Build the future · Strategy + build · 4–8 weeks
AI products & agents
LLM features, RAG and agents, evaluated for quality and cost before scaling.
AI products and agents is the work of bringing AI into a product sustainably: LLM features, RAG and agents, evaluated for quality and cost before scaling. The goal is to move from a demo that impresses to a feature in production that pays for itself.
Who it's for
For teams that want AI in the product without it becoming a demo that doesn't scale.
It makes sense when
- The company wants AI in the product and doesn't know where to start.
- There is a demo that works, but no one knows if it holds up with real users.
- The AI's cost per use is an unknown.
What you get
A validated use case
An AI use that solves a real user problem, chosen with criteria.
A feature in production with evals
The feature live, with quality evaluations that show when it gets things right and when it doesn't.
Measured cost per use
What each use costs and how that cost behaves at scale.
How it works
Duration: 4–8 weeks
- 01
Use case
We choose where AI creates value and define how to measure quality.
- 02
Prototype and evals
We build the feature and evaluate quality and cost on real cases.
- 03
Production
We put the feature live and follow quality, cost and usage.
Proof
Frequently asked questions
What is RAG?
It's a technique that retrieves the relevant information from a knowledge base and hands it to the language model before it answers. It makes answers more accurate and grounded in the company's data.
How long does it take?
4 to 8 weeks, depending on the use case and the integrations.
Related services
- Discovery Sprints
Validate problem, solution, pricing, demand and messaging with fast experiments.
- Zero to MVP
Minimal scope, built with tests and documented decisions, and analytics from day one.
- Innovation program
A thesis, a portfolio of bets, PoCs with kill criteria and startup partnerships.
Talk directly with Evandro.
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