We run hands-on sessions on your repositories, your tickets, and your data rather than a sample project. Teams finish holding a workflow they built themselves, and we stay for the implementation only if you want us to.
Where an agent earns its time and where it quietly costs you more than it saves. Context management, review discipline, and the failure modes that show up on a real repository rather than in a demo.
Choosing the task actually worth automating, drawing the line between what the model does and what a person signs off on, and writing down how you will know it works before anyone builds it.
Building an evaluation set out of your own cases, reading the failures instead of the average, and putting a human gate on anything that carries consequence outside the building.
Which data is allowed where, what has to be logged, and how to answer a security review about a system with a model inside it. The questions that stall pilots at the gate rather than at the model.
Hands on keyboards from the first hour, working in your repositories against tickets already in your backlog.
Spread over weeks with office hours in between, so the questions that surface in real work get answered while the work is still open.
The sessions, then our engineers pair with yours on the first workflow that goes to production. Teaching that ends at the demo rarely survives the backlog.
We look at how your team works today and where AI would genuinely help. That includes naming the parts of the workflow to leave alone, which is usually more of it than people expect.
Sessions built on your work, not a curriculum. Everyone finishes each one having put something small into a branch, and having seen at least one thing fail and get fixed.
You decide whether we pair on the first production workflow or hand over the material and step back. Both are finished engagements as far as we are concerned.
A workshop whose only artifact is a slide deck was entertainment. Every session produces something that stays in your repositories after we leave.
Built in your repositories during the sessions, not in a sandbox
Written down for the tools your team actually has licences for
Assembled from your real cases, with the failures kept in
Where a person signs off, and what they are checking for
So whoever was on call that week is not left behind
In your team’s own words, for whoever joins next
Thirty minutes on the call. If a workshop would not change what your team ships next quarter, we will say so before quoting one.
