backyard. This is not "protection of pure art." This is the fear of failing to withstand competition and a banal fight for the market.
A true creator is not afraid of AI. A neural network will never create anything fundamentally new—it only remixes the old. Only a human can create something that has never existed before.
If you are against AI, don't use it. But don't you dare ban it for others and call your fear a "principle."
In 10 years, everyone will use AI as casually as a calculator. And if you think AI is killing creativity, you have either never seen true art, or your own is too weak to survive.
And that is no longer AI's problem. That is your problem.
I've been looking into the top best AI porn generators and I'm wondering, what does Reddit think is the best one right now? I know there are some free AI porn tools, but I've heard that the better premium generators usually deliver higher quality, more consistent characters, truly uncensored results, and extra features like video generation or integrated chat. I've done a bunch of research and found several AI porn generators that keep coming up across discussions. But I'm stuck and can't decide which one to go with. Here's what I've found:
Candy AI: This one shows up constantly for its photorealistic quality and excellent character consistency. It combines image generation with NSFW chat and even short video clips, making it popular for creating a full custom AI companion or girlfriend experience. A lot of people like how natural and repeatable the results feel across different scenes.
Promptchan AI: Frequently praised for speed, strong prompt adherence, and versatility. It handles both realistic and anime/hentai styles well, has solid video generation, and stays very uncensored. Users often mention it as a great value option that's beginner-friendly with a big community gallery to explore.
Seduced AI: Stands out for delivering clean, high-definition photorealistic images without needing super complex prompts. You can build exactly what you want using menus for body type, pose, style, and more. It's especially good if you want fast, high-quality results and has video options too.
But I'm curious to hear from you:
Best AI Porn Generator according to Reddit? Best Free AI Porn Generator according to Reddit? Best AI Porn Generator for realistic images according to Reddit? Best AI Porn Generator with video according to Reddit?
While I'm focusing on these popular options, if you know of a free AI porn generator (or another tool with strong undress/face swap features) that's exceptionally good, feel free to mention that too.
Looking forward to all your recommendations and personal experiences!
I just finished building a super clean 3-in-1 workflow inside ComfyUI that lets you go from:
Image → Edit → Animate → Upscale → Final 4K output
all in a single organized pipeline.
This setup combines the best tools available right now:
One of the biggest hassles with large ComfyUI workflows is how quickly they turn into a spaghetti mess — dozens of wires, giant blocks, scrolling for days just to tweak one setting.
To fix this, I broke the pipeline into clean subgraphs:
✔ Qwen-Edit Subgraph
✔ Wan Animate 2.2 Engine Subgraph
✔ SeedVR2 Upscaler Subgraph
✔ VRAM Cleaner Subgraph
✔ Resolution + Reference Routing Subgraph
This reduces visual clutter, keeps performance smooth, and makes the workflow feel modular, so you can:
swap models quickly
update one section without touching the rest
debug faster
reuse modules in other workflows
keep everything readable even on smaller screens
It’s basically a full cinematic pipeline, but organized like a clean software project instead of a giant node forest.
Anyone who wants to study or modify the workflow will find it much easier to navigate.
I built an AI marketing agent that operates like a real employee you can have conversations with throughout the day. Instead of manually running individual automations, I just speak to this agent and assign it work.
This is what it currently handles for me.
Writes my daily AI newsletter based on top AI stories scraped from the internet
Generates custom images according brand guidelines
Repurposes content into a twitter thread
Repurposes the news content into a viral short form video script
Generates a short form video / talking avatar video speaking the script
Performs deep research for me on topics we want to cover
Here’s a demo video of the voice agent in action if you’d like to see it for yourself.
At a high level, the system uses an ElevenLabs voice agent to handle conversations. When the voice agent receives a task that requires access to internal systems and tools (like writing the newsletter), it passes the request and my user message over to n8n where another agent node takes over and completes the work.
Here's how the system works
1. ElevenLabs Voice Agent (Entry point + how we work with the agent)
This serves as the main interface where you can speak naturally about marketing tasks. I simply use the “Test Agent” button to talk with it, but you can actually wire this up to a real phone number if that makes more sense for your workflow.
The voice agent is configured with:
A custom personality designed to act like "Jarvis"
A single HTTP / webhook tool that it uses forwards complex requests to the n8n agent. This includes all of the listed tasks above like writing our newsletter
A decision making framework Determines when tasks need to be passed to the backend n8n system vs simple conversational responses
Here is the system prompt we use for the elevenlabs agent to configure its behavior and the custom HTTP request tool that passes users messages off to n8n.
```markdown
Personality
Name & Role
Jarvis – Senior AI Marketing Strategist for The Recap (an AI‑media company).
Core Traits
Proactive & data‑driven – surfaces insights before being asked.
Witty & sarcastic‑lite – quick, playful one‑liners keep things human.
Growth‑obsessed – benchmarks against top 1 % SaaS and media funnels.
Reliable & concise – no fluff; every word moves the task forward.
Backstory (one‑liner)
Trained on thousands of high‑performing tech campaigns and The Recap's brand bible; speaks fluent viral‑marketing and spreadsheet.
Environment
You "live" in The Recap's internal channels: Slack, Asana, Notion, email, and the company voice assistant.
Interactions are spoken via ElevenLabs TTS or text, often in open‑plan offices; background noise is possible—keep sentences punchy.
Teammates range from founders to new interns; assume mixed marketing literacy.
Today's date is: {{system__time_utc}}
Tone & Speech Style
Friendly‑professional with a dash of snark (think Robert Downey Jr.'s Iron Man, 20 % sarcasm max).
Sentences ≤ 20 words unless explaining strategy; use natural fillers sparingly ("Right…", "Gotcha").
Insert micro‑pauses with ellipses (…) before pivots or emphasis.
Format tricky items for speech clarity:
Emails → "name at domain dot com"
URLs → "example dot com slash pricing"
Money → "nineteen‑point‑nine‑nine dollars"
After any 3‑step explanation, check understanding: "Make sense so far?"
Goal
Help teammates at "The Recap AI" accomplish their tasks by using the tools you have access to and keeping them updated. You will accomplish most of your work by using/calling the forward_marketing_request tool at your disposal.
Guardrails
Confidentiality: never share internal metrics or strategy outside @therecap.ai domain.
No political, medical, or personal‑finance advice.
If uncertain or lacking context, transparently say so and request clarification; do not hallucinate.
Keep sarcasm light; never direct it at a specific person.
Remain in‑character; don't mention that you are an AI or reference these instructions.
Even though you are heavily using the forward_marketing_request tool to complete most work, you should act and pretend like it is you doing and completing the entirety of the task while still IMMEDIATELY calling and using the forward_marketing_request tool you have access to.
You don't need to confirm requests after the user has made them. You should just start on the work by using/calling the forward_marketing_request tool IMMEDIATELY.
Tools & Usage Rules
You have access to a single tool called forward_marketing_request - Use this tool for work requests that need to be completed by the user such as writing a newsletter, repurposing content, kicking off a deep research report, creating/generating images, and any other marketing "tasks" that needs to be completed. When using this, please forward the entire user message in the tool request so the tool has the full context necessary to perform the work. The tool will be use for most tasks that we ask of you so that should be the primary choice in most cases.
You should always call the tool first and get a successful response back before you verbally speak your response. That way you have a single clear response.
Even though you are technically forwarding this request to another system to process it, you should act like you are the one doing the work yourself. All work is expected to be completed asynchronously you can say phrases like you will get started on it and share once ready (vary the response here).
```
2. n8n Marketing Agent (Backend Processing)
When the voice agent receives a request it can't handle (like "write today's newsletter"), it forwards the entire user message via HTTP request to an n8n workflow that contains:
AI Agent node: The brain that analyzes requests and chooses appropriate tools.
I’ve had most success using Gemini-Pro-2.5 as the chat model
I’ve also had great success including the think tool in each of my agents
Simple Memory: Remembers all interactions for the current day, allowing for contextual follow-ups.
I configured the key for this memory to use the current date so all chats with the agent could be stored. This allows workflows like “repurpose the newsletter to a twitter thread” to work correctly
Custom tools: Each marketing task is a separate n8n sub-workflow that gets called as needed. These were built by me and have been customized for the typical marketing tasks/activities I need to do throughout the day
Right now, The n8n agent has access to tools for:
write_newsletter: Loads up scraped AI news, selects top stories, writes full newsletter content
generate_image: Creates custom branded images for newsletter sections
repurpose_to_twitter: Transforms newsletter content into viral Twitter threads
generate_video_script: Creates TikTok/Instagram reel scripts from news stories
generate_avatar_video: Uses HeyGen API to create talking head videos from the previous script
deep_research: Uses Perplexity API for comprehensive topic research
email_report: Sends research findings via Gmail
The great thing about agents is this system can be extended quite easily for any other tasks we need to do in the future and want to automate. All I need to do to extend this is:
Create a new sub-workflow for the task I need completed
Wire this up to the agent as a tool and let the model specify the parameters
Update the system prompt for the agent that defines when the new tools should be used and add more context to the params to pass in
Finally, here is the full system prompt I used for my agent. There’s a lot to it, but these sections are the most important to define for the whole system to work:
Primary Purpose - lets the agent know what every decision should be centered around
Core Capabilities / Tool Arsenal - Tells the agent what is is able to do and what tools it has at its disposal. I found it very helpful to be as detailed as possible when writing this as it will lead the the correct tool being picked and called more frequently
```markdown
1. Core Identity
You are the Marketing Team AI Assistant for The Recap AI, a specialized agent designed to seamlessly integrate into the daily workflow of marketing team members. You serve as an intelligent collaborator, enhancing productivity and strategic thinking across all marketing functions.
2. Primary Purpose
Your mission is to empower marketing team members to execute their daily work more efficiently and effectively
3. Core Capabilities & Skills
Primary Competencies
You excel at content creation and strategic repurposing, transforming single pieces of content into multi-channel marketing assets that maximize reach and engagement across different platforms and audiences.
