92% read about AI.
10% operate it.

This is where the difference is taught.

Maturity diagnostic, 4D framework, and 3 exportable tools. In one hour you have a defensible adoption plan.

Outcome · when you finish

Five operational capabilities you'll have:

  • ·Diagnose AI maturity for your organization or your role with a score and a radar.
  • ·Pick use cases with concrete criteria — which ones matter, which ones are noise.
  • ·Delegate work to an agent with clear intent and operational verification.
  • ·Calculate the real economic viability of each use case (TCO, not just tokens).
  • ·Scale adoption without losing control: 4D framework, two loops, three modes.

Pilot path · 60 min

First hour: suggested path

If you're just starting and want to land fast, this is the order. Each step takes you to the recommended content:

  1. 1 Start with the (10 min). Get your starting point.
  2. 2 Read (5 min). The 4D framework operational in four lines.
  3. 3 Read (5 min). What data you can delegate and what you can't before acting.
  4. 4 Watch (10 min). The contrast that sorts out what real augmentation is.
  5. 5 Watch (15 min). Where senior prompting gets concrete.
  6. 6 Try the with a real use case of yours (15 min). First exportable artifact.
  7. 7 Close with the applied to the same case (5 min). Real cost, not the promise.

When you close the hour: you have a diagnostic, a framework, a governance baseline, a use case modeled in an exportable Tree, and its economic viability number. Enough for an adoption conversation with your team on Monday.

Designed to move from individual exploration to real team use cases.

Course map

Click any module to start there. Completed ones are marked.

Common Foundations

Choose your track
Technical Track — Claude Code
Professional Track — Claude Cowork

Tools — Apply what you learned

Executable diagnostics, calculators, and structurers. Not theory modules — tools where you produce or calculate something concrete.