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02 · AI
AI integration
LLM features that survive production. RAG, agents, evals, and the small craft most teams skip.
How we approach it.
Adding AI to a product is easy to demo and hard to ship. We focus on the part that lasts: features that behave the same on a bad day as on a good one.
That means retrieval that actually finds the right thing, agents that know when to stop, and a set of evals so you can change a prompt without crossing your fingers.
Ideal for
Teams who want AI in their product without the flaky-demo energy.
What you get
- Chat, search or agent features
- RAG pipelines over your own data
- Tool-use and function calling
- Evals so changes are safe to ship
- Guardrails and cost controls
- Works with OpenAI, Anthropic or local models
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