Agent
Layer 1 scans the codebase for UI entry points - places where users can trigger navigation, sheets, or actions. The goal is to create a complete inventory of "things users can tap.".
Agent
Layer 1 scans the codebase for UI entry points - places where users can trigger navigation, sheets, or actions. The goal is to create a complete inventory of "things users can tap.".
Agent
Layer 2 takes entry points from Layer 1 and traces the complete user journey.
Agent
Layer 3 systematically scans ALL entry points from Layer 1 and applies issue detection rules. Unlike Layer 2 (which traces specific flows in depth), Layer 3 does a breadth-first scan to categorize issues across the entire codebase.
Agent
Layer 4 evaluates workflows from the user's perspective. While Layers 1-3 analyze code structure, Layer 4 asks: "Does this workflow help the user achieve their goal?".
Agent
Layer 5 verifies that features use real user data instead of mock/hardcoded values, and that model capabilities are fully wired into the features that need them. While Layers 1-4 audit navigation and UX, Layer 5 audits whether the data flowing through those workflows is genuine.