[04] PRACTICE
AI.
Useful AI features, not theatre.
We build AI into products where it pays. The interesting work is rarely the model — it is the retrieval, the evals, the guardrails, and the slow, careful tuning of a feature people actually use. We will tell you when an LLM is the wrong answer (often), and when it is the right one (sometimes), and we will price the answer in tokens, not promises.
What is in
the box.
- 01
RAG and structured retrieval over your own corpus — search that knows the difference between a customer email and a contract.
- 02
Tool-using agents where they earn it: drafting, triage, classification, structured extraction. We do not ship demos that pretend.
- 03
Evals before launch and drift checks after, so you know your feature is getting better, not just busier.
- 04
Prompt and model versioning, observable inference, and unit costs you can put on a finance dashboard.
- 05
A migration plan for the day a cheaper or smarter model lands — because both will, before we hand off.
Who this
is for.
- You have a real workflow worth automating, not a slide that says 'AI'.
- You sit on data your customers cannot easily search, and you would like them to.
- You shipped an AI feature nobody uses, and want to learn why before the next attempt.
- Generative-content farms or anything that pretends a model wrote the company memo.
- Training your own foundation model. We will help you choose one — not raise the round to build one.
Engagement shape
- Engagement
- Build-and-handover or pilot retainer
- Duration
- 4–12 weeks
- Team
- Principal + one ML/eng specialist
Indicative pricing — estimate, subject to change
AI feature pilot
from $8,000
One feature, end-to-end. Retrieval, evals, guardrails, deploy.
Production AI integration
from $18,000
Multiple features, full eval suite, observability, cost dashboard.
Figures are starting estimates, not quotes — final scope, taxes, and any third-party costs adjust the number. Every commission begins with a 30-minute conversation; we put a firm quote in writing within two working days.