AI Technical Agent for Documentation

An AI technical agent grounded in your docs, README, and code that answers developer questions with cited sources, returns real configuration and code snippets, and escalates when the answer isn't there. It is the assistant your documentation site has always needed.

What the technical agent does

Developers don't want marketing copy — they want the exact flag, endpoint, or config that solves their problem. The technical agent indexes your documentation, API reference, GitHub repository, and changelog, then answers precisely, pulling the relevant snippet and linking to the page it came from. It never invents an API that doesn't exist: when the answer isn't in your content, it says so plainly and offers to escalate.

Grounded in your real docs

Because the agent only answers from content you indexed — a docs crawl, a GitHub repo, uploaded PDFs, or a connected MCP source — it stays accurate as your product changes. Re-crawl on a schedule and the agent updates itself. The analytics dashboard surfaces the questions developers ask that your docs don't answer well, turning support load into a prioritized docs backlog.

Actions and handoff, with approval

Through the Model Context Protocol (MCP), the technical agent can do more than explain — open an issue, check a build, or look up a record — but anything that changes data pauses for human write-confirm first. When a question needs a person or shifts to billing, it hands off cleanly, part of the broader multi-agent platform.

Getting started

Point it at your docs site and GitHub repo, enable the technical agent, and embed one script tag. Try it live in the playground, then start free — 100 messages a month on the free tier, with room to grow on pricing.