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Learning Path
From answer to action
Learn six ways to question an AI answer, then use them to review a complete task. Browse any chapter; the sequence is a recommendation.
Who it is for
Beginners who want to make better everyday decisions or review software work with AI. No AI background is required; choose everyday examples if code is unfamiliar.
Effort: six two-case exercises with questions, a six-question check, and one four-stage project with a changed case. Work at your own pace.
Skills and practical outputs
Decide what an AI system may do. Build a brief. Verify claims. Limit shared data. Test changed conditions. Keep approval with the right person.
Take home six checklists, your practice answer records and a review template with a worked example and self-assessment guide. 0/8 recommended chapters practiced. Practice results do not certify ability.
Included books
1. AI judgment foundations
Build a useful brief, check claims against the notes, test a proposed fix and keep action within permission.
- 1. Separate an answer from an actionPractice
- 2. Give useful contextPractice
- 3. Check a confident answerPractice
- 4. Share less and question instructionsPractice
- 5. Test beyond the easy examplesPractice
- 6. Prepare for human approvalPractice
- 7. Bring the six skills togetherCheck your understanding
- Earlier three-skill checkOptional · existing link retained
2. Put AI judgment to work
Work through a complete fictional task, assemble your own review and compare it with a worked example and a changed case.
The path recommends the code review project. The other project remains open to browse.
Book scope and outputs →Original authored practice from Founder Reality × SimpleDirect / Vinci. Each lesson includes its own fictional records, examples and feedback.