AI systems

An agent system is software that uses your context to run operations in your tools, with human approval before irreversible actions.

From a loose end
to a next step.

An agent should do more than answer. It should find the context, prepare something useful, and know when to stop.

Interactive walkthrough · Illustrative examplesOne request. A considered next step.
The work coming in
Appointment request

Could I move my Thursday appointment to Tuesday afternoon?

Example request
The important part

The request is only the beginning. A good system works out what it needs before it prepares an answer.

A useful next stepIllustrative draft

A schedule proposal

Edit the draft when it is ready. Nothing in this walkthrough is sent, booked, or changed.

01Context02Prepare03Check04Your review

Bring a real task. Explore it with the studio’s agent.

You, probably

Your intake, triage, verification, or first drafts stall when one person is away. You need that work to move with clear boundaries.

Not you, yet

If you want an agent without human checkpoints, we are not the right fit. Consequential actions need approval.

  • Agentic automation

    Agents read your context and act in your tools, with human checkpoints for consequential decisions.

  • Agent-backed design

    Agent workflows support discovery, framing, research, and iteration. A designer approves each stage.

  • Product factories

    Agents carry a feature from brief through specification, code, tests, and review, with approval at each gate.

Fixed fee, agreed before work starts. You keep everything below.

  1. 01Code and infrastructure in your accounts, under your keys.
  2. 02Guardrails enforced by tests that fail the build.
  3. 03An interface showing what ran, what it decided, and where it stopped.
  4. 04An evaluation set to check whether changes improve the system.
Which model do you build on?
We choose the model for the job. It remains replaceable as cost, capability, or your requirements change.
Does our data leave our systems?
Only with your approval. We can use models inside your systems and document where every piece of data goes.
What stops it doing something we cannot undo?
Sending, publishing, and submitting wait for a person. Guardrails block unsafe actions before they happen.
How do we know it still works in six months?
Runs are logged and the rules are tested. Changes that break a guardrail fail the build.
Can you show us one running?
Try the concierge on this site. It diagnoses your problem, sketches a system, and prepares an enquiry using the same code we deploy for clients.

Bring us the processyou would rather not run.

Describe the work you want to automate. Get a starting sketch, then talk it through with us.