Product & portfolio work · Case study
Cockpit + Practice Engine
Two production surfaces shipped in 2026: Project Cockpit, an orchestration layer that infers what stage a project is in and wires launch, marketing, and the product brain together — and Principles Into Practice, a learning engine that turns abstract principles into trackable daily reps.
Product · Engineering · Ashley Kays
01 / The context
The problem to work through.
Two production surfaces shipped in 2026: Project Cockpit, an orchestration layer that infers what stage a project is in and wires launch, marketing, and the product brain together — and Principles Into Practice, a learning engine that turns abstract principles into trackable daily reps.
02 / The contribution
What went into the work.
- Project Cockpit: stage-inference orchestration connecting launch kits → brain nodes → marketing, with realtime build status
- Principles Into Practice: rep/pathway learning engine — 12 pathways, ~60 reps, RLS-secured Postgres, 24 tests — live at go.waymaker.cx/practice
- DNA-driven recommendations surface the right next rep for each user
03 / Documented work
What this example
demonstrates.
The source portfolio documents the deliverables and responsibilities below. No separate performance uplift is attributed to this project.
Explore the source work
