Build a Login Page with Auth Metrics Tracking
Create a real login page with working authentication and instrument it to capture useful investment-app auth metrics such as signups, login attempts, success rate, failures, and drop-off.
AI-generated draft. This flow was created by the custom generator. Review the steps and Definition of Done before running - curated flows in the library are hand-crafted and research-backed.
The Route
0/9 verifiedDefine the auth flow and metrics schema
Establish exactly what the login system must do and what metrics need to be captured before implementation starts.
Create or wire the authentication foundation
Set up the real auth provider, session handling, and shared auth state needed by the login page.
Build the login page UI with validation
Create a usable login form with proper field validation and submission states.
Add auth metrics event tracking
Instrument the login experience so each important auth action is recorded and measurable.
Protect routes and redirect correctly
Ensure authenticated users reach the app and unauthenticated users are blocked from protected content.
Handle failure states and edge cases
Make the login flow reliable under invalid credentials, network issues, and session edge cases.
Create a simple metrics verification view
Provide a way to confirm that auth events are actually being captured.
Run end-to-end auth and metrics tests
Verify that the full login flow works in practice and that each action produces the expected metric.
Fix implementation gaps and harden the final flow
Close the common gaps left by AI-generated builds and ensure the feature is production-ready enough for the intended scope.
Context Pack
Paste this first. It briefs the AI on requirements, constraints, and the Definition of Done before your first build prompt.
Paste this into your AI builder first. It teaches the AI what you want before you give it the build prompt.
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