A small, hands-on, three-month cohort for leaders who want to use tools like ChatGPT and Claude Code to solve real problems inside their current roles. Not a course. Not a demo. Real work, with real tools, on your actual problems.
The goal is not to learn tools in isolation, but to build repeatable ways of working with AI that you can continue using after the cohort ends.
This is best suited for people who are responsible for outcomes and want to reduce cognitive load, sharpen judgment, and move work forward using AI.
This is not a general AI overview. It is not a certificate program. It is not a series of tool demos.
The focus is on building practical, repeatable solutions to problems you already face. Every session is oriented around judgment and real constraints, not hype or hypotheticals.
This cohort is not about hypothetical projects. Participants use AI to work on real problems they already own.
Examples of the kinds of work people bring into the cohort include:
You do not need a startup idea.
You do need real work you are responsible for.
Full access to all six sessions over three months, including setup guidance and group working sessions.
Full access to all six sessions over three months, including setup guidance and group working sessions.
Optional. Focused, one-on-one help to accelerate or harden a specific solution tied to your work.
Personalized build support is optional and scoped transparently. You will know exactly what it covers before deciding.
Seats are limited. If this sounds like the right fit, secure your spot.
Register NowThis command center is one example of what's possible. Built with AI tools like Claude, it transforms a simple prompt into a structured briefing across multiple priorities, relationships, and initiatives. In the cohort, you'll learn to build similar systems tailored to your specific role and challenges.
What you're seeing: A command center we built internally to manage priorities, surface what's time sensitive, identify high-ROI actions, and flag initiatives that need attention.
This demonstrates the type of practical AI solution you'll learn to build — customized to your specific workflow and challenges. The exact metrics, structure, and focus areas would be entirely yours.
The hard part isn't capability. It's holding everything in your head at once. What's drifting. What's urgent. What only feels urgent. What actually matters this week.
Note: This demonstration uses illustrative data to show functionality. Your command center would reflect your actual projects, metrics, and priorities.
A closer look at how the six sessions are structured and what you can expect to work on.
Most experienced professionals already know what they're doing. The problem is that too much of the work lives in their head. This session shows how to use AI to get that thinking out where you can actually work with it.
You should feel real relief in this session. If you don't, the cohort isn't doing its job.
This is where you stop watching demos and start using AI on your own problems. Some things will work better than expected. Some won't. That's the point.
This session helps shape what the rest of the cohort focuses on.
When everything feels important, decision-making suffers. This session focuses on using AI to help you see tradeoffs more clearly so you can decide what actually deserves attention.
The goal is not for AI to decide for you, but to make decisions easier to make.
Many decisions fail not because they're wrong, but because they're poorly explained. This session focuses on using AI to help you clearly communicate your reasoning.
AI helps you say what you already know, more clearly.
This session is about reducing future work. Instead of starting from scratch each time, you'll build simple structures you can reuse.
The final session focuses on integration, not expansion. You'll decide where AI fits into your work and where it doesn't.
No hype. No "next level." Just clarity.
A note on flexibility: Sessions 3–6 adjust based on what people are actually working on, where AI helped the most, and where it caused friction. That's intentional. The cohort stays grounded in real work, not a fixed script.
This is a pilot. It is not for everyone. The goal is real work, not passive learning. If you want to build something meaningful with AI inside your current role, this is the place to do it.