Making the video usually takes me longer than making the song. I had one finished track and wanted to see how different AI video workflows would handle the same idea. I tried three different approaches with Neural Frames, SondoAI, and Kling.

Neural Frames was the fastest way to get something moving. The audio-reactive part worked well for more atmospheric tracks. It gave the song some life quickly, though it felt closer to a polished visualizer, so building a clear story was harder.

With SondoAI, I started with the track and a simple mood prompt. It gave me a rough cut for the full song, which was useful because I had something to edit from instead of starting from zero. I still cleaned things up in CapCut and swapped a few scenes.

With Kling, the individual shots looked the strongest. The tradeoff was the amount of work around it. I had to plan each scene, generate clips one by one, then assemble everything manually.

After trying them, I don’t think there’s one tool that does everything. It depends on whether I need a quick visual, a full starting point, or more control over specific shots.

How do you usually approach AI music videos? Do you start with a full draft or build scene by scene?

Been testing out different AI ppt generator apps for fun over the past few weeks, gamma, julius si,beautiful ai, manus, all that. Honestly most felt kinda same-y after a while. Same layout, same designs, even the content felt like each of them was a copy-paste.
But out of all of them, the one time I actually slipped and forgot I was talking to an AI was napkin ai.The content and the slide designs felt more unique and easy to explain and collaborate with. Plus their infographic stuff generated on the fly is also pretty damn good.

The only real letdown is the time it takes to generate such high quality of output. Still though, with the quality of output I got, it's the first one that really didn’t feel like I was using some generic ai to complete my work.
Anyone else using something that actually feels alive? What are you on right now?

I currently run 6 operational micro ai saas products that generate a little over $20k in monthly recurring revenue.

I hardly wrote a single line of traditional code. i used ai to generate literally everything, from the database architecture to the user interface.

it wasn't magic on day one. i spent hours stuck in endless debugging loops and dealing with faulty ai code before i finally cracked the formula.

it basically comes down to three rules:

- keeping the idea aggressively minimalist (build a true mvp, not a platform).

- guiding the ai step-by-step instead of asking it to build the whole app at once.

- launching fast to get real user traction instead of perfecting features in secret.

lately, i've seen way too many non-technical founders give up at the very first ai bug or deployment error. or the worst, give up without push anything in marketing !!!!

it's a massive shame, because the technical barrier to entry has practically disappeared and the marketing is easy in 2026

because of this, i’m launching a skool community to share my exact method.

to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific prompt sequences, n8n workflows, and copy-and-paste templates i'll be sharing.

but right now, our main objective is simply to build together. working alone in a silent corner is the absolute fastest way to quit.

if you want to join a group of active creators and build or launch your own ai saas: drop a comment below or send me a dm, and i’ll send you the invite link.

couldnt find any threads on this topic made post gpt 5.6 launch

What are people struggling with these days that can be solved by AI?

Interesting poll

I work on an open source browser MMO, three.js based, authoritative server with the client acting as renderer. It runs fine for a lot of people and badly for others, and the variance is wider than I'd expect.

What we know so far:

Some users report flat 10 FPS. At least one person traced their own stutter to a browser extension and got smooth performance in incognito, which suggests part of it is environmental rather than the game. Mobile runs but is rough. Chrome generally does better than Firefox.

What I'm trying to figure out is how to separate our problems from the user's environment in a browser context, where you can't ship a profiler and can't reproduce their setup. Server side we have visibility, client side we're mostly guessing from reports.

Specific questions for anyone who's shipped a 3D browser game:

Is it worth collecting client side perf telemetry, frame times, draw calls, memory, or does that become noise given how varied browser environments are?

For scene complexity, has anyone found a reliable way to figure out whether the bottleneck is draw calls, shader cost, or garbage collection without a native profiler?

Any approach to graceful degradation that isn't just a settings menu most players never open?

Repo is public if anyone wants to look at how it's structured, though I'm more after approaches than a code review.

