A smarter path to working AI.
That keeps the first step smaller, helps the team get its bearings, and makes any later build work a lot better.
Four phases. Real momentum.
Start with one class or one conversation. Either one gives us a much better read on the team.
Some teams want the Intro AI Class right away. Others want to talk first. Both are fine. We use that first step to learn what your team is trying to fix, what it is ready for, and whether the class, the full course, or custom work makes sense.
What Happens
- Try the major AI tools side by side if you take the class
- Talk through where the work is repetitive, delayed, or messy
- See a few live examples tied to real business tasks
- Figure out whether your team should learn first or jump into build work
- Decide next steps without getting pushed into a bigger sale
Your team learns by doing. Every session includes teaching, demos, and time to build.
This is where people stop dabbling and start getting reps. Over six weeks, your team learns the major AI tools, builds around real workflows, and finishes with a capstone it can keep using after the course ends.
What Happens
- Week 1: AI Foundations, meet every major platform
- Week 2: Build a custom AI expert trained on your business
- Week 3: Browser agents that use the web for you
- Week 4: Build autonomous workflow automations
- Week 5: Run an entire workday using AI tools
- Week 6: Present your capstone and get a strategy document
Once the team knows the problem clearly, we can build the heavier lift.
After training, some teams want us to take over the more technical part. That usually means a bigger automation, an internal tool, or a system that needs tighter integration than the course project.
What Happens
- Solution design scoped to specific business outcomes
- Development and integration with existing systems
- Team training and documentation
- Post-launch support and iteration
Example Quick Wins
- ●Custom chatbots trained on your knowledge base
- ●Multi-step workflow automations
- ●Internal tools and dashboards
- ●System integrations (CRM, email, calendar)
We stay close enough to keep the work useful as the team and tools change.
Some teams want ongoing help after the course or the build. We stay involved, check what people are actually using, train new hires, and help decide what is worth doing next.
What Happens
- Monthly working sessions and tune-ups
- Priority support for existing AI systems
- New team member onboarding and training
- Workflow adjustments as your business evolves
- Quarterly planning for next opportunities
How we think about our work.
No Jargon
We explain this in plain English. If the team is confused, that is on us.
Hands-On First
People learn faster when they use their own files, notes, and tasks. So that is what we use.
Keep The First Step Small
You should not need a giant commitment to get started. We would rather earn the next step than force it early.
Leave The Team Better
The work should leave your team more capable, not more dependent on us.
What we don't do.
Being clear about what we don't do is just as important as what we do.
We don't do keynote-style training
People build during the sessions. They are not paying us to click through slides for an hour.
We don't push custom software too early
A lot of teams need clarity before they need a build. We are fine starting there.
We don't oversell
If AI is not the right fit, or the intro class is enough, we will say that plainly.
We don't vanish after the work ships
If you want ongoing help, we stay involved. If you do not, we leave things documented and usable.
Want to talk through the options?
Tell us what your team does, where the work gets stuck, and what kind of first step feels realistic.