Stefan Jansen
Free Lesson

How to Engineer a Multi-Agent System

30 min
Sep 9, 2026 12:00 PM

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What you'll learn

See where the harness ends and the model begins

Learn which parts of a multi-agent system should be deterministic code and which to leave to the model's judgment.

Split one task into agents that cooperate

See how a forecasting task is decomposed into roles, and how the harness routes work between them.

Tell a demo apart from a system

Leave with a concrete rule for what an agent may do unattended and what still requires a person to approve.

Why this topic matters

A multi-agent system is mostly not prompts. It's the harness around the model: the code that splits a task into roles, routes work between agents, holds state, and checks results before they're trusted. That harness separates a demo that works once from a system that works every time. This lesson walks through the engineering behind a multi-agent forecasting system, built live in the workshop.

You'll learn from

Stefan Jansen

Stefan Jansen

Author, ML for Trading · Founder, Applied AI · Investing since 2013

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