Consulting
From working demo to working in production
We design, build, and ship AI workflows inside the tools your team already uses — on infrastructure you own. The same open source stack we build in public, put to work on your processes.
Audit & roadmap
We inventory the AI tools and experiments you already have, map the workflows behind them, and leave you with a prioritized plan: which processes to automate first, what to build on, and what to skip.
A written roadmap your team can execute — with or without us.
Start the conversationWorkflow to production
One process, redesigned around AI agents and shipped: integrations wired into your Jira, GitHub, Linear, Notion or Slack, evaluated against your real work, and handed over with a runbook your team owns.
A workflow running in production on infrastructure you control.
Start the conversationAdvisory & iteration
After something ships: monitoring, evaluation, and steady iteration — and picking the next workflow worth automating. For teams that want a partner rather than a hand-off.
Ongoing improvement of what runs, and a pipeline of what runs next.
Start the conversationHow we work
Scoped, with a named deliverable
Every engagement is scoped up front around a defined deliverable — a roadmap, a running workflow, a measurable iteration — so you always know what done looks like.
Your stack, your data
We build inside the tools you already use, on infrastructure you own, with open source you can self-host and audit. Nothing about your business ends up in a vendor portal you rent.
Running, not rendered
The same rule as our workshops: an engagement ends with something running in production, not a slide deck about what could run someday.
One workflow, shipped
Write a few lines about the process you want automated and the tools it lives in. We reply with how we would approach it — and whether we are the right fit. The open source directory shows the stack we build on.