11 patterns · 31 working examples
Privacy-law data retention is designed into the database on day one — how long things live, what gets deleted together — not bolted on when a request lands.
11 patterns (9 Agency · 2 Enterprise) · 31 working examples
These aren't chapter titles — each one is an enforced rule your AI builds against. And the patterns don't just teach the shape: the working examples are real code that lands in your project.
Tracking any product's usage events without a table per feature
Capturing analytics events without shipping a third-party tracking script
Powering an analytics dashboard without a bespoke query per chart
Building both a default and an ad hoc conversion funnel from one log
Retention cohorts and page paths without a dedicated analytics SaaS
Session replay that doesn't leak sensitive fields into the recording
Click heatmaps reconstructed without storing a video of every session
Catching rage-clicks and slow pages before a support ticket does
Honoring a data-deletion request across a full analytics pipeline
Wiring an optional third-party analytics tool without a hard dependency
The dashboard shell every analytics tab plugs into
A legitimate "delete my data" request becomes a manual, error-prone hunt across a database never designed to answer it.