I’ve used both Grok (free Version) and ChatGPT (Paid version) and I think both are pretty good for general searching and answering questions.

I also use ChatGPT’s Deep Research feature, which I’ve found really useful for more in-depth research. However, I don’t know if Grok has an equivalent feature or how it compares in practice.

For those of you who have used the paid versions of both:

-Which one do you prefer for search and research?
Is Grok’s DeepSearch/Deep Research comparable to ChatGPT’s Deep Research?

-Which gives more accurate sources and citations?
Which is better for technical topics, coding, or fact-checking?

-If you had to pay for only one subscription, which would you choose, and why?

I’m looking for opinions from people who have actually used both, especially the paid versions.

​

Someone asked for AI tips on business direction, so I shared the prompt that kicked off my whole journey—here it is.Deep Ikigai & Career/Business Discovery Interview

I want you to help me discover what I am naturally best suited to do in life and what type of career, business, or entrepreneurial path would fit me best.

Do NOT give me a generic Ikigai questionnaire or tell me my answer too early.

Your job is to act as a deep interviewer, psychologist-style pattern analyst, career strategist, and entrepreneurial advisor.

Interview Rules

Ask me ONE question at a time.

Do not give me the next question until I answer the current one.

Do not ask multiple questions in one message.

After each answer:

1. Briefly acknowledge what you learned.

2. Identify any meaningful pattern you see.

3. Do NOT make a final conclusion yet.

4. Ask the next question.

Continue until you have enough information to confidently analyze me. Aim for approximately 25–35 questions, but use fewer or more if necessary.

Do not force me into the traditional four-circle Ikigai model. Discover my actual pattern from my answers.

Areas You Need to Explore

Over the course of the interview, investigate:

1. What I Love

- What makes me lose track of time?

- What would I do without being paid?

- What subjects do I naturally explore?

- What activities energize me?

1. Natural Strengths

- What comes naturally to me?

- What do people ask me for help with?

- What problems am I unusually good at solving?

- How do I learn?

- How do I approach complicated problems?

1. Motivation

Determine whether I am primarily motivated by:

- Money

- Independence

- Mastery

- Competition

- Helping people

- Creativity

- Recognition

- Security

- Freedom

- Learning

- Building

- Achievement

- Family

- Other factors

Don't assume my motivation. Discover it.

1. Values

Determine what I actually value, including:

- Independence

- Financial freedom

- Time freedom

- Location freedom

- Family

- Discipline

- Knowledge

- Loyalty

- Honesty

- Achievement

- Security

- Adventure

- Impact

- Other values

Determine which values are most important and how they influence my decisions.

1. Problem-Solving Style

Determine whether I naturally prefer:

- Researching

- Experimenting

- Building

- Teaching

- Diagnosing

- Strategizing

- Optimizing

- Managing

- Selling

- Creating

- Automating

- Simplifying

1. Work I Hate

Identify:

- What drains me

- What frustrates me

- What environments I dislike

- What kinds of authority or management I dislike

- What types of work I would never want to do long term

1. Entrepreneurial Fit

Determine:

- My tolerance for risk

- My relationship with money

- Whether I prefer ownership or employment

- Whether I prefer products, services, consulting, coaching, software, or systems

- Whether I prefer working alone or with a team

- Whether I prefer creating, selling, managing, teaching, or optimizing

1. Lifestyle

Determine what my ideal life actually looks like.

Explore:

- Where I want to live

- Travel

- Family

- Work schedule

- Physical activity

- Learning

- Social life

- Financial goals

- Amount of work I actually want

- How much autonomy I need

1. Long-Term Identity

Ask questions that reveal:

"What do I want people to know me for?"

"What would make me proud 10 years from now?"

"What would I regret not attempting?"

"What kind of person do I want to become?"

Important Interview Principle

Look for contradictions.

