Solutions · Department

AI agents for engineering teams grounded in your docs, runbooks, and systems

Build agents that answer questions over your internal docs and runbooks, speed up incident triage, and summarise PRs and tickets. Ground them in your own knowledge, wire them to real systems via MCP, and call them from any service through one REST API.

14 days free · No credit card · Bring your own model keys

Agent blueprint

Model
GPT-4o, Claude, Gemini or Llama — a dropdown
Knowledge
Your PDFs, FAQs and crawled pages
Tools
Discovered from your MCP servers
Deploy
One script tag, or POST /v1/chat/stream

Configured in the dashboard. Live on the next request.

Why it fits

Built for Engineering. Not bolted on.

The same platform every other team here runs, pointed at the material, systems and vocabulary this work already uses.

One API, any model

Call every agent from your services through a single REST endpoint, and switch between GPT-4o, Claude, or Gemini from a dashboard with no code changes (BYOK).

Grounded in real context

Agents read your docs, runbooks, and FAQs via RAG and reach live systems through MCP tools, so answers reflect your codebase and infrastructure, not guesses.

Every call traced

OpenTelemetry tracing on tokens, latency, and cost means you can debug agent behaviour and watch spend the same way you watch any other service.

The build list

What you can ship.

Each one is a single agent: grounded in your knowledge, connected to your tools over MCP, and called through one endpoint.

Browse every solution

Answer questions over internal docs

Ground an agent in your runbooks, architecture docs, and wikis so engineers get cited answers instead of digging through stale pages.

Speed up incident triage

Wire an agent to your logs, monitoring, and ticketing systems via MCP to pull context, surface likely causes, and draft an incident summary during an outage.

Summarise PRs and tickets

Hand an agent a pull request or ticket and get a clear summary of what changed, what to review, and what is still open.

Build internal developer tools

Stand up bots and internal tools on top of your agents and call them from CI, a Slack-style workspace, or your own dashboards through one API.

Put one agent to work in Engineering. This week, not next quarter.

Build it on the free trial, ground it in your own material, and judge it on a real question.

14 days free · No credit card · Cancel anytime