Agent Result Schema Design with Claude Code: Human Review Queue
A production playbook for agent result schema design in cross-industry operations using Claude Code: human review queue, run-scoped inputs, logs, typed results, and artifacts.
Audience: Backend engineers productizing agents
The problem
Backend engineers productizing agents need agent result schema design to run repeatedly against expected product events, downstream schemas, and examples. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Split the agent result schema design result into automatable fields and review-only exceptions, then send low-confidence cases to a human queue with evidence artifacts attached.
Tradeoffs and failure modes
Human review slows a subset of runs, but it lets the workflow ship before every edge case is fully automated. For agent result schema design, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Review handoff
review_status: needs_review | approved | rejected
review_reason: string
source_evidence: artifact_url[]
agent: Claude Code
workflow: agent-result-schema
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