The Observability Layer Your AI Agent Is Missing
Logs tell you what happened. Traces tell you why. The three layers of agent observability, and where silent failures actually live.
I walk through a real production failure from my own system. My business ops agent confidently reported a completed task it had silently failed. Logs were clean. The dashboard was green. A single trace showed exactly why. This is Part 2 of the Agent Quality series, based on Google’s Agent Quality white paper.
Building an AI agent?
I help teams design and ship agentic systems — from architecture to production.
See how I can help
AI Agent Evals: The 4 Layers Most Teams Skip
Most teams evaluate AI agents by vibes. Here are the four layers of evals you actually need to ship agents with confidence.
I Gave My AI Agent Access to My Second Brain
What happens when you wire an AI agent directly into your Obsidian vault? Here's the setup I use to turn notes into real leverage.
Build Your Own AI Agent from Scratch (Mastra + TypeScript)
Learn to build your own AI agent that actually does work for you, not just answers questions.
How AI Agents Search Their Memory
In my last video, I covered how AI agents store memory. But storing it is only half the problem. In this one, we dig into how agents retrieve the right memory
Get new videos and posts by email
Weekly videos on AI engineering, plus deeper dives in the newsletter.
Occasional emails, no fluff.