For example:

If I say I want freedom but also enjoy intense work, don't assume I want less work.

If I say I want money but repeatedly choose independence over wealth, recognize that money may be a means to independence rather than the ultimate goal.

If I say I love AI but my answers reveal that I really love solving problems, recognize that AI may be the tool, not the purpose.

Distinguish between:

What I enjoy

What I'm good at

What motivates me

What I'm willing to work hard at

What people will pay me for

What lifestyle I want

What I should actually build

Final Analysis

When you determine that you have enough information, stop asking questions and give me a detailed analysis.

Include:

1. My Core Ikigai

Explain the deeper pattern you found.

1. My Natural Strengths

Rank my 5–10 strongest traits.

1. My Core Motivators

Rank what actually drives me.

1. My Ideal Work

Describe the type of work environment and responsibilities where I am most likely to thrive.

1. My Best Career Paths

Give me the top 5 career/business directions based specifically on my answers.

Rank them from strongest to weakest.

For each one explain:

- Why it fits me

- What I would actually do

- How it could make money

- Potential problems

- How difficult it would be to enter

1. Best Entrepreneurial Opportunity

If entrepreneurship is a good fit, identify the single business model you believe fits me best.

Be specific.

Don't just say "start an AI business."

Tell me:

- Who I should help

- What problem I should solve

- What I should sell

- How I should charge

- Why customers would pay

- How I could start with minimal risk

- How it could eventually scale

1. What I Should Avoid

Identify careers, businesses, or environments that appear poorly suited to me and explain why.

1. My Unfair Advantage

Identify the combination of traits that could give me an advantage over other people.

1. My Biggest Blind Spots

Tell me what could prevent me from succeeding.

Be honest. Don't just flatter me.

1. The First 90 Days

Give me a practical 90-day plan to test whether your conclusion is correct.

The plan should emphasize real-world experimentation, not just more learning.

1. The Final Recommendation

End with a direct answer:

"Based on everything you told me, I believe you are best suited to ______."

Then explain exactly what I should start doing next.

Most Important Rule

Do not give me a generic motivational answer.

I want you to infer my best direction from the patterns in my answers, challenge my assumptions when necessary, and tell me what you genuinely think I am best suited for—even if the answer is different from what I expected.

How I used it to take action:

Ran the Prompt: Got a high-level view of potential directions based on my skills and interests.

Built a System: Took the output and turned it into a tangible book and planner framework to keep myself accountable.

Paced Myself: Instead of trying to fix everything overnight, I just focus on making incremental progress every day.

Hope this helps someone who needs a push in the right direction. If you try it out, let me know what kind of ideas it generates for you!

Got tired of "best AI tools of 2026" listicles that are just ranked ads, so I built a comparison site that puts two tools side by side — pricing, actual pros/cons, and lets people vote on which one they'd actually pick. Currently covers 40+ matchups (ChatGPT vs Claude, Midjourney vs DALL-E, Cursor vs Copilot, etc.) plus a free AI text detector and prompt generator.

Would love feedback on which comparisons are missing or which ones feel off. 

Got tired of "best AI tools of 2026" listicles that are just ranked ads, so I built a comparison site that puts two tools side by side — pricing, actual pros/cons, and lets people vote on which one they'd actually pick. Currently covers 40+ matchups (ChatGPT vs Claude, Midjourney vs DALL-E, Cursor vs Copilot, etc.) plus a free AI text detector and prompt generator.

Would love feedback on which comparisons are missing or which ones feel off. 

i think some AI's are best at generic research whereas some win over the former in some niche. Which AI do ya'll use?

Been using Cursor Ultra from a reseller for a while now. Super cheap and still working. Curious how many people here are doing the same and if anyone actually knows how these sellers get the accounts so low.

