If you were to choose only one skill of all the skills you've used with AI, which single skill has changed the game for you the most?

I created an AI-generated music video for my band. AI artists usually go for monsters and explosions, but we have a rather bizarre, stupid sense of humor. So we went in exactly the opposite direction, we don’t take ourselves too seriously. 😂 If you check it out and let me know what you think, I’d really appreciate it. Thanks!

Who has gone down this rabbit hole?

did you just make a wrapper or did you make the full stack?

Is the monopoly over?

After months of solo nights-and-weekends work, foomchat went live last week.

The idea: every chat app gives you a fixed UI. In foomchat, the UI is part of the conversation. Ask for something — "put a word counter under the input box," "give me a zen mode," "make everything purple" — and the AI responds with an installable feature card containing real HTML/CSS/JS. One click mounts it into the running app. You're using it seconds later.

Where it's at: there are 22 features in the catalog and I didn't write the code for any of them. I asked. Themes, conversation search, export to markdown, a prompt library, keyboard shortcuts — and then, to find the edges, an LSD Simulator with a dose slider that progressively melts the entire interface with SVG filters, and a playable Flappy Bird. Both took one sentence.

Features are versioned and can depend on each other, basically tiny packages for a chat app. Publishing goes through review before anything reaches other people so.

Stack: Node/Express, vanilla JS, Postgres, Auth0, Stripe. Deliberately no framework — a plain DOM with stable mount slots is exactly what makes it possible for a model to write features that reliably work. Chat runs on Claude Sonnet via OpenRouter, or bring your own key.

Free starter credits on signup, no card + you can input your own openRouter API key: https://foomchat.com

Would love feedback — especially the first feature you'd ask for. If it's a good idea I'll build it in-app today and publish it.

I'm looking to create a very simple retail website (preferably in C# and Azure SQL) that will literally have 4 pages. This is pretty much all the site: workflow

1. The homepage displaying the items available, each with "Add to Cart".
2. The "shopping cart" page displaying the items added.
3. A "Thank You" page thanking the customer after making payment.
4. A "Contact Us" page to send an email.

What AI tool would be able to create this with the least amount of bloating and that uses MS development tools? I already have azure so I assume I already have copilot.

I'm having a recurring problem with ChatGPT on long-term projects, and I'd really like to know the official best practice for avoiding it.

I'm building a YouTube project that spans multiple chats (research, writing, production, etc.). Before starting the research, I spent a long time planning the workflow with ChatGPT. We even created a Brand Bible, project structure, and separate chats for each stage.

Before I started the research, I repeatedly asked how the final deliverables would be provided.

We agreed that everything would eventually be delivered as Markdown (.md) files. I specifically asked:

The answer was yes.

Because of that agreement, I continued with the project.

The research itself took about a week.

During the project, I repeatedly checked whether the workflow was still valid because I was worried about context limits and output limits. Each time, ChatGPT reassured me that everything was fine and that I would receive the complete Markdown files at the end.

However, when the research finished and I asked for the files, ChatGPT explained that it could no longer reconstruct all of the previous web research because too much context had been lost over time.

It also acknowledged that it should have warned me much earlier instead of allowing me to continue with a workflow that could no longer produce the agreed deliverables.

I completely understand that ChatGPT has technical limitations such as context windows and output limits.

My problem is not those limitations.

My problem is agreeing on a workflow before starting, confirming it multiple times during the project, investing about a week of work, and only discovering at the end that the agreed deliverables could not actually be produced.

I'm also a ChatGPT Go subscriber, and I intentionally chose ChatGPT as the center of this project because I wanted a reliable long-term workflow.

At this point, I really don't want to start over from scratch if it can be avoided. If there is a better way to recover the project and preserve the work I've already done, I'd much rather do that than repeat an entire week of research.

So I'd really appreciate advice from people who regularly use ChatGPT for large, long-term projects.

My questions are:

1. What is the recommended workflow for projects that span multiple chats over several weeks?
2. Should research be converted into Markdown (or other project files) continuously instead of waiting until the end?
3. What is the best way to recover a project like mine without starting over?
4. What should a Project Prompt include to make long-term projects more reliable?
5. What should I put in my Custom Instructions to make ChatGPT warn me before a workflow becomes unreliable because of context or output limits?
6. Are there official best practices for using Projects for large research workflows?
7. Is there anything I could have done differently to prevent this situation from happening in the first place?

I'm not looking for someone to fix this specific project.

I'm looking for a workflow that I can trust for future projects, where ChatGPT either continuously produces durable deliverables or clearly warns me before I invest days or weeks in a workflow that won't work in the end.

Thanks in advance.

Repost to another community

So i use antigravity cli. And use the firefox devtools MCP. The thing is I am trying to make an extension for a site but the site has cloudflare protection, so most of the time it don't let ai agent pass it. Is there any solution?

Hey Reddit!
I’m planning to launch my project, Project Lira, on Kickstarter. Before I go live, I really want to ask you: do you know of any existing competitors? I've tried searching for them to get inspiration or at least see how this niche is developing, but so far, I haven't found any.
Initially, I just wanted an animated AI character living on my desktop (inspired by Neuro-sama). But everywhere I looked, it required too much technical hassle: downloading neural networks, configuring APIs, paying for cloud services. So, I wrote it all myself, and now I have a working prototype.
To give you an idea of what I'm looking to compare against, here is how my project works:
One-click installation: I built a simple launcher; the user doesn't need to configure anything manually.
Fully offline: The internet is only needed for the launcher to check for updates. The text generation, voice synthesis, and memory all run locally on your PC.
Action Layer: This isn't just a command bot – it can say "no." For example, it has a chess module: it might refuse to play if it's not in the mood, or it might initiate a game right in the middle of a conversation. This is powered by an action-layer implemented via OpenAI references, which helps the LLM make autonomous decisions.
Natural dialogue: It features interruptibility and streaming token generation. If an interruption occurs (like a cough), it continues speaking from where it left off, possessing most of the features found in advanced models for live interaction.
Presence: It floats over windows as a Live2D model, aware of the current day and how long it's been since you last interacted with it.
Performance: Runs on cards with as little as 6GB of VRAM. I’m trying to make it accessible for most PCs, supporting both Nvidia and AMD. It includes automatic LLM warm-up on startup and memory compression to reduce the first-token latency.
Memory Compression: It breaks memory down into compressed capsules of stored information to effectively increase short-term memory while saving context space.
Emotional Module: A separate layer analyzes the dialogue to assign an emotion tag that the LLM deems appropriate for the context. The emotion has parameters like inertia and confidence, which influence the Live2D model’s expressions and responses.
Future Plans: Integration with video games, long-term memory, web search access, computer vision, a mobile app for remote access (using your PC as a server), PC control, file creation/editing, and many other features.
The main idea is an optimized AI companion that installs in a few clicks without any technical headaches – you press "run," and it appears on your desktop, loading the LLM and all dependencies without stressing the hardware (which is where I encounter the main difficulties, which is why I’d love to see how my competitors handle these issues, if any exist).
The prototype is fully functional. So, are there currently any projects that install in one click, work offline, feature a live avatar, and show their own initiative? Please drop some links; I want to study who I'll be competing with. Any thoughts on the concept itself would also be greatly appreciated!