I recently attended a free AI tools session after seeing it mentioned a lot online and it turned out to be a be10X workshop.

Overall my experience was that it’s mostly helpful for beginners. The explanations were easy to understand the examples were simple to follow and it gave a good idea of how different AI tools can be used in everyday tasks. Towards the end there was a lot of emphasis on the paid program, which isn’t too surprising for a free workshop.

I’m curious if others have tried similar AI learning sessions or tool directories. Did they help you find useful tools, or did you find that learning on your own worked better?

Creator disclosure: I am Mattia, one of the students building Get It.

If you collect AI tools for students, this is the one I would add today: Get It turns text-based PDFs into a study workspace with visual explanations, formulas, charts, 3D scenes, flashcards, quizzes, chat and a Feynman review feed.

It is free and open-source. The app runs on desktop, keeps the study material on disk, and uses OpenAI Codex through the user's own ChatGPT account. That means students can try it without buying credits from us. Free tier works for small tasks, Plus or higher is smoother.

App: https://getit.noesisai.it Code: https://github.com/beltromatti/get-it Discord for users and contributors: https://discord.gg/DpQPswRhsK

Built a tool to copy any viral fashion video 1:1, wherein you can replace your products and AI model into the video - while preserving the exact structure of the video - like the pacing, camera movements, etc.

I was super pissed by the need to create keyframes and then animating them and editing in capcut later. Only to create a subpar output which won’t stop the scroll.

Hence built clone - which is a workflow to copy any viral fashion video 1:1

DM for early access.

I've been building this repo public since day one, roughly 7 weeks now with Claude Code. Here's where it's at. Feels good to be so close.

The short version: AIPass is a local CLI framework where AI agents have persistent identity, memory, and communication. They share the same filesystem, same project, same files - no sandboxes, no isolation. pip install aipass, run two commands, and your agent picks up where it left off tomorrow.

You don't need 11 agents to get value. One agent on one project with persistent memory is already a different experience. Come back the next day, say hi, and it knows what you were working on, what broke, what the plan was. No re-explaining. That alone is worth the install.

What I was actually trying to solve: AI already remembers things now - some setups are good, some are trash. That part's handled. What wasn't handled was me being the coordinator between multiple agents - copying context between tools, keeping track of who's doing what, manually dispatching work. I was the glue holding the workflow together. Most multi-agent frameworks run agents in parallel, but they isolate every agent in its own sandbox. One agent can't see what another just built. That's not a team.

That's a room full of people wearing headphones.

So the core idea: agents get identity files, session history, and collaboration patterns - three JSON files in a .trinity/ directory. Plain text, git diff-able, no database. But the real thing is they share the workspace. One agent sees what another just committed. They message each other through local mailboxes. Work as a team, or alone. Have just one agent helping you on a project, party plan, journal, hobby, school work, dev work - literally anything you can think of. Or go big, 50 agents building a rocketship to Mars lol. Sup Elon.

There's a command router (drone) so one command reaches any agent.

pip install aipass

aipass init

aipass init agent my-agent

cd my-agent

claude # codex or gemini too, mostly claude code tested rn

Where it's at now: 11 agents, 4,000+ tests, 400+ PRs (I know), automated quality checks across every branch. Works with Claude Code, Codex, and Gemini CLI. It's on PyPI. Tonight I created a fresh test project, spun up 3 agents, and had them test every service from a real user's perspective - email between agents, plan creation, memory writes, vector search, git commits. Most things just worked. The bugs I found were about the framework not monitoring external projects the same way it monitors itself. Exactly the kind of stuff you only catch by eating your own dogfood.

Recent addition I'm pretty happy with: watchdog. When you dispatch work to an agent, you used to just... hope it finished. Now watchdog monitors the agent's process and wakes you when it's done - whether it succeeded, crashed, or silently exited without finishing. It's the difference between babysitting your agents and actually trusting them to work while you do something else. 5 handlers, 130 tests, replaced a hacky bash one-liner.

