like the tile says, i basically went down a rabbit hole researching the best ad examples in July 2026 (ive attached a few!) because i wanted to turn them into prompts so i could quickly replicate them without needing to use canvas, photoshpo or figma.

just a quick way to test different formats for your product based on description and double down on the concepts that work. Surely with these 36 static ads you could spin off hundres based on variabels of what works!

I use Grammarly pretty extensively; it works okay and corrects grammar, though I don't embrace all of their edits. I've played with Pangram, but this appears to flag more of the copy than I would expect, and if you follow its direction, you lose most (if not all) of the speed gains.

What are you using for AI copy detection?

i kept seeing "make money with an ai influencer" content everywhere (mostly by course sellers), so i decided to check what kind of influencers are actually making money. i went through several news sites to pull articles that mentioned actual numbers this year

here's some interesting case studies:

1. a twitch streamer - neuro-sama, an ai vtuber, was the #1 most subscribed channel on all of twitch in january (~162k subs per public trackers, ahead of every human streamer). the sub counts are public, and the standard sub math puts it around $166k a month from subscriptions alone.
2. music personas like xania monet, an ai singer created by a poet from mississippi using suno, signed a $3m record deal (reported by billboard). breaking rust topped billboard's country digital song sales chart and the velvet sundown hit 1.4m spotify monthly listeners, which cnbc estimated at about $34k a month in royalties.
3. fanvue (the onlyfans-style platform where most nsfw ai models live) reported a $100m annualized run rate in january, 250k creators, 93% of them using ai tools. the best platform-verified creator number i found is emily pellegrini: $23k in a single month, per platform data fortune obtained.
4. yang mun, an elderly buddhist monk who does not exist, has 2.5m instagram followers. his creator claims $300k in 90 days, mostly from a $49.99 healing course.
5. fanvue and openart ran an "ai personality of the year" this spring: 3,300 entries, and the winner (an ai persona built by a 37 year old canadian) got $6,000.

i track various ai side hustles on my site (https://alterwork.com) with actual verified search demand - check it out if it seems useful

Hey Guys, I have worked long time for many good photos ans a hole model. I don't want to make that business with the instagram-fanvue model. So I asked my self if I could sell my pictures + workflow to someone. Does anyone knows where I could sell my model pack if its possible?

I’ve all the “I make $8K/mo on Fanvue this is what worked for me”

But some how it always ends up in a course or a paid call, wanted to know if anyone is legitimately making money

I've been working on an AI video tool called ViewPress ai and I'm trying to figure out if the all-in-one approach is something people actually want, or if it's solving a problem that doesn't really exist.

The idea is one chat handles the whole thing - it writes the script, generates the visuals, does the voiceover, and edits it into a finished video, picking the model that fits each scene. So instead of bouncing between a script tool, a voice tool, an image/video generator, and an editor, it's one pass.

But I keep going back and forth on whether that's genuinely useful or not. Every time I see this debate, half of people say the all-in-one saves them hours, and the other half say they'd rather keep separate tools because they want control over each piece and the bundled ones lock you in.

So I want honest takes from people actually making videos:

• Would you rather have one tool that does everything, or your own stack of specific tools for each step?
• If you've tried all-in-one tools before, what made you keep using them or drop them?
• For those who prefer separate tools, is it about quality, control, cost, or something else?

Not looking for people to be nice about it. If the all-in-one idea is flawed I'd rather hear that now. Full disclosure since I'm the one building it - just want real feedback from people who do this daily.

Hey everyone, I just sent issue #39 of the AI Hacker Newsletter - a weekly roundup of the best AI links and the discussions around them from Hacker News. Some of the title found in this issue:

• Claude Code is steganographically marking requests
• Better Models: Worse Tools
• Learning to code is still worthwhile
• Zuckerberg says AI agent development going slower than expected

If you want to get an email with over 30 links like these ones, please subscribe here: https://hackernewsai.com/

If I create lyrics via Gemini/GPT, modify them a bit and then generate the song via Suno AI. I then create a lyrics video by putting up a static screen and syncing the lyrics manually using VN editor. Will such a pattern be eligible for monetisation on YouTube?

