AI copilots.
Chat interfaces with tool-use, wired into the systems your team already runs. They read your data, draft the work, hand it back in the form your operators expect.
- ship
- 3–4 weeks
- best for
- internal tools, support, ops
- engine
- Claude Sonnet · tool-use
- handoff
- repo · keys · prompts · evals
What we actually ship.
Read your data
Connect to Postgres, S3, your internal APIs — whatever already runs. The copilot reads, it doesn't guess.
Tool-use, not magic
Every action the copilot takes is a tool call your team can audit, rate-limit, and roll back. Claude's tool-use is the primitive.
Evals from day one
An eval harness in the repo from week one. You catch regressions before your users do.
Ships to your stack
React, Slack, CLI, internal admin — we build into what you already run. No new surface area to maintain.
How it fits together.
The skeleton we reach for first. We bend it to your stack; we don't bend your stack to it.
[ user ] ──┐
▼
┌─────────────┐ ┌──────────────┐
│ COPILOT UI │ ─────▶ │ CLAUDE API │
│ (react/slack│ ◀───── │ tool-use │
└─────────────┘ └──────┬───────┘
│ │
▼ ▼
┌──────────┐ ┌────────────────┐
│ EVAL │ │ YOUR TOOLS │
│ HARNESS │ │ (pg · api · s3)│
└──────────┘ └────────────────┘
│
▼
audit log
( you own )Who this is for.
You are —
- You have a real workflow — support triage, ops review, internal research — that humans do all day.
- You can point at the data source. It's your data, in your systems.
- You want to own the system post-handoff: the repo, the keys, the prompts, the evals.
You are not —
- Chatbots for your marketing homepage. We don't do those.
- Copilots with no data source — 'make it smart' is not a spec.
- Six-month procurement cycles with five vendors.
Book a call.
30 minutes. We'll tell you if copilots is the right shape, or if it isn't.