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Practical AI

Repeatable Workflows and Capstones

Combine evidence checks into repeatable work with human approval.

Modules
2
Lessons
6
Estimated time
About 4 hours of lessons
Before you start
For noncoders. No external AI account needed.

Times are planning estimates from each lesson's stated length, not measured completion times.

Reading and practice are open to everyone. Saving your progress needs an account with access to this course.

What the practice looks like

Practical AISample from Practical AI starting checks
Notice: The workshop includes a workbook. It says nothing about refreshments. Draft: “Refreshments are included.”

Would you keep, revise, or leave the claim unresolved? Explain using the notice.

See the evidence check

Refreshment inclusion is unresolved. A workbook does not establish it, and silence does not prove exclusion. Request confirmation or report the missing information.

Course roadmap

Modules are in the recommended order, and every lesson is open from day one.

  1. Reliable recurring work

    Practice and explain judgments about reliable recurring work.

    1. Reusable briefs, templates, and checklistsStart here25 min
    2. Steps, handoffs, failures, and tool boundaries25 min
    3. Evaluation sets, regressions, and maintenance25 min
  2. Capstone studio

    Practice and explain judgments about capstone studio.

    1. Capstone: research brief and evidence ledger45 min
    2. Capstone: document and data decision packet45 min
    3. Capstone: workflow handoff and adversarial revision45 min

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