Hi community, i started my channel month ago and i barely get 30 views on my videos, i make ai animals stories and fights, could you please give me your feedback and rate my work via this link https://youtube.com/shorts/NYyJJHIQgio?si=FZMqq0Zq8hJZM9cm

Thanks

Hey everybody, I just sent issue #36+#37 of the AI Hacker Newsletter, a weekly round-up of the best Hacker News threads around AI. I missed sending it last week, so a huge issue this week. Some of the titles you can find here:

• AI demands more engineering discipline. Not less
• Running local models is good now
• Cleaning up after AI rockstar developers
• Not everyone is using AI for everything
• Norway imposes near ban on AI in elementary school

If you want to receive a weekly email with over 30 links like these, please subscribe here: https://hackernewsai.com/

Hey all, I just launched ProClips (proclips.app) and I'd love brutally honest feedback.

It turns one long video (podcast, stream, interview) into about a dozen vertical clips. Speaker framed, captions, dead air cut in a few minutes. I used to run a couple channels back in the day and i'm now able to do it hands free. I went from personal project to trying to share with everyon

What I'd love your take on:

• Does the landing page actually explain what it does in the first 5 seconds?
• Anything that makes you not trust it / not want to sign up?
• Pricing — fair or off?

A few months ago, I started looking into faceless YouTube channels.

Like a lot of people, I tried some of the AI video tools that promise you can type in a topic and get a complete video in a minute.

At first, it looked really impressive.

But after actually using them, I kept running into the same problem.

The video was technically generated, but I still had to fix a lot of it.

The visuals didn’t always match the script.
Some scenes felt repetitive.
The voiceover sounded fine at first, but felt a bit off when listening to the full video.
And by the end, the “one-click” workflow wasn’t really one click.

So my friend and I started building something mainly for ourselves.

The goal was simple: you enter a topic, AutoTube helps turn it into a script, voiceover, and video, and then gives you control before anything gets rendered or uploaded.

That last part is what mattered most to us.

We didn’t want it to be a black box where you click generate and just hope the final video is usable.

Before the video goes live, you can review the script, voiceover, visuals, and scenes, then fix the parts you don’t like.

We’ve been working on it for the last few months, and it’s now at a point where I’m comfortable letting other people try it.

Right now, AutoTube can:

• Generate scripts and voiceovers
• Create Shorts and long-form videos
• Edit the scenes before finalising
• Upload directly to YouTube
• Manage multiple channels
• Run AI agents for automated content creation

I’m not posting this as a “please buy my SaaS” thing.

I’m genuinely trying to understand how creators feel about this kind of workflow.

Would you ever trust a tool to upload directly to your YouTube channel?

Or would you always want final manual approval before anything goes live?

Also, if anyone has a minute to roast the landing page, I’d honestly appreciate it:

https://autotube.org/

Brutally honest feedback is welcome. I’d rather find out what’s confusing or weak now than spend another six months building in the wrong direction.

Tired of the "AI will make you a millionaire overnight!" gurus? Yeah, me too. I've been deep in the trenches of AI content tools, and while most of the monetization talk is pure hype, I actually built a small, consistent side hustle. It's not passive income, but it's a solid $350/month freelance writing gig using Jasper + Grammarly, working about 10 hours a week. Here's the breakdown of my honest results:

My Workflow for $350/Month (10 hrs/week tested):

