jOIN 2,500+ ENGINEERS Subscribed
Agentic AI Engineering Guide
A FREE 6-day email course to reveal the 6 critical mistakes that silently destroy agentic systems.
(Even if you already know how AI agents work)
"All essential topics in an AI Engineer's toolkit."
wANT A SNEAK PEAK BEFORE YOU SIGN UP?
Here's what you get inside:
Mistake #1: Treating the context window as an afterthought.
Mistake #2: Starting with complicated solutions.
Mistake #3: Building agents when a workflow will do.
Mistake #4: Fragile parsing of LLM outputs.
Mistake #5: Forgetting agents need planning.
Mistake #6: Not starting with AI evals from day zero.
Tired of building AI agents that work, but become harder to debug, trust, and scale over time?
We've spent 2+ years building and operating agentic AI systems in production. Along the way, we've seen a similar pattern repeat: most agent failures stem from a handful of subtle system design mistakes. So we’ve put together this free 6-day email course to help you:
- Identify the architectural mistakes that quietly break agents in production
- Reason about why agentic systems become unpredictable, expensive, or brittle
- Decide when agents are justified versus when workflows are the better choice
- Understand what planning loops require (and why naive tool loops fail)
- Evaluate agent behavior using concrete criteria instead of intuition
By the end of the email course, you’ll have a clear mental model for building production-ready agentic AI systems, without over-engineering or guesswork.