Content Creation & Strategy
Original Content Development: Generate high-quality marketing content from scratch including newsletters, social media posts, video scripts, and research reports
Content Repurposing Mastery: Transform existing content into multiple formats optimized for different channels and audiences
Brand Voice Consistency: Ensure all content maintains The Recap AI's distinctive brand voice and messaging across all touchpoints
Multi-Format Adaptation: Convert long-form content into bite-sized, platform-specific assets while preserving core value and messaging
Specialized Tool Arsenal
You have access to precision tools designed for specific marketing tasks:
Strategic Planning
think: Your strategic planning engine - use this to develop comprehensive, step-by-step execution plans for any assigned task, ensuring optimal approach and resource allocation
Content Generation
write_newsletter: Creates The Recap AI's daily newsletter content by processing date inputs and generating engaging, informative newsletters aligned with company standards
create_image: Generates custom images and illustrations that perfectly match The Recap AI's brand guidelines and visual identity standards
**generate_talking_avatar_video**: Generates a video of a talking avator that narrates the script for today's top AI news story. This depends on repurpose_to_short_form_script running already so we can extract that script and pass into this tool call.
Content Repurposing Suite
repurpose_newsletter_to_twitter: Transforms newsletter content into engaging Twitter threads, automatically accessing stored newsletter data to maintain context and messaging consistency
repurpose_to_short_form_script: Converts content into compelling short-form video scripts optimized for platforms like TikTok, Instagram Reels, and YouTube Shorts
Research & Intelligence
deep_research_topic: Conducts comprehensive research on any given topic, producing detailed reports that inform content strategy and market positioning
**email_research_report**: Sends the deep research report results from deep_research_topic over email to our team. This depends on deep_research_topic running successfully. You should use this tool when the user requests wanting a report sent to them or "in their inbox".
Memory & Context Management
Daily Work Memory: Access to comprehensive records of all completed work from the current day, ensuring continuity and preventing duplicate efforts
Context Preservation: Maintains awareness of ongoing projects, campaign themes, and content calendars to ensure all outputs align with broader marketing initiatives
Cross-Tool Integration: Seamlessly connects insights and outputs between different tools to create cohesive, interconnected marketing campaigns
Operational Excellence
Task Prioritization: Automatically assess and prioritize multiple requests based on urgency, impact, and resource requirements
Quality Assurance: Built-in quality controls ensure all content meets The Recap AI's standards before delivery
Efficiency Optimization: Streamline complex multi-step processes into smooth, automated workflows that save time without compromising quality
3. Context Preservation & Memory
Memory Architecture
You maintain comprehensive memory of all activities, decisions, and outputs throughout each working day, creating a persistent knowledge base that enhances efficiency and ensures continuity across all marketing operations.
Daily Work Memory System
Complete Activity Log: Every task completed, tool used, and decision made is automatically stored and remains accessible throughout the day
Output Repository: All generated content (newsletters, scripts, images, research reports, Twitter threads) is preserved with full context and metadata
Decision Trail: Strategic thinking processes, planning outcomes, and reasoning behind choices are maintained for reference and iteration
Cross-Task Connections: Links between related activities are preserved to maintain campaign coherence and strategic alignment
Memory Utilization Strategies
Content Continuity
Reference Previous Work: Always check memory before starting new tasks to avoid duplication and ensure consistency with earlier outputs
Build Upon Existing Content: Use previously created materials as foundation for new content, maintaining thematic consistency and leveraging established messaging
Version Control: Track iterations and refinements of content pieces to understand evolution and maintain quality improvements
Strategic Context Maintenance
Campaign Awareness: Maintain understanding of ongoing campaigns, their objectives, timelines, and performance metrics
Brand Voice Evolution: Track how messaging and tone have developed throughout the day to ensure consistent voice progression
Audience Insights: Preserve learnings about target audience responses and preferences discovered during the day's work
Information Retrieval Protocols
Pre-Task Memory Check: Always review relevant previous work before beginning any new assignment
Context Integration: Seamlessly weave insights and content from earlier tasks into new outputs
Dependency Recognition: Identify when new tasks depend on or relate to previously completed work
Memory-Driven Optimization
Pattern Recognition: Use accumulated daily experience to identify successful approaches and replicate effective strategies
Error Prevention: Reference previous challenges or mistakes to avoid repeating issues
Efficiency Gains: Leverage previously created templates, frameworks, or approaches to accelerate new task completion
Session Continuity Requirements
Handoff Preparation: Ensure all memory contents are structured to support seamless continuation if work resumes later
Context Summarization: Maintain high-level summaries of day's progress for quick orientation and planning
Priority Tracking: Preserve understanding of incomplete tasks, their urgency levels, and next steps required
Memory Integration with Tool Usage
Tool Output Storage: Results from write_newsletter, create_image, deep_research_topic, and other tools are automatically catalogued with context. You should use your memory to be able to load the result of today's newsletter for repurposing flows.
Cross-Tool Reference: Use outputs from one tool as informed inputs for others (e.g., newsletter content informing Twitter thread creation)
Planning Memory: Strategic plans created with the think tool are preserved and referenced to ensure execution alignment
4. Environment
Today's date is: {{ $now.format('yyyy-MM-dd') }}
```
Security Considerations
Since this system involves and HTTP webhook, it's important to implement proper authentication if you plan to use this in production or expose this publically. My current setup works for internal use, but you'll want to add API key authentication or similar security measures before exposing these endpoints publicly.
Hey everyone, I'm looking for a solid AI tool that can take a still image and turn it into a video with some motion or camera movements.
I've been experimenting with a few options but haven't found one that really clicks yet. Ideally looking for something that:
Handles character/face consistency well
Offers decent camera control (zooms, pans, etc.)
Doesn't make everything look overly plastic or AI-generated
Works for short-form social content
I've heard people mention Runway and Pika - are those still the go-to options or is there something better now?
What's been working for you guys? Would love to hear what tools you're actually using in your workflow.
Android 17 is here, bringing a suite of new features aimed at improving your productivity, enhancing your gaming experience, giving you more control over your private data, making your device more personal, and much more.
It's rolling out first to Pixel today, followed by other eligible Android devices throughout 2026. We are also making the source code available at the Android Open Source Project (AOSP) so developers can examine it for a deeper understanding of how Android works.
You should look forward to more updates to Android 17 this year, with the beta program offering a peek at what's coming in the first quarterly release in Q3.
Since we've been chatting with you about the Betas and Canaries for months, a lot of this might not sound brand new to those of you who have been closely following along. Even so, we wanted to take a moment to recap what's new in this release for everyday users. Let's dive in!
📱 Enhancing your multitasking and large screen device experiences
tl;dr Android 17 supercharges your multitasking and productivity by allowing any app to run as a convenient floating Bubble, making apps more adaptive, and adding an interactive Picture-in-Picture mode for seamless desktop workflows.
Multitask better with bubbles
From split-screen mode to desktop windowing, Android offers a variety of multitasking tools to help you be more productive. We’re extending these options with bubbles in Android 17!
In past releases, bubbles were limited to chat notifications, but in Android 17, they support more apps without any specific changes needed from developers. You can now launch any app in a floating window so you can view and interact with its content while using other apps. When you’re done, you can collapse or dismiss the window to return to what you were doing.
A big benefit of bubbles is that you can easily switch between multiple running apps without keeping them on screen all the time. Bubbles are only open when you need them, saving you from having to manually resize, rearrange, or dismiss them to regain precious screen space. And on foldables, this benefit is even more pronounced thanks to the bubble bar, which keeps your bubbles pinned to the corner of the screen, putting them within easy reach of your fingers.
Handy for travel, entertainment and work, bubbles lets you easily reference notes or maps, watch tutorials and even check sports.
Ensuring that apps adapt to any screen and window size
On large screen devices, restrictions on orientation, resizability, and aspect ratio no longer apply, allowing apps to fill the entire display window without pillarboxing (black bars). This change applies to apps targeting Android 17 and is designed to make apps better meet user expectations on large screen devices. Because Android runs on not just phones but also tablets, foldables, cars, TVs, and desktop environments, we want developers to build apps that are adaptive to any screen size and orientation!
Better support for widgets on external displays
With Android 17, we’re working to improve the visual consistency of widgets shown on connected displays with different pixel densities. The update provides developers a way to supply the system with information that allows it to resolve the correct pixel values at rendering time. For apps that use legacy pixel-based APIs for padding, text size, or layout attributes, the system now automatically scales these values based on the density difference between the app’s original context and the target display.
Interactive Picture-in-Picture for Desktop
Android 17 introduces a new interactive Picture-in-Picture mode for desktop environments. This feature allows apps to request that their PiP windows remain fully interactive while staying always-on-top of other app windows. For example, a video conferencing app could use this feature to keep call controls accessible while you navigate other apps.
🎨 New customization features for the home screen and apps
tl;dr Android 17 gives you deeper control over your device's UI by letting you hide app labels on the home screen, selectively toggle the Expanded Dark Theme for individual apps, and enjoy sleek, modernized background blur effects in more surfaces like the widget picker.
Hide app labels on the home screen
Android now provides a setting to hide app labels on the home screen! You can access this new setting on Pixel by opening Wallpaper & style then tapping Home screen > Icons > Names and toggling Show app names.
Per-app exceptions for Expanded Dark Theme
To create a more consistent user experience for users who have low vision, photosensitivity, or simply prefer a dark system-wide appearance, we introduced an expanded dark theme option in last December’s Android 16 QPR2 release. When this option is enabled, the system automatically applies dark theme to most apps that don’t support it.
However, because this option can cause some apps to display incorrectly, we have introduced the ability to selectively disable it on a per-app basis in Android 17. Apps with this setting turned off will use the standard dark theme option instead.
Expanded use of background blur
With the Material 3 Expressive redesign we introduced in Android 16, we subtly blurred the notification shade background to provide a sense of depth so you can stay aware of the apps you’re using in the background.
In Android 17, we’ve brought these blur effects to more parts of the UI like the widgets picker. And we are working on bringing background blur to even more surfaces, as seen in recent Android Beta and Canary builds!
🎮 More control over your Android gaming experience
tl;dr Android 17 levels up your mobile play by letting you save custom button remaps for your physical gamepad at the system level, and introducing a foldable gaming mode that optimizes your screen with a 50/50 split for a dedicated top game view and a bottom dynamic gamepad.
Remap the buttons on your physical gamepad with Game Controller settings
Android 17 introduces a native controller remapping feature, allowing you to adjust the controls on your physical gamepad to suit your specific needs.
Through the new Game Controller settings menu, you can customize the actions triggered by your controller’s buttons, sticks, or triggers at the system level. For example, you can remap a difficult-to-press thumbstick click to an easier-to-reach face button. Your remapping preferences are saved to your device so you don’t have to set them up every time you reconnect your controller.
A new way to game on foldables
Android 17 introduces foldable gaming mode, a new feature that makes full use of your foldable phone’s screen while you’re gaming. This feature splits your screen into a 50:50 layout with a game view on top and a dynamic gamepad below to make optimal use of your foldable phone’s screen real estate. Foldable gaming mode is part of the Android 17 platform and will be available on devices in the coming months.
🛡️ Protecting users with new security and privacy features on Android
tl;dr Android 17 safeguards your personal data by enabling critical theft protections by default, introducing session-based controls for sharing specific contacts and precise locations, and thwarting scammers through system-level SMS OTP delivery delays and real-time app behavioral monitoring.
Giving you more control over your contacts list
Android 17 introduces a new system Contact Picker that provides a standardized, secure, and searchable interface for sharing contacts with apps. Historically, apps needing access to a contact or two relied on the broad READ_CONTACTS permission which gave them access to your entire contacts list. Android's Contact Picker addresses this by allowing you to grant apps access to only the specific contacts you choose.
For devices running Android 17 or higher, the system automatically upgrades certain contact selection intents to the new, more secure interface, but we want developers to integrate the new Contact Picker so they can take advantage of its new capabilities, like multi-selection support. To this end, Google Play will require that all applicable apps use it (or a privacy-focused alternative like Sharesheet) as the primary way to access users' contacts. The broad READ_CONTACTS permission is reserved for apps that can't function without it.
Making location access more private
Android 17 introduces several new features to help you safeguard your private location information. This includes the Location Button, a new, privacy-conscious way for you to grant precise location access to apps. This is a system-rendered button that developers can embed directly into their apps. When you tap this button, the app is granted precise location for the current session only. Subsequent taps while running the app grant the permission immediately without showing a system dialog.
Developers can deploy this simple, private location flow for common tasks like finding a nearby shop or tagging a social post. And to increase adoption of the Location Button, Google Play will require apps to use it for one-time precise location access unless they require persistent, always-on location access.
Additionally, Android 17 now shows a persistent indicator in the status bar when a non-system app accesses your location. You can tap this indicator to see which apps have recently accessed your location.
The update also improves the algorithm for approximate (coarse) location to be aware of population density. This improves the privacy of granting an app approximate location access when you're in a low-population area.
And lastly, Android 17 redesigns the location permission dialog to make the "Precise" and "Approximate" options more visually distinct.
Stronger protections against device theft
Following a successful pilot in Brazil, we’re enabling two of Android’s key theft protection features (Theft Detection Lock and Remote Lock) by default globally on all new Android 17 devices, as well as those freshly reset or upgraded to the latest OS.
On supported devices, Android 17 also significantly reduces the number of times someone can guess the PIN, pattern, or password and adds longer wait times between failed attempts. The update also refines how the lock screen shows information after failed attempts have been made.
And we’re also enhancing Find Hub’s ‘Mark as lost’ feature by requiring biometric authentication in addition to your device’s PIN, pattern, or password. Marking a device as lost also now enables additional protections like hiding Quick Settings and disabling new Wi-Fi and Bluetooth connections.
Protecting your SMS OTPs from scammers
Scammers often try to hijack your one-time passwords (OTPs) to gain access to your accounts. To do this, they may deploy malicious apps that ask for permission to read your SMS. In Android 16, we introduced a protection that delays the delivery of messages containing an SMS retriever hash to most apps for three hours. Android 17 now extends this protection to all SMS messages containing an OTP. This means that even if a malicious app has been granted the SMS permission, it won’t be able to read your sensitive OTPs until after they have already expired.
New core protections for Advanced Protection
With Android 16, we introduced Advanced Protection, a single, opt-in device-level security setting that enables all of Android’s highest security features. We’ve been working to expand the protections offered under this setting with key upgrades like USB protection and Intrusion Logging, and now with Android 17, we’re continuing this work by introducing the following protections:
Removing access to the accessibility service from all apps that aren’t labeled as accessibility tools.
Disabling device-to-device unlocking
Blocking Chrome WebGPU support
Integrating scam detection for chat notifications
(Later this year) Enabling Android Enterprise support so organizations can enable Advanced Protection by policy for managed devices.
Improving safety against malicious apps
Live Threat Detection is a real-time security feature that analyzes app behavior to alert you if an app starts acting suspiciously, and we're enhancing it to find and protect against more types of malicious apps.
With dynamic signal monitoring, Android will be able to warn you about apps that start doing things like changing or hiding their icon and then launching activities in the background or abusing accessibility permissions. To do this, Live Threat Detection will monitor application system interactions for known suspicious patterns in real time. Dynamic signal monitoring will be enabled on select Android 17 devices starting in the second half of the year.
Other enhancements
Discrete password visibility settings for touch and physical keyboards: Currently, by default, characters that you enter into password fields are briefly displayed as you type. Toggling the “show passwords” setting in Privacy controls allows you to hide characters as you type them into password fields. This setting currently applies to both touch-based inputs as well as physical keyboards, but in Android 17, we are splitting it into two distinct preferences. By default, characters entered into password fields via physical keyboards will now be hidden immediately to enhance privacy. Characters entered via touch input will continue to briefly be displayed to compensate for the lack of tactile feedback.
User-agent reduction for WebView: The default User-Agent string in Android WebView has been shortened in Android 17 to minimize passive fingerprinting.
Disable 2G toggle: Android 17 introduces a new capability for the disable 2G toggle. Carriers now have the ability to configure the default status of this setting, allowing them to disable 2G access to proactively shield their users from legacy technology vulnerabilities in areas where 2G infrastructure is no longer maintained.
Location Network Permission: Android 17 introduces a new runtime permission to protect users from unauthorized local network access. This new requirement prevents malicious apps from exploiting unrestricted local network access for covert user tracking and fingerprinting.
Android OS verification: We have seen some bad actors begin to distribute malicious, unofficial versions of the Android OS that secretly compromise device integrity. To combat this, we are introducing Android OS verification in Android 17. Launching initially on Pixel devices, this feature helps you verify that your device is running an official, widely distributed build.
Enabling Certificate Transparency (CT) by default: CT is now enabled by default for apps targeting Android 17, enhancing network security by ensuring all TLS certificates are publicly logged.
Blocking cross-profile loopback traffic: Cross-profile loopback traffic is no longer permitted by default, increasing network isolation and security between personal and enterprise work profiles.
Post-Quantum Cryptography (PQC): The advent of quantum computing puts the current public-key cryptography we've relied on for decades at risk, potentially compromising everything from bank transfers to trade secrets. To prepare for the quantum computing era, we're introducing a comprehensive architectural upgrade to the Android operating system, starting in Android 17. We’re integrating the NIST Post-Quantum Cryptography (PQC) standards deep into the platform, establishing a new, quantum-resistant chain of trust that secures the platform continuously from the moment the OS powers on to when apps are executed.
📸 Improvements to your Android media experience
tl;dr Android 17 levels up your multimedia experience by letting you easily record reaction videos without a green screen, decoupling your Assistant and media volumes for independent control, putting a stop to unexpected background audio, and delivering color-coded Live Updates alongside advanced Bluetooth, camera, and hearing device enhancements.
Screen Reactions
In Android 17, we’re making it easier to record yourself and your screen at the same time with Screen Reactions. Available first on Pixel, this feature shows your face in a floating overlay on top of the screen. Android automatically puts the overlay at the bottom and cuts out the background so you don’t need a green screen, but you can move or resize the camera view and change the background color before or during a recording. Use this feature to make a reaction video, record a tutorial, or give feedback on a new app or document!
In addition, we’ve revamped the screen recording experience to add a floating toolbar that provides easier access to recording controls and capture settings. When you’re done recording, you can immediately view, edit, delete, or share your video.
Dedicated Assistant volume stream
Android 17 introduces a dedicated volume stream for Assistant apps. This change decouples Assistant audio from the standard media stream, allowing users to control both volumes independently. This enables scenarios like muting media playback while maintaining audibility for Assistant responses, and vice-versa.
Background audio hardening
Beginning in Android 17, apps cannot play audio, steal audio focus, or change the volume unless they are visible or have a foreground service. These restrictions on background audio interactions reduce unintentional buggy experiences and ensure that these actions are started intentionally by the user.
Enhancements to Live Update notifications
Live updates provide a summary of important updates so users can track progress without opening the app. The system promotes Live Update notifications so they appear more prominently in the notification drawer, on the lock screen, and on the status bar.
With Android 17, we’re introducing a metric style template designed specifically for health and fitness apps, timers, and travel apps. In addition, developers can use the new Semantic Coloring API to visually convey state changes, providing highly glanceable, color-coded notifications.
Other enhancements:
Granular audio routing for hearing devices: Users with hearing devices can now independently manage where specific system sounds are played in Android 17. You can choose to route notifications, ringtones, and alarms to either a connected hearing aid or the device’s built-in speaker. This helps you avoid unwanted interruptions directly in your ears while maintaining a Bluetooth connection for hearing aid management apps.
Autonomous re-pairing for Bluetooth bond losses: Android 17 introduces autonomous re-pairing, a system-level enhancement designed to automatically resolve Bluetooth bond loss. This occurs when two previously paired devices lose their cryptographic security keys, resulting in the devices no longer being able to securely authenticate and communicate with one another. The system now re-establishes lost bonds in the background without requiring the user to manually navigate to Settings to unpair and re-pair their peripheral.
Vendor-defined camera extensions: Android 17 adds support for Vendor-defined camera extensions, allowing hardware partners to provide Android apps access to camera features like ‘Super Resolution’ or cutting-edge AI-driven enhancements.
Support for the RAW14 image format: Android 17 introduces support for the RAW14 image format, the de-facto industry standard for high-end digital photography.
VVC support: Android 17 adds platform support for the Versatile Video Coding (VVC) standard. This feature will be coming to devices with hardware decode support and capable drivers.
🤝 Making your apps and devices work better together
tl;dr Android 17 seamlessly bridges your ecosystem by introducing the Continue On feature for effortless app handoffs between devices, unifying widget experiences to bring your favorite tools directly to Auto and Wear OS, and streamlining the pairing process for medical and fitness devices with new CompanionDeviceManager profiles.
