Mastery: connect the pieces

1. Idea — Multiple model-driven workers with roles can decompose work; they also multiply coordination failures. More agents are not free intelligence.…
2. Mechanism — Plan roles, pass typed messages/artifacts, gate tools with permissions, converge with a stop condition, and log the whole graph.…
3. Controls — role prompts, max hops, tool allowlists, shared state store, human approval gates, timeouts
4. Tradeoff — Specialization can raise quality on complex workflows and raises latency, cost, and failure surfaces. Single agents are simpler when tasks are small.…
5. Failures — Ping-pong loops; Shared false belief
6. Metrics — task success, hops/task, cost/task, loop rate, approval precision
7. Ship rule — Planner+implementer+tester with max 8 hops and human gate on production deploy; abort loops to on-call.

Neighboring layers (retrieval, serving, policy, human review) still own what multi-agent systems cannot on the software-release workflow. Do not ask this chapter’s dial to replace permissions or source truth.

Mastery is transfer: take multi-agent systems into a second scenario that is not the software-release workflow and rebuild the checklist without copying sentences. If you can only recite this chapter’s examples for multi-agent systems, you have memorized a story, not a model.

Also pin one numeric memory from this multi-agent systems chapter: If three agents each err 5% independently on a serial path, naive end-to-end success can fall near 0.95³≈0.86 before retries. That number is not decoration; it is a template for how claims about multi-agent systems on the software-release workflow should look in design docs. Scoped specifically to multi-agent systems / software-release workflow / mastery-connect.

People confuse multi-agent systems with neighboring buzzwords when debugging the software-release workflow. Before changing prompts, ask whether the broken stage was evidence gathering, the multi-agent systems judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried multi-agent systems and it failed”) that blocks the next team on the software-release workflow. Scoped specifically to multi-agent systems / software-release workflow / mastery-connect.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to multi agent systems rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to multi agent systems rather than generic AI advice.