6.6 Multi-Agent Systems¶
Role at Stage 6: AI Agents¶
Coordinate specialized agents only when the extra communication improves outcomes. This part is one capability inside the stage. It should leave behind an artifact, measurements, and a short explanation of failure modes.
Explanation¶
This part has 3 sub-parts because the topic needs that many learning units to feel natural. Some stages have more parts and some have fewer; the structure follows the topic, not a fixed template.
Part Diagram¶
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flowchart LR
P["<b>6.6</b><br/>Multi-Agent Systems"]
P --> S1["<b>6.6.1</b><br/>Supervisor Worker"]
P --> S2["<b>6.6.2</b><br/>Agents as Tools"]
P --> S3["<b>6.6.3</b><br/>Handoffs and Shared<br/>State"]
P --> E["<b>Exam</b><br/>Part practice"]Sub-Parts¶
| Sub-part folder | What it explains |
|---|---|
| 6.6.1 Supervisor Worker | Supervisor Worker is the working skill inside Multi-Agent Systems that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result. |
| 6.6.2 Agents as Tools | Agents as Tools is the working skill inside Multi-Agent Systems that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result. |
| 6.6.3 Handoffs and Shared State | Handoffs and Shared State is the working skill inside Multi-Agent Systems that helps you build the stage artifact, A tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture README, while collecting enough evidence to trust the result. |
What a Person Who Masters This Part Can Do¶
- Explain how Multi-Agent Systems supports a tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture readme..
- Build and inspect this artifact: Build a planner-researcher-writer-reviewer comparison.
- Measure progress with: Track handoff success, conflicts, cost, latency, and quality lift.
- Debug at least one failure mode before moving to the next part.
Build and Measure¶
Build: Build a planner-researcher-writer-reviewer comparison.
Measure: Track handoff success, conflicts, cost, latency, and quality lift.
Tests¶
Take one 30-question exam after studying this part. It opens in a new browser tab so the study page stays available.
Back to Stage¶
Return to Stage 6: AI Agents.