Hands-on workshops,not slide decks.
From generative AI for business teams to Cursor and Claude Code for developers. Your team trains on its own tasks and tools, and keeps using them after we leave.
Your team trains
on your real work.
Toy examples teach the tool and not the job. Every exercise runs against tasks your team already has open.
Hands-on workshops
Your team works on real tasks during training, not toy examples. We teach what we use on client work every day.
Tailored to your team
Business teams learn generative AI and agent workflows. Engineering teams master AI coding tools and production best practices.
Ongoing enablement
Training does not end with the workshop: follow-up sessions, custom templates, and support as adoption spreads.
Three phases, and you
own the output of each.
No phase ends in a slide deck. Each one leaves you something you can run, read, or hand to another team.
- 01
Assess workflows
We map where your team's hours actually go and pick the highest-leverage skills to teach first.
- 02
Train on real work
Workshops run on your tasks, your data, and your tools. Everyone leaves with work already done.
- 03
Make it stick
Follow-up sessions, templates, and adoption tracking until AI use is routine, measured monthly.
A 200-person firm trained to use private AI every day: 94% monthly active adoption, hardware paid back in under four months.

The rest of the work
we take on.
Most engagements start with one of these and pull in a second along the way. They share a team and a delivery rhythm.
Thirty minutes,
and three things to keep.
No deck, and no discovery phase you pay for. If the answer is that you do not need us, you get that answer on the call.
- 01
Learning priorities
A clear picture of what your business or engineering teams need to learn first.
- 02
Workshop agenda
A format and agenda tailored to your team’s actual workflows, not a syllabus.
- 03
90-day honesty
What training can change in 90 days, and what it can’t.
“Tools don’t change how a team works, habits do. We’ll tell you what your team can realistically adopt in 90 days, and what would be a waste of a workshop.”