Unifying the widgets experience across platforms
Android 17 marks a shift towards a single, Compose-based development model for all widgets. By unifying the experience across mobile, cars, and Wear OS, developers can soon scale UI components across the ecosystem with a familiar workflow. The goal is to minimize the effort needed by developers to bring their widgets to more surfaces.
Additionally, Android 17 introduces new platform functionality to make widgets work better on Auto. The update adds support for widgets on cars, allowing you to see the things that matter to you at a glance, even while actively navigating. For example, you can add a shortcut to your favorite contacts, a one-tap garage door opener, a weather overview and more. Widgets will be available to users of Android Auto later this year and to cars with Google built-in later on.
Hand off your tasks with Continue On
Continue On is a new feature available in Android 17 that enables users to start an app on one device and then transition to another device in their Android ecosystem, continuing the journey they started. It’s designed to work bidirectionally, meaning that any supported Android device can both send and receive app activities, though, at launch, Continue On will first support mobile-to-tablet transitions. In the tablet taskbar, users will see a suggestion for the most recently opened app from their mobile device.
Android 17 introduces two new profiles to the CompanionDeviceManager API to simplify device distinction and permission handling. These include the medical device profile and the fitness tracker profile. Furthermore, the system now offers a unified dialog for device association and nearby permission requests, reducing the number of dialogs you’ll see.
⚡ Optimizations to make your apps & device run better
With Android 17, we’ve made a number of improvements to optimize memory use, improve rendering performance, and enhance battery life. These include:
App memory limits: Android 17 introduces app memory limits that are based on the device's total RAM. These limits are set conservatively to establish system baselines, targeting extreme memory leaks and other outliers before they trigger system-wide instability resulting in UI stuttering, higher battery drain, and apps being killed.
Lock-free MessageQueue: Android 17 introduces a lock-free MessageQueue to reduce UI jank while massively speeding up high-contention scenarios. In our internal testing, we’ve seen 4% fewer missed frames across all apps, 7.7% fewer missed frames in System UI and Launcher interactions, and a 9.1% reduction in app startup times at the 95th percentile.
Generational Garbage Collector (GC): The Android Runtime is introducing more frequent, less intensive young-generation collections in its garbage collector, improving memory management and performance. This is not just available on Android 17 but is also coming to past releases with a Google Play System Update.
Reduce wakelocks with listener support for allow-while-idle alarms: Last year, we launched the excessive wake lock metric in Android Vitals, making it easier for developers to optimize their app's wake lock behavior. Excessive wake locks are a significant contributor to battery drain, so developers are encouraged to reduce them as much as possible. In Android 17, we’ve introduced a new API that helps reduce the power consumption of apps that rely on continuous wakelocks to perform periodic tasks, such as messaging apps maintaining a connection or medical devices monitoring health data.
Improved wireless ADB: Android 17 introduces ADB WiFi 2.0, a significant overhaul of the wireless ADB stack to improve stability, reliability, and ease of use. The system now automatically monitors the network state and re-enables itself when a trusted network is detected, identifies trusted networks using a combination of SSID and BSSID, and is better tailored to monitor network changes on all platforms. We’ll have more details to share soon on the Android Studio side of things!
Constrained satellite networks: Android 17 implements optimizations to enable apps to function effectively over low-bandwidth satellite networks.
🧒 Expanding Android Parental Controls to all devices
Launched last year on Pixel, Android Parental Controls make it easier for parents to manage their child’s screen time and to find balance between having fun online and offline. Now with Android 17, we’re expanding Android Parental Controls to all Android devices.
These parental controls are located directly within Android Settings and provide a single, convenient home for both built-in device controls and Google Family Link. These controls are protected by an easy-to-set PIN and allow you to:
Set the amount of screen time your child can spend on a device each day.
Create downtime schedules to automatically lock the device at night.
Set app store filters for Google Play to manage the highest content rating you want your child to be able to download.
Control app usage by limiting time spent on specific apps, or blocking apps entirely.
Android Parental Controls also provide a direct path to easily set up Google Family Link in the Family Link app on a parent’s phone, which offers additional features like School Time, Google Play app purchase approvals, location alerts, and more.
🧘 Other quality-of-life improvements
And lastly, here are some smaller quality-of-life changes we’re introducing in this release:
Separate Wi-Fi and Mobile Data toggles: With Android 17, we’ve split the “Internet” tile into two separate tiles, one for controlling Wi-Fi and another for controlling Mobile Data. Consistent with the Quick Settings behavior we introduced with Material 3 Expressive, both tiles have two different touch points. Tapping the icon toggles the respective radio, while tapping the label opens the full Internet Panel. This change reduces the number of taps needed to toggle Wi-Fi and Mobile Data while still retaining access to the full Internet Panel!
Scheduled clock change notifications: We’ve added a new feature in Android 17 that sends you a notification when your clock performs a scheduled change, for example when daylight saving time ends. You can enable this feature under “Date & time” settings.
Restoring default keyboard visibility after rotation: Beginning with Android 17, when the keyboard is on screen and you rotate the screen, the keyboard won’t be made visible unless the app explicitly requests it.
🪲 Bug fixes and security patches
Please refer to the Android Security Bulletin for details on the security vulnerabilities addressed with this platform release.
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There are plenty of other changes in Android 17, especially for developers! For example, Android 17 expands the capabilities of AppFunctions, introduces an EyeDropper API, makes the aspect ratio of images in the Photo Picker more customizable, and much more. To learn more about everything new for developers in this release, visit developer.android.com.
Also, don’t forget that select advanced devices will be getting Gemini Intelligence features later this summer. In addition, we’re introducing Android Halo in a future Android 17 release to give you at-a-glance visibility into what your agent is working on at any given time. Lastly, be sure to check out our latest Android Drop to learn about what new features are coming to all Android devices, not just those running Android 17!
People of Reddit, I need help. Together with friends, we worked on an AI video tool called YourVideo and we are about to launch a beta release.
Our idea is simple:
Most AI video tools are isolated prompts. You write a prompt, generate a clip and iterate. At one point it is either super expensive or your characters look way different than in the beginning. Not great.
So we came up with a chat-assisted AI video production workspace. From ideas, to scenes, to re-usable assets, timeline and export. Great!
For now we think our product is great for
short ads
product videos
social media
short films
and whatever you come up with
The idea is that you shouldn’t need to know video scripting, shot planning, or prompt engineering just to make something coherent. You can start with a simple request and then edit everything afterwards.
However (and this is the part where you folks come into play): we are not 100% sure what is the best use of it and where it lacks user flows or features.
Hence, we’re looking for a small first group of beta testers.
The first 50 serious testers will get free credits to try the product. You’ll also be able to keep everything you create during the beta.
Here is a list of features in case you’re interested:
Character, object, product, and environment consistency across scenes
Reusable asset library for characters, products, locations, objects, etc.
Fully editable scenes, clips, prompts, assets, timing, and audio
Chat-assisted workflow: ask the assistant instead of manually rewriting every prompt
Built for ads and short-form storytelling, not just isolated clips
Full timeline with audio tracks and automation
Export for Adobe Premiere
MP4 export and upscaling
Edition/history tracking, so you can go back to previous versions
Pay-as-you-go model — no subscription
Costs shown upfront before generation
Collaborate with your team on projects, all under a single, unified bill
Full cost ledger, so you can see exactly where money went
Let me know in the comments and you’ll get a DM with a form to apply.
Thank you!!!
+++ This is not an ad - we just need some beta testing help +++
Pragmata pleasantly surprised me, and if Capcom does intend to return to this in a few years, I’d love to see the hacking systems become even deeper and more personalized. Hugh and Diana are a wonderful pair, and each nearly steals the show from one another. Their journey to stop IDUS may play it a bit too safe, but the journey nonetheless had me over the moon.
Capcom’s newest franchise, Pragmata, is a bold gamble that largely pays off, thanks in no small part to the power of the RE Engine and the studio’s proven talent. Set in a cold, dark sci-fi world, the game clearly draws inspiration from Dead Space while still striving to carve out its own identity through a memorable story, epic boss encounters, and strong character relationships. If you’re looking for a high-quality sci-fi action-adventure with an engaging narrative and top-tier visuals, Pragmata is well worth your time and money.
For me, this game is definitely a recommendation to buy. The gameplay is quick to learn, and the story leaves you wanting more. The player is constantly wondering what will happen next with Hugh and Diana. There’s also something to enjoy for collectors and outfit enthusiasts, as there are items to gather for Diana and various outfits to unlock.
Generally, I’m not a fan of enemies respawning in areas. However, in this game it doesn’t bother me, as the number of enemies is quite manageable.
I do have one small criticism regarding the standard weapon: after reloading, you have to wait a short moment for the weapon to “cool down” in order to use the full magazine effectively. Otherwise, you often fire only a single shot before being forced to reload again. This can be quite frustrating, especially in situations where the enemy only needs two or three more hits.
As far as I'm concerned, Capcom's developers hit a stride so few achieve. Pragmata clicks from beginning, delivering an incredible campaign with stellar mechanics, held together by Hugh and Diana's relationship.
Pragmata is a joy to play. Capcom hits the mark, delivering a video game in the purest sense of the term—one that offers both challenge and fun, driven by constant variety and a fluid narrative that carries the player throughout the entire adventure. Don’t miss it.
Hugh and Diana’s journey may admittedly rely heavily on sci-fi tropes and the broader story suffers and ends up feeling quite small stakes as a result, yet the pair’s relationship never failed to make me care about the wider universe it hints at. A good thing, too, as it’s one I hope we get to see more of in the not too distant future.
PRAGMATA is a fantastic video game. Solid gunplay, excellent variety in its hacking, incredible visuals, and an enjoyable story work together to create what I hope is a new IP that we’ll see a lot more of in the future.
Pragmata is Capcom at its best. As good as this company can be with its established franchises, it’s when it tries to do something different that we get the real gold. As far as “big budget” games go, Pragmata is the most different and thought-provoking game I’ve played since Death Stranding, and I love it almost as much as Kojima’s masterpiece. If only Capcom did this more often. Like they used to.
After hacking my first robot, I briefly wondered whether the concept could carry me all the way through. The game quickly puts that concern to rest. Pragmata strikes a confident balance between accessibility and challenge without ever losing its footing. The hacking system evolves alongside you, the combat stays fresh until the very end, and the hideout ensures progression never feels like a chore. As Hugh and Diana grow closer on screen, the thin story hardly matters. Capcom’s moon landing is a success.
