Who's building Upwork for AI agents?

Agent Pay > Apple Pay?

Be careful asking your AI agents for takeout 🥡

Day 2 of consumer vs. enterprise AI agents series

We've made a series on consumer vs. business agents Hope you like it!

check out the full framework here:

This agent framework makes perfect case for why no-code won't work well for production AI systems. Here's our quick takeaway:

Here’s why: 1. Agent Design → No-code forces a linear, step-by-step flow. → But most real-world tasks aren’t linear. → You need agents that can reason, interact, and loop—not just execute once. 2. Memory Management → Stuffing everything into a prompt doesn’t scale. → You

Don't use no-code to build AI agents for business. Setting up at least a simple API instead is really worth the hustle.

Prompting won't fix your agent hallucinations, but splitting it into multiple agents might:

In SaaS, developers are the heroes. In AI agents, testers are:

This is how we've stopped hallucinations from destroying our AI agent workflows:

A 30-second debugging checklist for AI agents:

I see MCP here 👀

Agent works fine in the demo. Then fails the moment it hits real users and messy real-world scenarios. If you’ve built SaaS, you’re used to spending 70% of your time building and 30% testing. With AI agents, you have to flip that entirely. It's more so: 10% building

We’ve helped 36 startups fix broken AI agent products, and it’s almost always the same story:

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Should you fire your CTO?

The reason AI agents break (and will cost companies millions) is the same reason an LLM gives you 10 different answers to the same question. We figured out a way to solve this:

Can someone explain why so many AI agents break right after raising a few million on Demo Day? Our hypothesis: