AI Feature Integration
One production-ready feature, not a science experiment.
We build one AI feature at a time, scoped and shipped like any other feature. The deliverable is not a prototype — it is a feature with prompt versioning, an evaluation harness, cost monitoring per call, and a working fallback for when the model is rate-limited or down. We do not bolt AI onto a product just to be able to say AI is in the product. We will tell you honestly when a feature does not need a model behind it.
What ships.
Standard list for this chapter. Adjusted per brief when the engagement warrants it.
How it runs.
Same shape every time. Skipping a phase is rare and always written down.
01 — Scoping
We argue the feature down to one specific, measurable outcome.
02 — Prototype
A two-day spike to confirm the approach is even possible at the quality bar.
03 — Production
Real integration, with versioned prompts, evals, costs, and fallbacks.
04 — Hardening
Edge cases, retries, observability, abuse handling.
05 — Handover
Documentation, training, and an explicit list of what to monitor.