Outcome pod
AI Feature Build
A 5–10 day build of a production-ready AI feature inside your existing product — from spec to shipped, with tests and observability included.
- Duration
- 1–2 weeks
- Pod
- 1–2 senior experts + orchestrated agents
- Price guide
- $10,000–$20,000
- Billing
- upfront 50 50
What you get
- Production-ready AI feature shipped into your codebase
- Evaluation harness so you can measure quality before and after prompt changes
- Observability: latency, cost, and error tracking wired into your existing stack
- Tests covering happy-path and edge cases
- Documented prompt strategy and model selection rationale
How it runs
- 01Day 1: spec sign-off, environment setup, and first passing test
- 02Day 2-4: core feature build with daily shipped increments
- 03Day 5-8: edge cases, observability, evaluation harness
- 04Day 9-10: production deployment, load testing, and handover
Outcomes
- AI feature live in production and generating value
- Team confident to iterate on the feature without us
- Evaluation harness that catches quality regressions before they reach users
How it works
## What is it?
You have identified an AI feature that would move your product forward: a chat interface, a document summariser, an extraction pipeline, a recommendation engine. You need it built correctly — not a proof-of-concept that someone else will have to rewrite, but a production feature with error handling, observability, and tests.
We do the full build inside your codebase. We agree a tight spec before Day 1, move fast during the sprint, and ship to your production environment before we leave. You own the code; we write it to your standards.
Related accelerators
Often paired with this engagement.
Outcome pod
Codebase Audit
A 5-day deep audit of an existing codebase: architecture, technical debt, AI-readiness, and modernisation paths.
Outcome pod
AI Eval & Safety
A 5-day engagement that builds an evaluation harness, runs a safety audit, and gives you a clear picture of where your AI system fails before your users find out.
Outcome pod
MCP Integration
A 5-day build that connects your internal data and tooling to Claude via the Model Context Protocol, giving your team AI that knows your stack.
Begin
Start the engagement. Or ask a question first.
Selecting Start creates a pre-scoped project with the plan and deliverables already populated. Your expert reviews and personalises it with you in the first session. No commitment until you sign.