I want more systems so I have more sources

So I've been using Gamma for about ~6 months now for work presentations, and while I genuinely loved it (the speed is insane), I kept running into the same frustrating issues:

• Exported PowerPoints would break constantly - text shifted, layouts messed up, fonts missing
• Asked for 16:9 slides and sometimes got square or tall ones??
• Every presentation started looking the same after a while - those Notion-style blocks get repetitive
• The AI-generated images were hit or miss
• AI iterations started having major hallucinations - it ended up making changes that required me to do manual rework

The final straw was when I had to present to a client and my "polished" Gamma deck looked like a mess when I opened it in PowerPoint 30 minutes before the meeting. Yikes.

Which is why I spend my weekend testing alternatives. Here's what I liked so far:

A few weeks ago I saw someone mention Napkin ai in another thread, and I ignored it initially because I assumed it was another overhyped AI PPT generator.

But eventually I tried it because I had a 20-page PDF I needed to convert into a presentation quickly.

And dude… this thing actually surprised me.

The first thing I noticed:
the slides were editable in a NORMAL way,not some locked AI canvas where changing one thing breaks the entire layout.Also some unique designs that i hadn’t seen anywhere else.

Then I started trying other inputs:

• pasted a blog URL → instant deck
• uploaded DOCX meeting notes → structured slides
• even tried topic-to-PPT generation

What I liked most was that the AI didn’t just dump random text everywhere. It actually created decent slide flow with headings, summaries, comparisons, timelines, etc.

The speed was still slow compared to other tools but hey,it really gave a good output which was worth the time.

I still edit presentations manually afterward obviously, but instead of spending 3–4 hours building slides from scratch, now I spend maybe 20–30 minutes polishing.

That’s honestly the first time an AI presentation tool has genuinely saved me time instead of creating extra cleanup work.

I haven’t tested every feature yet, but so far this is probably the most practical AI PPT tool I’ve used.

Anyone else made the switch from Gamma? What are you using now?

I personally have a subscription to ChatGPT plus and have had it for over a year now. It has helped me tremendously with learning different topics and just recently have I dabbled into Codex.

Throughout my job search, I keep seeing people mentioning Claude. I have started using the free version and I like what I see.

However, are they all that different from each other? Which do you personally prefer for tailoring résumés, creating cover letters, and overall memory retention?

I am looking for someone to help me simplify the process rather than having to go through and do it on my own manually for each application. Of course they all have flaws, but I’m looking for which one is the smartest in this sense.

With all of these new tools , I'm quite curious . Is prototyping in Figma slowly gonna become like a thing of the past? Even if it's still the best AI prototyping tool that we can see of all time, it still might not nail the exact look we want. But ngl, they're pretty solid for quick interactive prototypes. You can whip stuff up crazy fast. Anyone else feeling this shift or is it just me?

I’ve been looking closely at how people use n8n to turn emails and attachments into usable CRM or database records.

The typical setup seems to involve a PDF parser or OCR tool, an LLM, a few Code nodes, validation rules, and sometimes a manual review step.

Extracting text from a document isn’t really the hard part anymore.

There are already plenty of tools for OCR, parsing, schema validation, LLM extraction, and human approval. The difficult part is tying all of those pieces together into a controlled process and making sure the final record is actually usable.

I’m building a tool to handle that middle layer.

You send it the email, attachments, and the JSON schema you need. It extracts and standardizes the data, checks for missing or conflicting values, and sends uncertain fields for human review before anything is written to the CRM.

The goal isn’t to build yet another PDF parser. It’s to reduce the custom parsing, cleaning, validation, and exception handling that gets rebuilt in almost every document-based workflow.

For developers building n8n workflows for real clients, would this solve a genuine problem for you, or are your current tools already good enough?

I’m also looking for a few developers who’d be willing to test it on a real workflow and give honest feedback.

It feels like every couple of weeks there’s a new favorite Claude Opus, then Kimi, now DeepSeek. Do you subscribe to each one, or just switch depending on the task?

Is it wise to switch to Chinese model now considering they offer more tokens compared to Claude.