AI in 10 Minutes a Day
Open course · choose any lessonThis course starts at the real beginning: what a chat agent is, where its answers come from, and why fluent text can still be wrong. In the first arc, learners make a safe first request, learn task, context, format, and constraints, understand chat history and memory limits, and establish a small daily habit.
From there, 15-to-20-minute lessons turn AI into practical, reviewable work. Learners extract decisions from notes, draft accurate emails, revise for voice, plan around constraints, build reusable prompts and checklists, and use AI to learn without skipping retrieval or reflection. Research lessons teach current-source search, claim checking, disagreement, research notes, and source-checked briefs.
The course then moves into files and structured work: privacy preflight, documents, reports, forms, PDFs, meeting packs, spreadsheets, budgets, scenario planners, formulas, charts, and verification. Every exercise uses fictional or sanitized material, keeps unknowns visible, and names the human check before anything is used.
The final arc turns successful work into a personal system. Learners organize prompts and templates, chain a workflow by hand, use AI as a thinking partner, understand supervised agents, delegate only low-risk tasks, and define clear red lines. The capstone is a Personal AI Playbook with approved inputs, a reusable instruction, source and privacy rules, a human owner, manual fallback, weekly review, version history, and stop conditions.
No paid feature is required: each core exercise has a standard chat path or complete manual fallback. The 48-lesson core takes about 12 to 16 hours of active learning; “10 Minutes” remains a daily-habit promise, while typical lessons are honestly listed as 15 to 20 minutes.
- Start from zero, build a safe first habitLessons 1–8
- Use chat agents for everyday work and learningLessons 9–16
- Research and accurate informationLessons 17–24
- Documents, PDFs, and communicationLessons 25–32
- Spreadsheets and practical planningLessons 33–40
- Personal systems, supervised agents, and capstoneLessons 41–48
- 1. Meet Your AI AssistantCurrent lesson
- 2. How a Large Language Model Produces TextNot started
- 3. What a Chat Agent Can and Cannot DoNot started
- 4. Your First Useful PromptNot started
- 5. Prompt Anatomy: Task, Context, Format, ConstraintsNot started
- 6. Context, Chat History, Memory, and Context WindowNot started
- 7. Steer the Conversation, Do Not Restart ItNot started
- 8. Your First Safe Daily AI HabitNot started
- 9. Summarize and Extract What MattersNot started
- 10. Turn Notes into a Clear EmailNot started
- 11. Rewrite in Your VoiceNot started
- 12. Make a Plan You Can FollowNot started
- 13. Compare Choices Without Giving Away the DecisionNot started
- 14. Turn a Good Prompt into a Reusable TemplateNot started
- 15. Build a Checklist or Simple ProcedureNot started
- 16. Use AI to Learn, Not to Skip LearningNot started
- 17. Search, Model Memory, and Current InformationNot started
- 18. Ask a Researchable QuestionNot started
- 19. Search with SourcesNot started
- 20. Check a Claim: Source, Date, Evidence, ContextNot started
- 21. Compare Sources and Handle DisagreementNot started
- 22. Keep a Research NoteNot started
- 23. Write a Source-Checked BriefNot started
- 24. Research Challenge: Make a Low-Stakes DecisionNot started
- 25. Privacy and File PreflightNot started
- 26. Turn Raw Notes into a Structured DocumentNot started
- 27. Build a Simple ReportNot started
- 28. Improve a Letter, Email, or FormNot started
- 29. Work with PDFs, Images, and Scans CarefullyNot started
- 30. Edit AI Like an EditorNot started
- 31. Make a Meeting or Project PackNot started
- 32. Document Challenge: Draft, Check, DeliverNot started
- 33. Spreadsheet Basics for AI UsersNot started
- 34. Build a Simple Budget WorksheetNot started
- 35. Build a Savings-Goal Scenario PlannerNot started
- 36. Build a Household, Event, or Travel PlannerNot started
- 37. Turn Data into a Table or ChartNot started
- 38. Ask AI to Explain or Improve a FormulaNot started
- 39. Check a Spreadsheet Before You Use ItNot started
- 40. Planning Challenge: Build and Test a TemplateNot started
- 41. Create Your AI Home BaseNot started
- 42. Build Your Prompt and Template LibraryNot started
- 43. Chain a Workflow by HandNot started
- 44. Use AI as a Thinking PartnerNot started
- 45. What Is an Agent?Not started
- 46. Delegate a Low-Risk Task SafelyNot started
- 47. When Not to Use AINot started
- 48. Capstone: Your Personal AI Operating SystemNot started
