Claude Managed Agents Q&A: Evals, CI/CD and Multi-Tenancy (Part 4 of 4) — Anthropic
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youtube.com
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AI Engineer
Date
Context
A conversational AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → can remain available while a helper waits for an external operation. In Anthropic's workshop Q&A, an audience member suggested a coordinator pattern and the team agreed it works well: the main agent handles conversation, while a multi-agentUsing several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.Full definition → owns the custom tool call and waits for its result.
That arrangement addresses a limitation the team described earlier in the session: while an agent awaits a custom tool result, execution is paused and new messages are not accepted. Moving that wait to a subagent separates the slow operation from the main conversation. The team describes the helper as a separate thread within the same session, and said the main thread stays idle while subagents work.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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