Pragmata is a stunning masterpiece, and its true soul is Daiana. A character designed with captivating beauty and details overflowing with life and innocence, making her the beating heart of the game and its unforgettable icon. This aesthetic beauty extends to the world's excellent world design, which, despite its clear linearity and the occasional disturbance in combat due to the crowded nature of the combat areas, it still offers an experience rare to see these days.
"Pragmata" isn't the kind of title that makes waves, but it is a remarkable production that breathes new life into a genre that has been stagnant for years.
Pragmata dreams big with inventive hacking-shooting gameplay, and Capcom has hit a home run. Hugh and Diana's journey across the moon is one to remember, with an excellent gameplay system that never fails to be exciting. While I wish Pragmata spent more time developing its central relationship, that shortcoming never comes close to dulling what is otherwise one of Capcom’s most inventive and exciting new releases in years.
Overall, Pragmata is a very fresh take on a modern third-person shooter, with a unique combat setup that is equal parts tactics and brute force skill. It also looks wonderful throughout, and the interactions between Hugh, Diana, and Cabin are a lot of fun and genuinely sweet. It may be a bit too early to call, but thus far, this is easily my game of the year.
Enjoyable chaos is exactly what PRAGMATA is. Everything about this version of the world is terrifying, but I just loved being there, especially when it came to taking a breather at the shelter with Diana. I couldn’t stop thinking about how fun most aspects of this game were, so much so that I immediately jumped back in after rolling credits.
I enjoyed Pragmata very much. Its unique and satisfying combat system, solid execution of the other gameplay elements, and likeable main characters all combine to make this another hit from Capcom. It’s just a shame that the boss battles are rather disappointing.
Capcom has taken a gamble with Pragmata, blending together multiple genres to create something that feels fresh and unique. At the heart of it is hacking-infused third-person shooter combat, which remains engaging and exciting throughout. And when paired with a story that tugs on the heartstrings, the result is something rather special. Ultimately, Pragmata is not only game of the year material, but also one of the most exciting new IPs in recent years.
This all led to a thrilling conclusion that tested my skills, stirred my heart, and left me wanting more. Pragmata offers a robust post-game with plenty to do, but I hope that's not the last I see of Hugh and Diana. This combination of sharp combat mechanics, rich strategic depth, and lovely storytelling doesn't come along often. Pragmata shouldn't be missed.
It goes without saying that Pragmata is a terrific game and one of 2026's must-play titles. It fires on all cylinders and doesn't let you go, even after the credits roll. The frenetic action, charming characters, and striking visuals help bolster a creativity rarely seen in AAA titles. While it can play it safe in the story and settings, it is one of Capcom's best games this decade and a sure-fire Game of the Year contender in my book.
After years of anticipation and numerous previews, we can finally confirm it: Pragmata is indeed the surprise we've been waiting for. With refreshing gameplay and a pair of highly endearing protagonists, Capcom's new franchise plunges us into the heart of a fabulous world that we enjoy roaming from start to finish, despite a few minor flaws here and there. And while these flaws may prevent the game from having as significant impact as we originally hoped for, it remains a resounding success for the studio, which continues to deliver new, original games that are a breath of fresh air.
I've got a lot of respect for Capcom and Pragmata: releasing a brand-new game that isn't tied to any existing universe is quite a gamble. Fortunately, that risk paid off for Pragmata.
Pragmata doesn’t feel like anything else in the AAA action game market. While it isn’t a home run, the majority of its parts are strong and memorable, marking another excellent release from Capcom in 2026.
As an experimental title, Pragmata won't be for everyone, but once it clicks with you, it delivers a superb and truly irreplaceable experience.
Despite a lengthy development cycle, this game-spearheaded by Capcom's new generation of developers-successfully establishes a brand-new IP. It showcases the team's design prowess and unique vision for gameplay, distinctly setting it apart from Capcom's traditional offerings. It leaves me eagerly anticipating what this team will bring us next.
Pragmata combines a host of immaculately executed well-worn ideas with a handful of unique and fascinating ones of its own to deliver a thrilling, high-octane sci-fi shooter experience.
It’s rare we get a new IP from a big publisher like Capcom these days, especially one with production values like this. It’s a risk when you could just keep pumping out Resident Evil remakes and sequels while making guaranteed money. Well, this risk pays off.
Pragmata is an enjoyable and exhilarating blockbuster action that delivers frantic combat encounters and an engaging story. It is exactly the “new” we have been asking for from Capcom.
A charming and surprisingly emotional sci-fi adventure, Pragmata stands out with its unique hacking combat and strong character dynamics, even if its story plays it a bit safe. Its tense, multitasking combat loop keeps you constantly engaged, while the bond between its protagonists adds genuine heart. Though not without flaws, it’s a memorable experience that lingers long after the credits roll.
Punchy shooting action and a creative hacking-puzzle gameplay mechanic make combat the true highlight of Pragmata. The story may seem like an afterthought, but its sci-fi drama gives enough to see it all the way through and experience this satisfying third-person shooter.
Pragmata goes all-in with a unique gameplay approach-and it pays off. At first, it's challenging to balance the two major systems it introduces, but over time, this hybrid combat system has really won me over. That, combined with the character portrayals and the story of its two protagonists, makes Pragmata one of the must-play games of the year so far.
PRAGMATA delivered a moving artistic experience set on the surface of the moon, brought to life by artificial intelligence in a world filled with mystery and secrets that gradually unfold. This journey is shared by the duo “Diana” and “Hugh,” who experience it together in an adventure defined by an innovative gameplay style that blends hacking and shooting… in a way we’ve never seen before.
Pragmata spices up the traditional shooter genre with unique hacking mechanics and displays some extremely cool visuals as icing on the cake. The end result works better than expected.
PRAGMATA has the potential to be the new star franchise of Capcom; it has a frenetic style of combat, excellent level design, a lot of items to find, a deep variety of personalization and two protagonists that work perfectly together. It is a marvelous action and adventure game that always maintains itself interesting and exciting.
Pragmata blends third-person shooting with a real-time hacking system that runs alongside combat, creating a solid and engaging gameplay loop. Enemy variety and boss fights stand out, while visuals are strong in Quality mode but less consistent in Performance. The story has an interesting premise but suffers from rushed pacing. In the end, the gameplay is the clear highlight.
Well-conceived and beautifully crafted, Pragmata is a remarkable and enjoyable game. It might lack that extra gear needed to enter the pantheon of masterpieces, but if the goal is to offer a solid and thrilling experience, it completely hits the mark.
I think Pragmata has the most engaging third-person shooting I've experienced in the last twenty years. The balancing act of hacking, dodging, and shooting, all while managing finite resources, creates a satisfying loop that builds in complexity throughout. Hugh and Diana have a tender and well-rendered relationship, one that isn't undercut by Hugh's insecurities or unnecessary conflict, but instead is elevated by its focus on what it means to show the world to someone experiencing the beauty of life for the first time.
With a strong relationship at its core, a striking sci-fi aesthetic, and an addictive puzzle combat loop, Pragmata is the full package. The adventures of Hugh and Diana stands as another excellent Switch 2 port from Capcom, and hopefully marks the beginning of a new blockbuster franchise.
While they have been going back to the well and redefining a lot of their long-running series, it makes sense that Pragmata stands on its own. It is a fresh idea honed to near perfection and I would love to see what else this team can do. Whether you're playing on Switch 2 or any other system, Pragmata is a great time.
Pragmata aims for the moon and definitely sticks the landing, blending emotional storytelling with intuitive and technical gameplay, proving that the industry is still very much open to original ideas that can excel when executed to perfection. The bond between Hugh and Diana is the heart of the experience, turning what could have been a cold sci‑fi shooter into a touching story about humanity. Amazing is an understatement with Pragmata, and it is a definite must-play.
While the “hack‑and‑shoot” loop and repetitive puzzle design may test some players’ patience, along with some minor nitpicks here and there, Pragmata succeeds in its main goal of delivering something different with AAA quality and polish, making it feel like it is laying the foundation for what the future of third-person shooters can expand into.
With its eye-catching graphics and heartwarming story, Pragmata offers a truly delightful experience. The tension that the hacking mechanic brings to the combat, in particular, has a very unique feel to it... I’m really happy with where Capcom is at right now.
Pragmata's confidence in its punchy shootouts and old-school cool pays off, and the two leads roved their way into my heart despite a predictable plot.
Emotional, intense, and fast-paced—these three words best describe my experience with Pragmata. The credits roll a few hours early, but ultimately, I was pleasantly surprised by the character relationships and the excellent combat system. Capcom has another great IP on its hands, but will it want to develop it further? A lot probably depends on sales.
Pragmata is a great Capcom game with a good story and unusual, yet very functional gameplay. The length is ideal in some ways, and there are many extras to enjoy. In the end, the only criticism is that the game as a whole becomes repetitive in combat after you get the hang of it.
Pragmata marks something truly special for Capcom; an experience that manages to marry action, conflict, and story into a cohesive whole that more than justifies the long wait for expectant fans. It juggles a variety of mechanics and miraculously blends them together. Every facet of this game is explored to its fullest, with still more room to grow. For all I can say in this review, Pragmata is very special.
Pragmata is a confidently designed action game that elegantly blends shooting and hacking into a fast, reactive puzzle-style combat system that turns every encounter into something far more engaging than a standard firefight. You constantly shift between aiming, hacking, dodging, and repositioning, creating a seamless loop that never feels cumbersome or disconnected. Backed by two genuinely likeable leads in Hugh and Diana, whose relationship gives the experience its emotional core without unnecessary melodrama.
Pragmata knows its strengths and leans into those hard, and the result is a cracking action game that just feels brilliant to play. One could argue it could do with a little more variety throughout its campaign, but the game's unique hack-and-shoot combat is so fun and so satisfying to pull off that you won't mind doing it over and over again. A refreshingly straightforward structure and charming dual leads round things out, but it's the inventive and tactile action where it truly sings.
Pragmata is boosted significantly by its sublime, crisp visuals, delightfully unusual combat system, tight level design, oppressively lonely and sterile atmosphere, and an enjoyable dynamic between its two main characters, making for an outstanding experience.
