Artifact Delivery with Claude Code: Human Review Queue
A production playbook for artifact delivery in cross-industry operations using Claude Code: human review queue, run-scoped inputs, logs, typed results, and artifacts.
Audience: Teams whose agents create files customers download
The problem
Teams whose agents create files customers download need artifact delivery to run repeatedly against reports, exports, patches, PDFs, and manifests. 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 artifact delivery 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 artifact delivery, 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: artifact-delivery
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