refresh-ai-journey-stats

To regenerate local project metrics from session history, you run a local deterministic workflow that rebuilds stats, validates non-empty outputs, and commits the delta via git to trigger deployment.

A git-pushed delta deploys updated stats by committing the validated stats.json and assets to git, where pushing the changes triggers an automated deployment pipeline like Vercel to update the live site.

Local stats build validation fails before publishing if the workflow detects empty or null metrics in the generated stats.json, enforcing a safe commit sequence by blocking incomplete data from being pushed to deployment.

Yes, you can refresh project metrics using local session data to rebuild numbers deterministically, bypassing flaky remote data sources to ensure the showcase accurately reflects recent work without external dependencies.

The safest commit sequence for publishing regenerated stats involves validating that the generated stats.json contains meaningful non-null metrics first, then committing the delta and pushing to trigger deployment.