How to add a useful AI assistant to your product

Most teams don't need a flashy chatbot. They need an assistant that reliably answers questions from their own knowledge and, occasionally, takes an action on the user's behalf. This post walks through how we approach that — pragmatically.

The goal is a feature people actually trust and reuse, not a demo that impresses once and is never opened again.

The problem

Support and sales teams answer the same questions over and over, from documentation that lives in five different places. The information exists — it's just slow and painful to retrieve, and easy to get subtly wrong.

Approach

We start narrow: one clearly-scoped job, one source of truth, and explicit guardrails. Retrieval over your real content beats a clever prompt every time, and it keeps answers auditable.

Implementation

The build is deliberately boring: index the content, retrieve the relevant chunks, ground the model, and log everything so you can see exactly what was answered and why. Actions are added only once answers are solid.

Results

Done well, first-response times drop, the team stops repeating itself, and trust goes up because the assistant cites its sources and defers when unsure. That's the bar worth aiming for.