Four learners. Forty-eight lessons. Each on their own real work.
The JD names four audiences — developers, enterprise admins, consumers, the general public. Here is one fictional learner for each, taught a full 12-lesson arc by the system the rest of this site describes. This is the playbook, built.
Pick a learner and walk their arc. Each lesson opens with an exhibit note telling you what to look for; the lessons themselves are the generated product — Say-See-Do cycles on that learner's real artifacts, every claim doc-set-cited, every objective tied to a standard you can click into. The four arcs are deliberately different: the same system, four genuinely different tutoring relationships. Each ends in a mastery ledger.
Maya R.
Claude Code × AI agents
Mid-career backend developer (Python/Go), new to Claude Code, migrating her team's brittle CI review pipeline into an agent-assisted workflow.
“Run one real PR through an agent-assisted review I actually trust.”
See the 12-lesson track → Enterprise adminsDevon T.
Cowork × nonprofits
Operations director at a 40-person nonprofit; non-developer; rolling Claude (Cowork + Team) out to program staff, with a grant-report workflow as the first team use-case.
“Roll Claude out to my team without creating a data-handling mess I can't see.”
See the 12-lesson track → ConsumersPriya S.
Web Chat × small business
Freelance longform journalist running a one-person business on claude.ai — research organization, interview-prep, drafting discipline, invoice/pitch admin.
“A research-to-draft workflow where I can show an editor exactly what's mine.”
See the 12-lesson track → General publicFrank O.
Web Chat × education (AI literacy)
58-year-old master electrician and union training-committee member, brand-new to AI, on claude.ai free tier — evaluating AI claims he hears, and trying Claude on apprentice-training materials.
“Know what this thing actually is, what it gets wrong, and whether it can help my apprentices.”
See the 12-lesson track →