RETURN TO DISCIPLINES
QCV—DSC—04
AI Feature Integration
Useful, calibrated AI features inside real products — not chatbots glued to homepages.
— OVERVIEW
We build AI into products where the feature has a clearly defined purpose and a measurable outcome. We do not believe in a generic copilot, we do not believe in a chatbot for its own sake, and we do not believe AI features should be defended on the basis of being modern. We build them when they earn their place.
— DELIVERABLES
Adjusted per brief.
What ships
Standard list.Adjusted per brief.
D.01
Use-case definition with measurable outcomes
D.02
Model selection and provider review (OpenAI, Anthropic, open-source)
D.03
Prompt design, testing, and evaluation harness
D.04
UI integration with appropriate guard-rails
D.05
Cost monitoring and rate-limit configuration
D.06
Documentation for ongoing maintenance
— PHASES
Same shape every time.
How it runs
Five stages.Same shape every time.
P.01
Scoping
What is the feature, who is it for, and how will we know it worked?
P.02
Selection
Provider, model, and the system around the model.
P.03
Calibration
Prompts, evaluations, and the safety layer.
P.04
Integration
Front-end and back-end work to bring the feature into your product.
P.05
Observe
Metrics, logs, and the feedback loop that lets you decide whether to keep going.
— BOOK AI Feature Integration
File a brief and we will scope a sprint.
— CONTINUED ON NEXT DISCIPLINE
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