The Problem It Solves: Before software teams launch new features or products, they often struggle to manually verify that the final, developed UI perfectly matches the original text-based product specifications and requirements. This leads to missed features, broken user flows, and a frustrating QA process where critical blockers slip into production because human reviewers overlook subtle discrepancies between the PRD (Product Requirement Document) and the live app. The Solution: LaunchGuard is an AI-powered visual QA and launch-readiness agent. It solves this problem by allowing teams to upload their original product specifications alongside screenshots of their developed UI. Using multi-modal AI (Vercel AI SDK + Google Gemini), it instantly cross-references the visible interface against the written requirements. It automatically identifies missing features, layout mismatches, and broken flows, and generates a structured "Launch Readiness Report" complete with a severity score, evidence mapping, and instantly exportable GitHub Issue drafts so developers can fix the blockers before shipping.
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