Why I'm spending 15 weeks learning to consult on Claude AI
I'm running a 15-week public learning sprint to become a practical Claude AI consultant. This is why now, and how I'll show my work each week.
I’m starting a 15-week public learning journey to become a Claude AI consultant because I want to solve real business problems, not just ship demos. I’ve spent years building software end to end. Now I want to pair that delivery experience with structured AI consulting skills that clients can trust.
The goal is simple: each week I’ll document what I studied, what I built, where I got stuck, and what changed in my thinking. I’m not interested in posting polished hype. I’m interested in showing practical progress that another founder or team can actually use.
Consulting on Claude AI is not just prompt writing. It includes workflow design, evaluation, safety boundaries, integration architecture, and clear communication with non-technical stakeholders. Over these 15 weeks, I’ll build small but real artifacts around each area so the journey is visible and testable.
If you’re following along, you’ll get an honest log of wins, mistakes, and decisions. By the end, I want this journal to prove one thing: I can help teams adopt Claude in a way that is useful, safe, and grounded in delivery reality.