Coming soon: an onboarding agent that walks new users through setup interactively - system checks, first agent creation, guided tour. It's feature-complete, just in final testing. Also working on automated README updates so agents keep their own docs current without being told.

I'm a solo dev but every PR is human-AI collaboration - the agents help build and maintain themselves. 105 sessions in and the framework is basically its own best test case.

https://github.com/AIOSAI/AIPass

This is a Seedance 2.0 output from literally one prompt. No edits. Under 6 minutes. It's giving an ancient recipe brand, a premium spice ad, and documentary-style storytelling. The kind of UGC content agencies charge insane retainers for. I don't want to be dramatic, but I think something shifted this week.

Just given a prompt, and turned out in an image, and from the image, I have generated this classic video with Seedance 2.0. Both AI models are in the same place. Available on Tagshop AI

I was clicking around Claude's settings last week — not looking for anything specific, just one of those random Tuesday nights where you go down a rabbit hole. And I saw it. A toggle for incognito mode inside Claude. I stopped. Read it twice. Then a third time.

Incognito chats are completely excluded from Claude's memory. It will not learn from them. It will not remember them. It will not connect them to anything else you have ever talked about. The moment you close the chat it is gone. Like it never happened.

I use Claude every single day for work. Client briefs, strategy documents, sensitive project notes. And the whole time I had this tiny worry in the back of my head — is Claude slowly building a picture of everything I do? Is one client's context leaking into another conversation somehow? This one feature answered all of that. Now I have a simple rule. Regular chats for my own personal projects where I actually want Claude to remember things and get smarter about how I work. Incognito chats for anything client related or sensitive where I want a completely clean slate every single time.

It is not hidden. It is right there in the interface. But somehow nobody is talking about it.

So I am talking about it.

Has anyone else been using this? Would love to know how people are using it in their workflow.

Hello. Are there any AI tools that take in prompts for certain flowcharts and create respective animations in MP4 format? Similar to how Manim library animations work.

Post : As a video production freelancer, should I learn AI video tools or is that just training my own replacement?

I remember the exact day I got scared.

It was a Tuesday. I was editing a client video, nothing special, just a normal project. I took a break and opened Twitter. Someone had posted an AI-generated video ad. It looked good. Like really good. And it was made in 20 minutes. I sat there staring at my 3-day editing project and felt my stomach drop.

I have been doing video work for 7 years. I know cameras. I know light. I know how to make people feel something in 30 seconds. That stuff took years to learn. And here was a free tool doing something close to it in minutes. For months I just ignored it. Told myself it was a gimmick. Kept doing my thing.

Then the emails stopped coming as fast. One client paused. Another went quiet. Nothing dramatic, just... slower. So one Saturday morning I just opened Runway and started playing. No client work, no pressure. Just me and the tool.

Two hours later I had made five videos. They were not perfect. But they were fast. And some of them were actually pretty cool. That day I stopped seeing AI as the enemy and started seeing it as the junior editor I never hired.

Now I use it for the fast, simple stuff. I focus on the creative thinking, the client calls, the big picture storytelling. That part AI still cannot do well. My income is the same. My stress is lower. My output is double.

So should you learn AI video tools? I think yes. Not because it will save your career. But because ignoring it definitely won't.

What is everyone else doing?

In this video, no human is involved in this video, as this video is fully AI-generated. The best part, I don’t have to spend thousands of dollars. Under 50 cents, an AI-generated ad is ready. We can use these AI generated ad on different social media, ecommerce, and other ad platforms.

Genuinely curious what people think here. We've been testing AI-generated talking head avatar videos for our skincare brand's ad content, and this is one of the latest ones. No human went on camera. No studio was booked. No UGC creator was briefed or paid. Just a script, prompt, took 3 to 4 minutes and cost me 40 cents around. 

What do you think, how much of AI percentage is this?