About the Protocol
The 4 AI Maturity Levels
Level 0 — AI-Curious
Never used AI tools. First goal: feel the shift.
Level 1 — AI-Assisted
Uses AI occasionally. We make them collaborators.
Level 2 — AI-Integrated
Uses AI daily. We show them how to package methods for others.
Level 3 — AI-Native
Orchestrates AI systems, builds workflows, thinks in sequences.
How It Works
The Protocol takes your specific role, tasks, industry, and AI readiness — then builds a personalized day-by-day plan that moves you from wherever you are to AI-native operator. Every day has a concrete task, a specific tool, and a measurable outcome.
Evidence-Backed
Based on the Crystal Ball evidence base: documented AI deployments, workforce impact studies, and sector-specific automation patterns tracked across 15 sectors and continuously updated.
Built by someone living this problem every day
Why this exists
I manage a team of data engineers, DBAs, platform ops, and DevOps professionals at a major IT services company. When AI started accelerating, I watched smart people freeze — not because they couldn't learn, but because every "learn AI" resource out there was generic noise. Broad advice for no one specific. I needed something I could hand to each person on my team and say: here, this is your plan, it starts tomorrow, day one is this. That tool didn't exist. So I built it.
This isn't theoretical
The Protocol was tested with my own team before it became a product. Real people, real roles, real anxieties about AI displacement. What's here is the distilled, productized version of what actually worked — the cadence, the progression, the day-by-day structure. A continuously updated evidence base of real AI deployments across 15 sectors sits underneath the generation engine. The Protocol isn't inspired by research. It is the research, operationalized.
The Two Gates
My philosophy on staying irreplaceable is simple. I call it the Two Gates. There are only two points in any system where a human needs to show up personally: the Judgment Gate — deciding what to build, what matters, what to cut — and the Trust Gate — the face-to-face moments where relationships and credibility are established. Everything between those two gates should be automated.
"Value is migrating from execution to system-level coordination, governance, and decision-making. The real competitive advantage is architecture, judgment, and curation — not raw output."
What I'm trying to do
Turn AI anxiety into AI advantage — not by teaching everyone to code, but by helping people find where their specific human value lives and building a concrete plan to amplify it. You don't need to become a prompt engineer. You need to understand which parts of your work AI can't touch, double down on those, and systematically offload the rest. That's what the Protocol teaches. One day at a time.