Build Your Agentic AI Harness

Harness engineering for developers building real AI systems.

From Prompts to Process

Coding with AI is as useful as you make it. Autocomplete is using AI. Prompting into a chat-window in your IDE is using AI. Having the agent build you tests is using AI. All of these are helpful. None of them will 10x what you’re able to deliver. 

We’re going to take the next step here and learn how to engineer the agentic harness that you’ll then use in your own work. Directly and reliably. We’ll start with a simple manual harness, and we’ll incrementally build it into a system that coordinates specialized agents, validates their work, captures lessons from every run, and scales toward unattended execution.

Each lesson builds on the previous one, transforming a naive implementation into a robust, evolving system you can continue improving long after the course ends.

Along the way, you’ll discover why reliable AI isn’t about finding the perfect prompt – it’s about engineering the process that surrounds every model interaction.

A person coding at a desk with a laptop displaying code, while a friendly AI robot stands nearby and gears float above, symbolizing automation and AI development.

The essential guide to engineering the workflow that guides multiple agents toward reliable outcomes. The 3 modules build an agentic AI harness one layer at a time: from a naive workflow, to mechanical enforcement, to autonomous execution.

Everything you need to understand agentic AI workflows.

1. The Naive Harness

5 LESSONS (Text)

  1. The Naive Harness
  2. The Ticket
  3. The Implementor
  4. The Evaluator (preview lesson)
  5. Letting Go: The Orchestrator

2. From Prose to Machine

5 LESSONS (Text)

  1. Gates, Not Prose
  2. The Plan and Its Ledger
  3. Preflight and the Authorization Line (preview lesson)
  4. The Learning Loop
  5. Metrics Overview

3. Letting Go at Scale

4 LESSONS (Text)

  1. Headless
  2. One Ticket at a Time
  3. The Overnight Run
  4. Making It Yours: Adoption and Evolution (upcoming)

The lessons in this course are text-based, with a full project backing each one.

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I believe strongly in the quality of the course material to teach you the fundamentals of the library. I’ve put a lot of work and care into the material and hope you’re going to use it and to develop and maintain your applications.

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