product-swipefile

Automate deep product research by providing a clearly named product to generate a fully evidenced go-to-market report. The workflow enforces stage-gated inventory collection, gap checks, writing, and validation to ensure every fact is traceable to its source.

Evidence provenance in a GTM deep-dive report means every claim links directly to inventory items, raw caches, or source URLs. This maintains traceability and auditability across teams by ensuring no unsupported statements exist in the final output.

Yes, you can research a named SaaS product, open-source project, app, or website in any language. The research workflow triggers whenever a user explicitly requests to research or analyze a named product and outputs a canonical Markdown report.

Stage-gated validation works by enforcing a sequential workflow: inventory collection, gap checks, writing, and validation. Each phase must be completed before advancing, ensuring the final product research report is fully evidenced and gaps are addressed before output generation.

The best way to generate an executive-ready product analysis is using a phase-driven research workflow that outputs a canonical Markdown report plus supporting artifacts. This ensures the analysis is suitable for executive reviews and backed by explicit provenance for every fact.