Catch scope creep and missing acceptance criteria before engineers see the spec. Automated RFC/PRD review that flags ambiguities, logical gaps, and execution risks in minutes.
The moment a PRD lands in Slack, it's already late. Engineering is reading it. Product is defending it. Nobody has time to actually audit it for the gaps that become $50k change requests in week 3. This agent reads your RFC or PRD like a skeptical tech lead: it hunts for missing acceptance criteria, scope creep signals, ambiguous requirements, and logical inconsistencies before handoff. It doesn't approve specs—it surfaces the questions that should have been asked in the doc. How it works: Drop a PRD or RFC into the workflow. The agent scans for: - **Acceptance criteria gaps**: Requirements without measurable outcomes. "Users can search" vs. "Search returns results in <200ms for 100k+ records." - **Scope creep flags**: Feature requests that sneak in as "nice-to-haves" or undefined dependencies on other systems. - **Logical inconsistencies**: Contradictions between stated goals and proposed solution. ("We need to reduce latency" + "Let's add three new API calls.") - **Missing edge cases**: What happens when the happy path fails? No error handling spec = surprise on-call pages. - **Ambiguous language**: "Intuitive," "fast," "reliable" without definition. The agent flags these and suggests measurable alternatives. - **Undefined dependencies**: References to other systems, APIs, or teams without clear ownership or timeline. - **Risk assessment**: Highlights execution risks (third-party API reliability, data migration complexity, compliance unknowns). Output is a structured review: high-priority gaps first, suggested rewrites for ambiguous sections, and a confidence score on whether this spec is ready for engineering intake. The real win: You catch the spec debt before it becomes code debt. Engineers spend their time building, not clarifying. Product avoids the "we didn't mean that" conversation in week 4. This is not a rubber stamp. It's a filter that runs before the human filter runs out of patience.
Privacy notes
Specs often contain internal roadmap, customer names, or financial targets. If using a cloud-hosted agent, ensure your vendor's data retention policy aligns with your confidentiality requirements. Self-hosted or private LLM deployment recommended for sensitive product strategy.