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AI agents

Custom AI agents that do real work, and show you what they did.

Sorting requests, answering the same questions, writing tests, preparing releases. We build AI agents that take on repetitive work in operations and engineering. Each agent uses only the tools you allow, logs every step and asks a person before anything important changes.

When teams call us

  • Your team spends hours every week on the same repetitive tasks
  • You tried AI, but it never made it into daily work
  • Requests, tickets or documents pile up faster than people can sort them
  • You worry about letting AI touch real systems without oversight

What we deliver

  • A short list of what to automate

    We look at how your team works and pick the tasks where an agent saves the most time, and the ones that should stay human.

  • Agents with clear limits

    Agents built with LangChain and LangGraph that plan, act only through the tools you allow and log each step.

  • Connected to your tools

    OpenAI and Anthropic Claude connected to your repositories, tickets, documents and internal systems, often orchestrated with n8n.

  • People stay in charge

    Changes arrive as drafts or diffs for a person to approve. Nothing important happens silently.

How it runs

  1. 01

    Pick one task

    We start with a task that is frequent, clear and easy to check.

  2. 02

    Build a first agent

    A working agent tried on real examples, with its limits written down.

  3. 03

    Check it with your team

    Your people review what it does, we fix what it gets wrong, and only then does it go live.

  4. 04

    Grow one step at a time

    Once the agent has earned trust, we add tasks or tools one by one.

Related work

Our engineers built AI-driven internal tooling that automated recurring engineering tasks for NorthStar Network's team, and we build SDK Pilot, our own AI engineering agent.

FAQ

Which models do you use?

We integrate the OpenAI and Anthropic Claude APIs and choose per task, based on quality, speed and your data rules.

What happens to our code and data?

We design each agent around your data policy: which systems it can touch, what it logs and which provider processes what.

Can agents help outside engineering?

Yes. The same approach works for operations work such as sorting requests, drafting replies, checking documents or preparing reports, with a person approving the result.

Is this the same as SDK Pilot?

No. SDK Pilot is our own product for engineering teams. An AI agent project is built around your tasks, your tools and your data.

Tell us what you need.

Something to build, people to find or a question to answer. In a 30-minute call we listen and tell you honestly how we can help, and what it would take.

Book a call

30 minutes, in French or English. Free.

Prefer writing? Send a short brief instead.