No Standard Format for Human Feedback on AI-Generated Markdown Specs
As AI-generated specification documents become more common in product workflows, there is no established convention for leaving structured, inline human feedback that AI agents can also parse and act on. Reviewers currently resort to ad-hoc annotations, separate comment threads, or verbal descriptions that break the document-as-source-of-truth principle. This creates a fragmented handoff loop where feedback is hard to trace, iterate on, and consume programmatically by downstream agents.
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.