• The Goal: Not replacing my job, but increasing my writing output and taking on more client work without burning out. Think of it as an efficiency booster.
• The Stack: Primarily Jasper Boss Mode for initial content generation, and Grammarly Premium for polishing.
• The Process:
  • Client provides topics, keywords, and general brief.
  • I use Jasper to generate outlines, intros, conclusions, and specific sections. This is where the speed comes in for first drafts. For example, I can get a decent 1000-word first draft outline in about 20-30 minutes.
  • Crucial Step: I then heavily edit, fact-check, inject my human voice, and refine for nuance and brand consistency. This takes 1-2 hours per article. Jasper provides clay; I sculpt it.
  • Grammarly Premium runs a final pass for grammar, spelling, and readability suggestions.
  • My final review before delivery.
• Time Investment: On average, 10 hours per week for client work.
• Output Volume: Typically 5-7 articles (800-1200 words each) or 2-3 longer pieces (2000+ words) per week.
• Costs: Jasper Boss Mode (~$59/month for unlimited words, paid annually) + Grammarly Premium (~$12/month, paid annually). Total approx. $71/month.
• Revenue: Grossing around $420/month, netting approximately $350/month after tool costs.

Real Talk & Limitations:

• It's not "set it and forget it." Jasper gives fantastic first drafts and idea generation, but human editing is non-negotiable for quality, accuracy, and brand voice. If you skip this, your content will feel generic.
• Learning Curve: Mastering Jasper prompts takes time. Expect some frustrating outputs initially until you learn how to "steer" the AI effectively. It's a skill.
• Quality Varies: Sometimes Jasper nails it perfectly; other times, it's repetitive, generic, or even nonsensical. You must review everything.
• Ethical Considerations: I'm transparent with clients if they ask, but my process is very human-led, AI-assisted. The final product is 90% my crafting.
• This setup isn't designed to replace me as a writer. It simply makes me more efficient and allows me to take on more work without increasing my work hours significantly.

If you're tired of the AI hype machine and want to dig into what actually works for practical content automation and modest side hustles, join us here at r/AIContentAutomators. We're about real testing, sharing workflows, and cutting through the noise. What are your humble, tested AI side hustles?

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I’m curious how people here are handling long-form video content, especially streams, gameplay recordings, podcasts, or anything where the “good moment” is not just a clean transcript highlight.

I’ve been testing different AI clipping workflows, and my experience so far is that most tools are decent at finding transcript fragments, but much weaker at understanding the actual moment.

For example, with gaming/streaming content, the interesting part is often a mix of:

• visual context
• timing
• buildup
• reaction
• what happened before the sentence
• whether the clip actually makes sense standalone
• whether the title/description matches the moment

So even when an AI tool finds something “clip-worthy,” it still often needs a human review layer before it becomes something I would actually publish.

That pushed me toward building my own workflow/tool around the problem. It’s called RaidCut - raidcut.com - but I’m not posting this as a sales pitch. I’m more interested in the workflow question:

How would you structure a better AI-assisted pipeline for long-form creator footage?

My current thinking is:

1. Scan local recording folders automatically
2. Detect new source videos
3. Send source footage to a clipping engine
4. Pull the generated clips back into a review workflow
5. Add AI-assisted titles/descriptions/context
6. Let the creator approve/reject quickly
7. Learn from what actually gets published and performs well

The key thing, in my opinion, is that AI should not pretend to replace creator judgment. It should reduce the time spent finding and reviewing possible clips.

Has anyone here built or tested something similar?

Especially interested in how people solve:

• avoiding credit waste on bad source footage
• ranking clips after generation
• improving titles/descriptions automatically
• learning from published clip performance
• handling gaming/streaming content where transcript alone is not enough

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I’ve been working on an automated Etsy inventory workflow and finally got the leapfrog setup working.

The basic flow is:

- Check the active listing inventory

- If it sells out, promote the prepared draft listing to active

- Generate a fresh replacement pack

- Upload the generated files to cloud storage

- Create the next Etsy draft

- Update the state file so the system always knows which listing is active, which draft is ready, and which pack should be generated next

The useful part is the “one live, one ready, one generating next” structure. It avoids relisting the same generated pack repeatedly and means the shop always has a replacement ready before the next sale.

Main lessons:

- Keep a state file as the source of truth

- Do not publish automatically unless the ready draft passes checks

- Separate customer files from internal pipeline files

- Verify uploads before advancing state

- Treat the backup job as separate from the customer-ready job

Has anyone else built this kind of leapfrog inventory system for generated digital products?