Everyone s been talking about AI Agents over the past year.

But the real leverage doesn t come from the agent itself. It comes from the context you provide:

There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.

What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?

Last week Garry Tan (CEO of Y Combinator) shared his entire Claude Code setup on GitHub and called it "god mode."

He's sleeping 4 hours a night. Running 10 AI workers across 3 projects simultaneously. And openly saying he rebuilt a startup that once took $10M and 10 people. Alone, with agents.

A few years ago, AI at work meant smarter autocomplete or a chatbot on your website.

Now, I m seeing something different.

Companies are experimenting with AI agents as teammates - not just tools. They schedule meetings, file reports, analyze data, and even handle parts of customer support.

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

AI agents are everywhere right now.

They help with launch copy, visuals, outreach, follow-ups basically most of what used to take days can now be done in hours.

But I keep thinking about something. Are AI agents actually improving product discovery on Product Hunt or are they just making launches look more polished?

Yes, AI speeds things up. You can test messaging faster, create better assets, prepare more efficiently.

Yesterday went through this Tweet by Greg Isenberg.

There is an app called "rent a human."

With AI agents and assistants are becoming more advanced, we're seeing them handle everything from scheduling meetings to managing entire workflows.

But here s the big question would you fully trust an AI to run tasks autonomously, or would you prefer keeping an eye on things just in case?

Today, I m doing a slightly more relaxed and bizarre corner.

The internet is full of things that are either amusing or scary, but mostly things that capture something outside the norm (and over time, even these weird things tend to become normalised).

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi

I ve been hunting and playing around with AI agents for a while now, and while the progress is impressive, I keep running into things that make me think: Why can t it just do this already?

What s one thing you wish agents could do today that they just can t (yet)?

@OpenAI just dropped a 34-page guide on how to build intelligent AI agents. It s full of great ideas but could be hard to navigate if you're non-technical. I made a simple, no-code breakdown of only what you need to know here and how to apply these ideas into the no-code AI agents & multi-agent workflows you build on @MindPal here: https://mindpal.space/blog/opena...

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site.

More big tech companies bet on AI instead of employees.

• @Duolingo is starting to prioritise AI over employees and contractors.

• @Shopify is planning on going "AI first."

• @Fiverr CEO Micha Kaufman just sent his employees the most brutally honest email: "AI is coming for your jobs. Heck, it's coming for my job too."

• Firecrawl hires AI agents and has a Slack channel solely for AI agents.

On their livestream today, OpenAI just released a bunch of new tools for reliably building and using AI agents. From what I can tell, this is what's new-

New APIs:

• Responses API - a new multi-modal API that builds on chat completions to allow for the next-generation of tool calling, starting with the new tools announced today.

At this point, all of the AI coding assistants are in the same neighborhood. Decent at "advanced autocomplete", OK at code generation sometimes, and most are somewhere in the process of incorporating code context mechanisms. But what's next? Agentic behavior? Something else?
My pet prediction is that we will see the emergence of a new programming language that's designed for use with AI and can be translated to a variety of popular languages. (Or if we're cursed, just javascript )