// METHODOLOGY · v0.4.2

HowweshipAIintoproduction.

Five steps. Fixed scope. Weekly demos. No surprises.

01
1 week · fixed price
AI Opportunity Sprint
Use-case mapFeasibility reviewRoadmapBuild proposal

One week of structured analysis. We map your highest-leverage use cases, review feasibility against your actual data, and deliver a fixed-price proposal · or an honest "don't build."

02
2–8 weeks
Scoped Build
Working demo every FridayNot slides

Fixed scope, locked at signing. Every Friday is a live demo you can click around in. Not a status update deck. Scope changes go through written change-orders, no exceptions.

03
runs in parallel with build
eval-driven · continuous
Eval-Driven Dev
Test setEval dashboardRegression suite

The test set and eval harness get built before the first feature ships. This is the thing most AI teams skip. It's why their systems degrade silently in production.

04
integration · go-live
Deployment
Production deployMonitoringAuth & data hookup

We don't hand you a repo and disappear. Deployment includes production wiring, monitoring setup, auth integration, and a signed-off go-live checklist.

05
30-day support window
Handoff
DocsLoom walkthroughsRunbook

We're done when your team can run it without us. Full documentation, recorded walkthroughs, and a runbook your on-call engineer can actually use at 2 a.m.

Ready to start at step one?