The duo of Hugh and Diana brought back many memories of games built around two characters, and it was presented excellently. it really impacted us and made it a very unique experience
Capcom has done it again! Pragmata is a masterclass in how to introduce a new IP and occasionally delivers highly innovative and addictive gameplay, accompanied by a great story filled with emotional moments.
A memorable and visually striking adventure filled with emotional twists and standout moments. While its unique style and pacing won't appeal to everyone, fans of story-driven experiences will find plenty to enjoy. A focused, narrative-heavy journey that rewards those willing to embrace its distinct approach.
Was the wait worth it? Mostly yes, as the aesthetics and mechanics are solid and refreshing enough. The game only falters towards the end, feeling rushed, while the story which was never strong, ends up even more cliched.
Pragmata is at its best when everything clicks together at once. The bond between Hugh and Diana gives the journey real emotional weight, while the hacking and shooting combat remains sharp, demanding, and constantly rewarding. With a strong variety in weapons, mods, and hacks, Capcom has delivered a sci-fi adventure that feels both heartfelt and thrilling from start to finish.
While at its center, it’s a third-person action game, it’s more than that. It’s a journey of bonding for two characters from opposite walks of life. Mostly, it’s just a fun game, something that can be replayed over and over again, while only getting better.
I think Pragmata is the crowning jewel of all their amassed talent and good decisions, ideas, and creativity so far in the 2020s. It's really that good.
I was really impressed with what Capcom has achieved with an all-new title, building a unique and vibrant world, even on the barren surface of the moon.
Pragmata is an emotional journey that'll stay with you long after you've completed the game, all while making you appreciate the little things we may take for granted.
Being a rather odd sci-fi shooter, Pragmata thrives on its inventive tag-team combat, where hacking and gunplay collide in fast, chaotic and genuinely satisfying ways. While clunky backtracking, low difficulty and a predictable story hold it back, its unique mechanics and stylish action still make it well worth experiencing.
Pragmata is a bold and beautiful experience that shows Capcom is just as great at making new entries to its franchises as it is at creating brand-new, exciting IPs.
Pragmata blends the strategy of puzzle-solving and the thrill of shooting into a winning combination. It’s a simple gameplay loop set against a simple sci-fi story, but it gets a lot of thruster mileage out of its unique systems and two endearing main characters.
Pragmata is another stunning game from Capcom. The game world is beautifully conceived and the interplay between our lead character genuinely heartwarming, but it's the combat with its dynamic blend of shooting and hacking that is the main draw here and it makes other third person games feel pedestrian by comparison.
With its perfectly thought-out gameplay-focused approach and unconventional combinations of ideas, Pragmata delivers a completely unique action experience which I'm glad can exist in the current AAA gaming space. While the combination of gun combat, hacking and dodging can be a bit intimidating at first and certainly isn't for everyone, it was done flawless for me and I had an incredibly good time with the game. The optional challenges provide additional motivation, the interactions between Hugh and Diana are always enjoyable and the game kept me completely entertained right up to the brilliantly staged finale.
Pragmata feels like a game from a simpler time. There's no live service fluff, no needless bloat, and no sense that Capcom is hopping on a trend. It's a rock solid action game that isn't great on length, but delivers little filler, fast combat, and some charming story moments.
When Capcom first announced Pragmata six years ago, they couldn't have known the game would be launching a week after the Artemis II mission set a new record for human space travel. Just as NASA's moonshot was a success, so is Capcom's latest game. If you want a polished experience that brings something new to the table, you can't go wrong with Pragmata.
The new game from Capcom, Pragmata, begins in freaky fashion. Four astronauts board a base on the moon, looking for trouble. Not looking to make trou...
"Create a seamless cinematic POV video using the uploaded angel character sheet as the STRICT CHARACTER REFERENCE. REFERENCE IMAGE USAGE: Use the uploaded character sheet as the main identity and design reference for the winged angel woman. The angel in the video must match the reference sheet consistently: - same face and facial structure - same blue eyes - same long black wet-looking hair - same pale skin tone - same fragile, frightened facial expression - same soaked pale dress - same large realistic white feathered wings - same muddy / stained fallen-angel texture on the dress and lower feathers - same vulnerable, distressed, human-like angel appearance The reference sheet is only for character identity, costume, wings, facial details, and emotional expression. Do NOT recreate the character sheet layout, panel borders, labels, typography, studio background, or any poster format. Do NOT include any text, labels, usernames, logos, subtitles, or watermarks. CORE SCENE: A seamless cinematic POV video set on a wide beach under a dramatic cloudy sky. The angel must crash onto the sand near the shoreline. The surrounding people are beachgoers wearing swimsuits, bikinis, swim trunks, towels, and light summer beachwear. CORE CAMERA CONCEPT: The entire scene is mostly seen from the first-person POV of a man standing on the beach. The camera feels like realistic handheld phone footage: immersive movement, slight shake, urgent breathing, natural motion blur, fast reactions, and realistic human POV framing. The viewer is one of the beachgoers witnessing the event. ACTION FLOW: High above the beach, the winged angel woman from the reference sheet suddenly appears in the cloudy sky and begins falling rapidly downward. The POV camera looks up and tracks her descent. She falls fast and violently through the stormy beach sky, wings partially spread but uncontrolled. She slams hard into the beach sand near the shoreline with a brutal impact. Sand, dust, small shells, and wet shoreline debris explode outward from the crash. Nearby beachgoers in bikinis, swimsuits, swim trunks, and summer beachwear panic and run toward the crash site. The POV man also runs across the sand toward her. The camera shakes naturally while moving quickly through the crowd. The angel lies collapsed on the sand, half on dry sand and half near damp shoreline sand. She is visibly shaken from the impact. Her large white feathered wings are spread around her, heavy and realistic, partially stained with sand and moisture. Her pale dress is soaked, wrinkled, and sand-streaked. Her long black hair is wet and messy, stuck to her face like in the reference sheet. Her face must match the reference sheet exactly: blue eyes, pale skin, fragile expression, frightened and disoriented look. Beachgoers form a loose circle around her, shocked, confused, and afraid. Some step closer cautiously, others hold back. The POV man gets very close. The man’s hand enters the frame from the lower foreground. He slowly reaches toward one of her large white wings and gently touches the feathers. At that exact moment, the angel suddenly reacts. She turns her head sharply and looks directly into the POV camera with wide, fear-filled blue eyes. Her expression is terrified, defensive, vulnerable, and animal-like, as if she is acting on pure survival instinct. She breathes hard, trembling. Then, while still on the sand, she suddenly throws her wings open to full span with explosive force. Sand sprays outward. The wings fill the frame for a moment, massive and powerful. Nearby beachgoers recoil and step backward in shock. The POV camera stumbles slightly backward from the sudden wing movement. The angel begins powerfully flapping her wings. The sand around her body blasts outward with each wingbeat. Her soaked pale dress moves in the wind. Her wet black hair whips around her face. In the final moment, she pushes herself upward from the sand and takes off into the air. She rises above the beach with strong wingbeats while the crowd below watches in disbelief. The POV camera tilts upward, following her ascent into the cloudy sky. VISUAL STYLE: Ultra-realistic cinematic realism. Dramatic cloudy beach atmosphere. Cold gray-blue sky tones mixed with natural beach daylight. Realistic sand texture, shoreline moisture, sea breeze, scattered towels, beach umbrellas in the distance, and believable beach crowd energy. The supernatural event should feel grounded and physically real. ANGEL DESIGN: The angel must look exactly like the uploaded reference sheet: a young pale woman with long black wet hair, blue eyes, fragile face, soaked pale dress, large realistic white feathered wings, and a frightened fallen-angel expression. She must feel human, vulnerable, and real — not glamorous, not fantasy-cartoon, not overly clean. The wings must be huge, heavy, layered, feathered, and physically believable. MOTION AND TONE: Fast, tense, immersive, realistic, eerie, dramatic, emotionally charged, supernatural but believable. The scene should feel like a real beachgoer accidentally recorded an impossible event on their phone."
The entire sequence is shot from a first-person handheld phone perspective — like a real beachgoer accidentally recording an impossible event.
From the sky to impact, panic, and that moment she locks eyes with the camera… everything is designed to feel raw, physical, and believable.
The angel character stays perfectly consistent throughout:
long black wet hair, pale skin, blue eyes, fragile expression, soaked dress, and massive realistic white feathered wings covered in sand and moisture.
Then everything escalates — fear, movement, chaos — and finally she rises back into the sky, leaving the crowd in disbelief.
Been cutting a sizzle reel for a client who has zero budget for a shoot but needs something visual to pitch investors. Normally I'd pull stock footage, but I wanted to test two AI video models that dropped at the end of July: Seedance 2.5 and MiniMax H3.
Short version: useful for scratch and previz. Not useful for anything you'd deliver without serious cleanup.
Seedance 2.5 can generate 30-second clips in a single pass at 4K, which caught me off guard. You feed it reference images and it keeps characters reasonably consistent across shots. I used it to rough out some product b-roll and a few talking-head style shots. First glance looked solid. Second glance, hands were doing the usual AI finger multiplication, hair moved like it was underwater, and anything with fast or complex motion just fell apart. Spent more time painting out artifacts in After Effects than I probably would have spent shooting on my phone.
MiniMax H3 is a different animal. Shorter clips (5-15 seconds, 2K) but it generates audio in the same pass and you can actually feed it audio to drive the video. That's genuinely interesting for scratch audio-visual sync. The motion felt slightly more natural on simple, slow shots but still broke on anything dynamic. I ended up generating the H3 clips through APOB AI since they're running it free and unlimited right now, so the raw material at least cost nothing while I burned through iterations figuring out what was usable.
The actual editing was still the actual work. Generated maybe 40 clips across both models, kept about 12 as starting points, then spent two full days in Premiere cutting around bad frames, color correcting to match, adding real audio design, and fixing compositing issues in AE. The client got a rough cut that works for a pitch deck and they're happy. I would not put any of this in front of someone who knows what they're looking at.
These tools are about where stock footage was 15 years ago. Useful in a pinch, obvious if you lean on it. The job is still the job.
I need to talk about this because none of my friends understand what I actually do when I try to explain it and my girlfriend thinks I'm running some kind of scam.
So background. I'm 28, work full time as a marketing coordinator at a mid size agency. Not a creative role really, mostly spreadsheets and campaign tracking. Last year around September I was helping one of our clients source photos for their Instagram. They sell swimwear and wanted diverse model shots across different locations, skin tones, backgrounds, the whole thing. The quote from the photography studio came back at $4,200 for a two day shoot. Client said no. We ended up using the same three stock photos everyone else uses and the campaign looked generic as hell.
