SpecGuard

Requirements documents contain hidden ambiguities, conflicting assumptions, missing edge cases, and incomplete workflows. Most issues only become visible after engineering work begins — when they are expensive to fix.

After years of writing PRDs, reviewing requirements, documenting APIs, and supporting software delivery, I kept watching the same failure mode repeat across teams and companies. The PRD passes review, engineering starts building, and three sprints later the team is rewriting the spec in tickets. The expensive moment is not where the bug is found — it is where the ambiguity was introduced.

SpecGuard is an AI-powered requirements intelligence platform. Drop in a PRD, design doc, or API spec, and SpecGuard surfaces ambiguities, unstated assumptions, missing edge cases, conflicting requirements, and downstream implementation risks before engineering work begins.

• Document ingest for PRDs, RFCs, API specs, and design briefs.
• Ambiguity & assumption detection with line-level evidence.
• Edge-case coverage scoring against a domain taxonomy.
• Risk register auto-generated from the document.
• Suggested rewrites that preserve intent while removing ambiguity.

• Started as a personal checklist of recurring PRD failure modes.
• Turned the checklist into prompts, then into an evaluation harness.
• Built a product surface where the checklist runs continuously against drafts.

• Calibrating sensitivity — false positives destroy trust faster than false negatives.
• Designing evidence-first output so reviewers can verify every claim the model makes.

• AI products are won and lost in the evaluation harness, not the prompt.
• The most useful AI is the AI that knows what it doesn't know.

SpecGuard becomes the spec-time spell-check the entire product org runs on — a quality bar that catches expensive mistakes before they reach the build phase.