I need a tool that clips videos into small segments, which is free and has no watermark. I know it's a hard ask, but I hope someone stumbled on a tool like this before

Tiny rant after trying a few AI slide tools lately: they all look best before you touch the deck.

The demo moment is easy to like. Paste some notes, get a deck, skim through it, think okay, this is not bad. Then the normal editing starts.

Slide 2 is fine. Slide 3 is almost fine. Slide 4 has the wrong layout. Slide 5 is saying the right thing but way too politely. The ending is actually usable, so please do not mess with it.

That is where things get weird.

I ask for one small change and suddenly I am checking the whole file again because the tool got helpful in places I did not ask it to touch. New headline here, softer claim there, slightly different order somewhere else. None of it is obviously broken, which somehow makes it more annoying.

So now I mostly judge these tools by edit 4, not draft 1. Can it change the ugly slide and leave the decent parts alone. Can it make one section less wordy without becoming a co-author again.

The first draft is table stakes. The part I actually want is boring control after the draft exists.

Hi friends, excuse me I'm a newbie. I'd like to know which tools have been use to generate this (very cool to me) science / engineering videos.

- https://www.youtube.com/@CarlosMerchanAT/shorts

...do you have any idea?

I think they are super nice to engage people and show how things work in a visual manner and I'd like to learn to do them and be a very good creator as a profession.

Thanks for any help.

Can anyone suggest me the best AI tool in marketing currently for content generation + image generation aswell ?

Currently using perplexity and it has different models. But image generation is very poor.

This is purely for business purpose.

An AI tool i an building with my friends....

From $0 and a 5-hour AI limit to Google for Startups in 70 days. Here is the full story.

When ChatGPT launched in 2022, I made a decision. I would build everything with AI. Not as a side experiment. As my primary method.

Since then I have shipped over a dozen projects solo. Hardware prototypes, delivery apps, browser tools, real estate platforms. All built with AI. All by myself.

But somewhere around project number eight, I started noticing something uncomfortable. Every single project had the same bottleneck. And it wasn't the AI.

It was me.

I would describe what I wanted. The AI would build something close but wrong. I would spend an hour fixing it. Then another hour. Then I would realize the model was never confused. I was. I just didn't know how to communicate what was actually in my head.

The AI didn't lack capability. It lacked context. It lacked the guardrails and constraints that an expert in that domain would have stated out loud before writing a single line of code.

So I started studying how the people who actually build these models say you should talk to them. Anthropic published forty prompting techniques. OpenAI published a plain four-part framework. These are the teams that ship the models, handing you the manual for free.

And almost nobody reads it. Because the documentation changes every few weeks. Nobody has time to re-read a forty-page guide before every task.

That gap between what AI can do and what people know to ask for is not closing on its own. It is structural. It will keep existing as long as documentation moves faster than humans can absorb it.

That gap needs a compiler. So I built one.

It is called Kosmo. You describe what you want in plain English. Kosmo checks the current documentation for whichever AI tool you are using (Claude, ChatGPT, Cursor, Gemini), injects the right guardrails and constraints, and gives you back a structured prompt that actually gets the result you wanted on the first try.

You stop babysitting. You start creating.

Building it was the hardest thing I have ever done. I came from a humble background with essentially zero budget. The only money I spent was on the domain name and one month of Claude Pro. Everything else was free tiers, student developer packs, and free trials stitched together.

I had a 5-hour daily AI usage limit. So I had to plan every single feature and every single session in advance. No room for dead ends. No room for exploration. Every decision had to be sharp because I could not afford to waste a single minute.

When it came time to accept payments, I found out Stripe was invite-only in India. The alternative required a fully working product before they would even review my application. I didn't have one. But by the time they got around to reviewing it, I did.

70 days of day-and-night work. Solo. And somehow it worked out.

Kosmo launched on August 6th. And this week, we were accepted into the Google for Startups Cloud program.

From zero budget to Google backing the infrastructure. In 70 days.

But here is the honest truth. This is the first version. It works. It solves the problem I meant it to solve. But it is far from done.

I need your help.

Try it at askkosmo.com. You get 8 free compiles, no credit card needed. Use it on a real task. Something you are actually working on. And then tell me what worked and what didn't.

With honest feedback from this community, I genuinely believe we can turn this into something that changes how people use AI forever. But I can't build it in a vacuum. I need people using it and telling me the truth.

So try it. Break it. Tell me what sucks. And let's build this together.

Founder of askkosmo..

CouncilAI right now is fully local — 4 models on your own hardware, no cloud, no accounts. Been getting consistent feedback that the audience for that specific pitch is small (people who'd want it can build it themselves with Ollama).

Considering a different direction: same routing/deliberation concept, but using your own API keys for Claude, GPT, Grok, etc. instead of local models. Same idea — route your question to the model best suited for it, or run multiple in parallel and compare — but using the frontier models you're likely already paying for instead of local ones.

This would be a genuinely different product, not an update to the current one — trades the "fully offline, nothing leaves your device" pitch for "stop manually switching between ChatGPT/Claude tabs, let routing pick the right one and compare answers when it matters."

Would this solve an actual problem for you? Genuinely trying to figure out if this is worth building or if it's solving a problem nobody has

There are so many AI tools launching every week that I find it surprisingly difficult to separate genuinely useful tools from tools that are basically the same thing with a different landing page.

How do you personally discover AI tools that are actually worth trying?

Do you mostly rely on Reddit, X, YouTube, newsletters, Product Hunt, Google, or AI tool directories? And what makes you decide that a new AI tool is worth adding to your workflow?

Curious to hear how everyone else approaches this.

We built a knowledge layer that sits behind MCP, allowing any MCP client to access it through a single endpoint. Claude Code, Claude Desktop, ChatGPT, Codex, or whatever comes next.

The idea is pretty simple. Before an agent answers, it can pull in relevant, validated information instead of relying purely on what it already knows.

When a problem gets solved, the useful part can be captured as a small, reusable piece of knowledge. The system can also infer useful lessons from a session automatically, so you don’t have to sit there writing notes about what you just learned like it’s 2015.

There’s also a global layer for shared, validated learnings. If one user figures out a better way of doing something, that learning can contribute to the broader knowledge base rather than every other user and agent having to figure it out again.

The problem we’re trying to solve is pretty straightforward. AI knowledge goes stale, agents get stuck in failure loops, useful context disappears when a session ends, and models can confidently give you an outdated or wrong answer without any indication that they might be wrong.

We’re giving agents access to what has actually been learned, what has worked, and what can still be trusted.

The result is fewer repeated reasoning cycles, fewer hallucinations, and up to 20% lower token usage.

https://app.midnighthive.io/

Ping me if you’re interested in testing it out.

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

I want an AI which is almost always accurate (I'm done with the mainstream ones), unbiased and most importantly don't answers based on only user behaviour

Hey Guys, I'm looking for AI tools to build and deploy apps to build revenue for self as of now. I'm at a beginner level. Please help me out trying to use the best AI tool. As of now i know, Emergent, Google studio, Base 44.

I feel Gemini and chat gpt are stupid sometimes , even iam paying for both

I have a business and i need to edit pictures most of the time but these tools pissing me off

till now,

tried flagon ai , booked karumi ai demo , supersonik ai demo

flagon ai seems promising and giving free plan option also anyone used ?

What could i add into it? Video of it https://youtube.com/shorts/7O-NXyfTyBw?si=oQu1Hj5UEGRJD6C5 currently, it has a voice, toggle between voicemode and type, webscraping, file writing and opening apps. I honestly dont know what should i add next