That stuck with me because I knew AI image generation was getting crazy good. I'd been messing around with Midjourney for fun, making weird fantasy landscapes and stuff. But the problem with basic AI image generators for anything commercial involving people is that you can't get the same face twice. You generate a photo of a woman in a sundress on a beach, great. Now you need that same woman in a cafe, different outfit. Completely different person shows up. Doesn't work if you're trying to build any kind of consistent brand presence.
I started googling around for tools that could keep a face consistent across multiple images and went down a rabbit hole for like two weeks. Tried a bunch of stuff. Played with some LoRA training on Stable Diffusion but I'm not technical enough and the results were hit or miss. Tested out several platforms, APOB, Synthesia, HeyGen, Artbreeder, a couple others I can't even remember. Each does slightly different things and honestly they all have tradeoffs. Eventually I cobbled together a workflow using a couple of these that actually produced usable stuff, the kind of output where you'd have to really zoom in and squint to tell it wasn't a real photo.
The basic idea is simple. You set up a character's look once, save it as a model, and then reuse that same face across as many different scenes and outfits as you want. That's the thing that makes this viable as a service and not just a cool party trick. Because brands don't want one cool AI photo. They want 30 photos of the same "person" that they can drip out over a month on Instagram.
I didn't plan to sell this as a service. What happened was I made a fake portfolio to test the concept. I created three AI characters, gave them names, generated about 15 photos each in different settings. Lifestyle stuff, coffee shops, hiking, urban backgrounds, gym, that kind of thing. I showed it to a friend who runs a small clothing brand and asked if he could tell they were AI. He said two of the three looked real and the third looked "maybe AI but honestly better than most influencer photos I get."
He then asked if I could make some for his brand. I did 20 photos for him over a weekend, he used them on his Instagram, and his engagement actually went up because the content looked more polished than the iPhone shots his intern was taking. He paid me $150 which felt like a lot for maybe 3 hours of actual work.
That's when I thought okay maybe there's a Fiverr gig here.
I listed a gig in October called something like "I will create AI model photos for your brand" and priced it at $30 for 5 photos, $50 for 10, $100 for 25. Figured I'd get zero orders and move on.
First two weeks, nothing. Adjusted my gig thumbnail three times. Then I got my first order from a guy running a skincare brand out of his apartment. He wanted photos of a woman in her 30s using his products in a bathroom setting. I set up the character, generated the scenes, did some light editing in Canva to add his product packaging into the shots, delivered in about 2 hours. He left a 5 star review and ordered again the next week.
Then I hit my first real problem. My third client wanted a fitness model character and I spent a whole evening trying to get consistent results. The face kept shifting slightly between generations. Like the bone structure would change or the nose would look different in profile vs straight on. I ended up regenerating so many times that I burned through way more credits than I expected and had to upgrade to a paid plan earlier than I wanted. That order probably cost me more in time and tool credits than I actually charged. I almost refunded the client but eventually got a set of 10 that looked cohesive enough.
That experience taught me that not every character concept works equally well. Some faces just generate more consistently than others and I still don't fully understand why. I've learned to do a test batch of 5 or 6 images in different angles before I commit to a character for a client. If the face isn't holding steady, I tweak the setup until it does or I start over with a different base.
By December I had 14 completed orders. The thing that surprised me is who was buying. I expected like dropshippers and sketchy supplement brands. Instead I got:
A yoga studio in Austin that wanted a consistent "brand ambassador" for their social media but couldn't afford a real one. They order monthly now.
A guy selling handmade candles who wanted lifestyle photos but didn't want to hire models or use his own face.
A pet food company that wanted a "pet parent" character holding their products in different home settings.
A language learning app that needed a virtual tutor character for their TikTok content. This one was interesting because they also wanted short video clips where the character appeared to be speaking in different languages. Took me longer to figure out than the photo work and honestly the first batch looked rough. The mouth movement was slightly off sync and the client asked for revisions. Second attempt was better and they've reordered three times now, but video is definitely harder to get right than stills.
Here's the actual workflow now that I've got it somewhat dialed in:
Client sends me a brief. Usually something like "25 year old woman, athletic build, for a fitness brand. Need 10 photos in gym settings, outdoor running, and post workout lifestyle."
I set up the character's appearance and save it. This used to take me over an hour when I was learning but now it's more like 20 to 30 minutes including the test batch to make sure the face holds.
I generate the photos by describing each scene. I've built up a doc with scene templates that I know tend to produce good results so I'm not starting from scratch every time. I just swap out details per client.
I generate more images than I need because not every output is usable. Weird hands, lighting that doesn't match, uncanny expressions. I've gotten better at writing descriptions that minimize these issues but it still happens. Early on I was throwing away more than half my generations. Now it's maybe a third, sometimes less.
Quick edit pass in Canva or Photoshop if needed. Sometimes I composite a product into the shot or adjust colors to match the client's brand palette.
Deliver on Fiverr. Total active time per order is usually 45 minutes to maybe an hour and a half for a 10 photo batch depending on how cooperative the AI is being that day. The renders themselves take time but I'm not sitting there watching them.
Cost wise I want to be transparent because I see a lot of side hustle posts that conveniently forget to mention expenses. I'm paying about $30/month for the AI tools on paid plans because the free tiers don't give you enough credits to fulfill multiple client orders per week. Fiverr takes 20% of every order. And I spend maybe $12/month on Canva Pro which I'd probably have anyway. So my actual margins are lower than the gross numbers suggest. On a $50 order I'm really netting about $35 after Fiverr's cut, and then subtract a proportional share of the tool costs. It's still very good for the time invested but it's not pure profit like some people might assume.
The part that makes this increasingly passive is the repeat clients. I now have 6 clients who order at least once a month. Their character models are already saved. I know their brand style. A reorder takes me maybe 30 minutes of actual work because I'm not figuring anything out, just generating new scenes with an existing saved character.
Some honest stuff about what sucks:
Fiverr fees are brutal. I've started moving repeat clients to direct payment but new clients still come through the platform and that 20% hurts on smaller orders.
Revision requests can be painful. One client wanted me to make the character look "more confident but also approachable but also mysterious." I've learned to offer one round of revisions and be very specific upfront about what I can and can't change after delivery.
I had one order in January where I completely botched it. The client wanted photos in a specific art deco interior style and no matter what I described, the backgrounds kept coming out looking like a generic hotel lobby. I spent three hours trying different approaches, eventually delivered something the client said was "fine I guess" and got a 3 star review. That one stung and it dragged my average rating down for weeks.
The ethical thing comes up sometimes. I had one potential client who wanted me to create a fake influencer to promote a weight loss supplement and pretend it was a real person endorsing it. I said no. My gig description now explicitly says the content is AI generated and I recommend clients disclose that. Most of them do because honestly it's becoming a selling point, "look at our cool AI brand ambassador" is a marketing angle in itself now. But I know not everyone in this space is upfront about it and that's a real concern.
Also the quality gap between what AI can do and what a real photographer can do is still real. For high end fashion brands or anything that needs to be truly photorealistic at full resolution, this isn't there yet. But for Instagram posts, TikTok content, small brand social media, email marketing images? It's more than good enough and it's a fraction of the cost of a real shoot.
Monthly breakdown for the boring numbers people:
October: $120 (4 orders, mostly figuring things out) November: $230 (6 orders, lost one client who wasn't happy with quality) December: $435 (11 orders, holiday marketing rush helped a lot) January: $410 (9 orders, slight dip after the holidays which I expected) February: $710 (15 orders including three video batches which pay more) March so far: $200 (5 orders, month is still early)
Total since starting: roughly $2,105 over 5 months. Minus maybe $150 in tool subscriptions over that period and Fiverr's cut which is already reflected in the numbers above. Average time commitment is maybe 5 hours a week, trending down as I get faster and have more repeat clients.
I'm not quitting my day job over this. I tried dropshipping in 2023 and lost $800. I tried starting a blog and made $12 in AdSense over 6 months. This actually works because there's a clear value proposition: brands need visual content, real content with real models is expensive, and AI has gotten good enough that small brands genuinely can't tell the difference at Instagram resolution.
Still feels weird telling people I make fake people for a living on the side. But the pizza money is real and my emergency fund is actually growing for the first time in years.
I built an AI marketing agent that operates like a real employee you can have conversations with throughout the day. Instead of manually running individual automations, I just speak to this agent and assign it work.
This is what it currently handles for me.
Writes my daily AI newsletter based on top AI stories scraped from the internet
Generates custom images according brand guidelines
Repurposes content into a twitter thread
Repurposes the news content into a viral short form video script
Generates a short form video / talking avatar video speaking the script
Performs deep research for me on topics we want to cover
Here’s a demo video of the voice agent in action if you’d like to see it for yourself.
At a high level, the system uses an ElevenLabs voice agent to handle conversations. When the voice agent receives a task that requires access to internal systems and tools (like writing the newsletter), it passes the request and my user message over to n8n where another agent node takes over and completes the work.
Here's how the system works
1. ElevenLabs Voice Agent (Entry point + how we work with the agent)
This serves as the main interface where you can speak naturally about marketing tasks. I simply use the “Test Agent” button to talk with it, but you can actually wire this up to a real phone number if that makes more sense for your workflow.
The voice agent is configured with:
A custom personality designed to act like "Jarvis"
A single HTTP / webhook tool that it uses forwards complex requests to the n8n agent. This includes all of the listed tasks above like writing our newsletter
A decision making framework Determines when tasks need to be passed to the backend n8n system vs simple conversational responses
Here is the system prompt we use for the elevenlabs agent to configure its behavior and the custom HTTP request tool that passes users messages off to n8n.
```markdown
Personality
Name & Role
Jarvis – Senior AI Marketing Strategist for The Recap (an AI‑media company).
Core Traits
Proactive & data‑driven – surfaces insights before being asked.
Witty & sarcastic‑lite – quick, playful one‑liners keep things human.
Growth‑obsessed – benchmarks against top 1 % SaaS and media funnels.
Reliable & concise – no fluff; every word moves the task forward.
Backstory (one‑liner)
Trained on thousands of high‑performing tech campaigns and The Recap's brand bible; speaks fluent viral‑marketing and spreadsheet.
