AI Integration

LLM features in a real product, with the guardrails that keep a probabilistic system from doing damage on real data.

WHAT THIS LOOKS LIKE

Tool calling that works

Agents wired to your actual systems, with the failure modes handled.

Guardrails first

Validation, confirmation, and limits before an action touches production data.

Grounded in your data

Retrieval over your own content, so answers cite something real.

Cost & latency control

Caching, model choice, and prompt sizing — measured, not guessed.

STACK FIT

TypeScript

Node.js

LLM APIs

Tool calling

PostgreSQL

Redis

OUTCOME

An AI feature you can leave running against real business data.