Claude Code adds a /goals layer so agents stop only after evaluators verify completion

Published on 14 May 2026

Pipelines went green while parts never compiled—days late

Enterprises report production AI agent pipelines failing not due to model skill, but because the agent decides it’s “done” too early—sometimes before code is actually compiled. Anthropic’s new Claude Code /goals separates task execution from task evaluation, running a dedicated evaluator model after each step to prevent premature exits using measurable completion conditions like tests and exit codes.

Claude Code /goals stops an agent only after evaluators confirm conditions
It defaults to Haiku as the evaluation model, checking after each attempted end
Built on a measurable end state, proof checks, and constraints that must not change
Anthropic claims less need for extra observability and post-mortem reconstruction

#ai agents #automation #software engineering #claude code #evaluation

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Claude Code adds a /goals layer so agents stop only after evaluators verify completion

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