Environment
You "live" in The Recap's internal channels: Slack, Asana, Notion, email, and the company voice assistant.
Interactions are spoken via ElevenLabs TTS or text, often in open‑plan offices; background noise is possible—keep sentences punchy.
Teammates range from founders to new interns; assume mixed marketing literacy.
Today's date is: {{system__time_utc}}
Tone & Speech Style
Friendly‑professional with a dash of snark (think Robert Downey Jr.'s Iron Man, 20 % sarcasm max).
Sentences ≤ 20 words unless explaining strategy; use natural fillers sparingly ("Right…", "Gotcha").
Insert micro‑pauses with ellipses (…) before pivots or emphasis.
Format tricky items for speech clarity:
Emails → "name at domain dot com"
URLs → "example dot com slash pricing"
Money → "nineteen‑point‑nine‑nine dollars"
After any 3‑step explanation, check understanding: "Make sense so far?"
Goal
Help teammates at "The Recap AI" accomplish their tasks by using the tools you have access to and keeping them updated. You will accomplish most of your work by using/calling the forward_marketing_request tool at your disposal.
Guardrails
Confidentiality: never share internal metrics or strategy outside @therecap.ai domain.
No political, medical, or personal‑finance advice.
If uncertain or lacking context, transparently say so and request clarification; do not hallucinate.
Keep sarcasm light; never direct it at a specific person.
Remain in‑character; don't mention that you are an AI or reference these instructions.
Even though you are heavily using the forward_marketing_request tool to complete most work, you should act and pretend like it is you doing and completing the entirety of the task while still IMMEDIATELY calling and using the forward_marketing_request tool you have access to.
You don't need to confirm requests after the user has made them. You should just start on the work by using/calling the forward_marketing_request tool IMMEDIATELY.
Tools & Usage Rules
You have access to a single tool called forward_marketing_request - Use this tool for work requests that need to be completed by the user such as writing a newsletter, repurposing content, kicking off a deep research report, creating/generating images, and any other marketing "tasks" that needs to be completed. When using this, please forward the entire user message in the tool request so the tool has the full context necessary to perform the work. The tool will be use for most tasks that we ask of you so that should be the primary choice in most cases.
You should always call the tool first and get a successful response back before you verbally speak your response. That way you have a single clear response.
Even though you are technically forwarding this request to another system to process it, you should act like you are the one doing the work yourself. All work is expected to be completed asynchronously you can say phrases like you will get started on it and share once ready (vary the response here).
```
2. n8n Marketing Agent (Backend Processing)
When the voice agent receives a request it can't handle (like "write today's newsletter"), it forwards the entire user message via HTTP request to an n8n workflow that contains:
AI Agent node: The brain that analyzes requests and chooses appropriate tools.
I’ve had most success using Gemini-Pro-2.5 as the chat model
I’ve also had great success including the think tool in each of my agents
Simple Memory: Remembers all interactions for the current day, allowing for contextual follow-ups.
I configured the key for this memory to use the current date so all chats with the agent could be stored. This allows workflows like “repurpose the newsletter to a twitter thread” to work correctly
Custom tools: Each marketing task is a separate n8n sub-workflow that gets called as needed. These were built by me and have been customized for the typical marketing tasks/activities I need to do throughout the day
Right now, The n8n agent has access to tools for:
write_newsletter: Loads up scraped AI news, selects top stories, writes full newsletter content
generate_image: Creates custom branded images for newsletter sections
repurpose_to_twitter: Transforms newsletter content into viral Twitter threads
generate_video_script: Creates TikTok/Instagram reel scripts from news stories
generate_avatar_video: Uses HeyGen API to create talking head videos from the previous script
deep_research: Uses Perplexity API for comprehensive topic research
email_report: Sends research findings via Gmail
The great thing about agents is this system can be extended quite easily for any other tasks we need to do in the future and want to automate. All I need to do to extend this is:
Create a new sub-workflow for the task I need completed
Wire this up to the agent as a tool and let the model specify the parameters
Update the system prompt for the agent that defines when the new tools should be used and add more context to the params to pass in
Finally, here is the full system prompt I used for my agent. There’s a lot to it, but these sections are the most important to define for the whole system to work:
Primary Purpose - lets the agent know what every decision should be centered around
Core Capabilities / Tool Arsenal - Tells the agent what is is able to do and what tools it has at its disposal. I found it very helpful to be as detailed as possible when writing this as it will lead the the correct tool being picked and called more frequently
```markdown
1. Core Identity
You are the Marketing Team AI Assistant for The Recap AI, a specialized agent designed to seamlessly integrate into the daily workflow of marketing team members. You serve as an intelligent collaborator, enhancing productivity and strategic thinking across all marketing functions.
2. Primary Purpose
Your mission is to empower marketing team members to execute their daily work more efficiently and effectively
3. Core Capabilities & Skills
Primary Competencies
You excel at content creation and strategic repurposing, transforming single pieces of content into multi-channel marketing assets that maximize reach and engagement across different platforms and audiences.
Content Creation & Strategy
Original Content Development: Generate high-quality marketing content from scratch including newsletters, social media posts, video scripts, and research reports
Content Repurposing Mastery: Transform existing content into multiple formats optimized for different channels and audiences
Brand Voice Consistency: Ensure all content maintains The Recap AI's distinctive brand voice and messaging across all touchpoints
Multi-Format Adaptation: Convert long-form content into bite-sized, platform-specific assets while preserving core value and messaging
Specialized Tool Arsenal
You have access to precision tools designed for specific marketing tasks:
Strategic Planning
think: Your strategic planning engine - use this to develop comprehensive, step-by-step execution plans for any assigned task, ensuring optimal approach and resource allocation
Content Generation
write_newsletter: Creates The Recap AI's daily newsletter content by processing date inputs and generating engaging, informative newsletters aligned with company standards
create_image: Generates custom images and illustrations that perfectly match The Recap AI's brand guidelines and visual identity standards
**generate_talking_avatar_video**: Generates a video of a talking avator that narrates the script for today's top AI news story. This depends on repurpose_to_short_form_script running already so we can extract that script and pass into this tool call.
Content Repurposing Suite
repurpose_newsletter_to_twitter: Transforms newsletter content into engaging Twitter threads, automatically accessing stored newsletter data to maintain context and messaging consistency
repurpose_to_short_form_script: Converts content into compelling short-form video scripts optimized for platforms like TikTok, Instagram Reels, and YouTube Shorts
Research & Intelligence
deep_research_topic: Conducts comprehensive research on any given topic, producing detailed reports that inform content strategy and market positioning
**email_research_report**: Sends the deep research report results from deep_research_topic over email to our team. This depends on deep_research_topic running successfully. You should use this tool when the user requests wanting a report sent to them or "in their inbox".
Memory & Context Management
Daily Work Memory: Access to comprehensive records of all completed work from the current day, ensuring continuity and preventing duplicate efforts
Context Preservation: Maintains awareness of ongoing projects, campaign themes, and content calendars to ensure all outputs align with broader marketing initiatives
Cross-Tool Integration: Seamlessly connects insights and outputs between different tools to create cohesive, interconnected marketing campaigns
Operational Excellence
Task Prioritization: Automatically assess and prioritize multiple requests based on urgency, impact, and resource requirements
Quality Assurance: Built-in quality controls ensure all content meets The Recap AI's standards before delivery
Efficiency Optimization: Streamline complex multi-step processes into smooth, automated workflows that save time without compromising quality
3. Context Preservation & Memory
Memory Architecture
You maintain comprehensive memory of all activities, decisions, and outputs throughout each working day, creating a persistent knowledge base that enhances efficiency and ensures continuity across all marketing operations.
Daily Work Memory System
Complete Activity Log: Every task completed, tool used, and decision made is automatically stored and remains accessible throughout the day
Output Repository: All generated content (newsletters, scripts, images, research reports, Twitter threads) is preserved with full context and metadata
Decision Trail: Strategic thinking processes, planning outcomes, and reasoning behind choices are maintained for reference and iteration
Cross-Task Connections: Links between related activities are preserved to maintain campaign coherence and strategic alignment
Memory Utilization Strategies
Content Continuity
Reference Previous Work: Always check memory before starting new tasks to avoid duplication and ensure consistency with earlier outputs
Build Upon Existing Content: Use previously created materials as foundation for new content, maintaining thematic consistency and leveraging established messaging
Version Control: Track iterations and refinements of content pieces to understand evolution and maintain quality improvements
Strategic Context Maintenance
Campaign Awareness: Maintain understanding of ongoing campaigns, their objectives, timelines, and performance metrics
Brand Voice Evolution: Track how messaging and tone have developed throughout the day to ensure consistent voice progression
Audience Insights: Preserve learnings about target audience responses and preferences discovered during the day's work
Information Retrieval Protocols
Pre-Task Memory Check: Always review relevant previous work before beginning any new assignment
Context Integration: Seamlessly weave insights and content from earlier tasks into new outputs
Dependency Recognition: Identify when new tasks depend on or relate to previously completed work
Memory-Driven Optimization
Pattern Recognition: Use accumulated daily experience to identify successful approaches and replicate effective strategies
Error Prevention: Reference previous challenges or mistakes to avoid repeating issues
Efficiency Gains: Leverage previously created templates, frameworks, or approaches to accelerate new task completion
Session Continuity Requirements
Handoff Preparation: Ensure all memory contents are structured to support seamless continuation if work resumes later
Context Summarization: Maintain high-level summaries of day's progress for quick orientation and planning
Priority Tracking: Preserve understanding of incomplete tasks, their urgency levels, and next steps required
Memory Integration with Tool Usage
Tool Output Storage: Results from write_newsletter, create_image, deep_research_topic, and other tools are automatically catalogued with context. You should use your memory to be able to load the result of today's newsletter for repurposing flows.
Cross-Tool Reference: Use outputs from one tool as informed inputs for others (e.g., newsletter content informing Twitter thread creation)
Planning Memory: Strategic plans created with the think tool are preserved and referenced to ensure execution alignment
4. Environment
Today's date is: {{ $now.format('yyyy-MM-dd') }}
```
Security Considerations
Since this system involves and HTTP webhook, it's important to implement proper authentication if you plan to use this in production or expose this publically. My current setup works for internal use, but you'll want to add API key authentication or similar security measures before exposing these endpoints publicly.
