Free Lesson

Building Effective Agent Harnesses

Part of Build AI Agents That Survive the Enterprise

45 min
Jul 23, 2026 6:00 PM
Virtual (Zoom)

In this video

What you'll learn

See what turns an LLM call into an agent

Build the core loop: give the model tools, let it act, return the result, and repeat until the task is done.

Build the harness around the model

Use context, state, guardrails, traces, MCP, hooks, cron jobs, sub-agents, and feedback to shape reliable behavior.

Steal the right ideas from modern agent harnesses

Study Pi, Codex, and Claude Code, then decide which ideas your users need and which belong on a conference slide.

Why this topic matters

Agent frameworks have an impressive talent for making every feature feel mandatory. Memory! Planning! Multi-agent orchestration! You ain't gonna need most of it. We’ll build an agent loop from first principles, examine MCP, hooks, cron jobs, and sub-agents, and learn from Pi, Codex, and Claude Code so you can decide what belongs in your harness and what belongs on a conference slide.

You'll learn from

Hugo Bowne-Anderson

Hugo Bowne-Anderson

AI & data engineer, consultant, educator of 6+ million students (ex-Yale)

Coached teams at

Google
Instagram
OpenAI
Netflix
Yale
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