EVERYTHING AIAI engineering, made visual
Visual edition planned
Phase 16 · Lesson 05Learn + Build1.3 h25 lessons in phase

Supervisor / Orchestrator-Worker Pattern

One lead agent plans and delegates; specialized workers execute in parallel contexts and report back. This is the pattern behind Anthropic's Research system (Claude Opus 4 as lead, Sonnet 4 as subagents), measured at +90.2% over single-agent Opus 4 on internal research evals. Anthropic's engineering post reports that 80% of the variance on BrowseComp is explained by token usage alone — multi-agent wins largely because each subagent gets a fresh context window. This lesson builds the supervisor pattern from the primitives and covers the 2026 engineering lessons from production deployments.

Visual edition planned

This lesson isn’t interactive yet.

It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:

Part of Phase 16Multi-Agent & Swarms. Use the previous / next cards below to keep browsing the phase.