What problem does it solve? It turns open-ended questions about products, competitors, or markets into a structured decision document with verified evidence, instead of relying on stale summaries or vendor marketing claims. ## Core Features & Use Cases - Round-based parallel research: Runs batched web searches across landscape, differentiators, and coverage gaps, seeded from curated awesome-lists on GitHub. - Claim verification by cloning repos: Clones projects with git and greps source code to check whether README claims match the actual implementation, producing a docs-vs-implementation table. - Decision matrix deliverable: Scores candidates on Pain, Fit, Coverage, First-party risk, and Defensibility with BUILD / WATCH / DROP verdicts, saved to a research directory. - Use Case: Ask whether to build a new developer tool in a crowded category; the skill maps the field, checks first-party vendor moves, verifies key repos, and delivers a recommendation with open risks. ## Quick Start Research the market for AI code review tools, compare the top competitors, and give me a decision matrix on whether to build one.