liqiang
b119135836
AI Agents in Depth — English Slidev Course
This directory contains the 42-lesson English video course derived from the English edition of the book.
The approved curriculum is documented in COURSE_OUTLINE.md. It uses the Option B allocation: four Chapter 5 lessons and four Chapter 9 lessons, with Computer Use and robotics taught separately. Chapter 7 retains six lessons so post-training and reinforcement learning can be introduced without assuming prior ML-training knowledge. Lesson 42 concludes both Chapter 10 and the complete series.
Production rules
- Each lesson is 15–20 minutes.
- The author budgets roughly one minute per slide.
- The generator derives each displayed lesson duration from the rendered slide count plus the live-demo budget; it rejects any lesson outside 15–20 minutes.
- Decks are intentionally sparse: one claim, comparison, figure, or short code excerpt per slide.
- Every live-demo lesson contains a dark “Switching to the terminal” handoff slide before the author changes windows.
- Live terminal demonstrations are budgeted at one to three minutes each.
- Several short experiments may share one contiguous demo block.
- Lessons with five or six minutes of demos automatically use a compact 13–14-slide structure instead of squeezing the terminal work past 20 minutes.
- Long-running, external-service, GPU, telephony, or hardware experiments use traceable artifacts or preflight commands and never imply unperformed work.
- The decks contain slide content and brief presenter cues, not narration scripts. The author supplies the interpretation in his own voice.
- All visible slide content is English.
Visual language
The style follows the author’s existing Slidev talks under ~/ring0.me/public/files: Seriph, problem-led titles, two- and three-column cards, section dividers, code, architecture diagrams, and restrained accent colors. This course uses larger type and more whitespace than the older talks.
Generate and run
From this directory:
- Run npm install.
- Run npm run generate.
- Run npm run dev -- lesson-01.md.
The generator also creates COURSE_OUTLINE.md and copies the selected English book figures into public/images.
Build and export
- Build selected lessons:
node build-all.mjs 1 23 42 - Build every lesson:
npm run build:all - Export one deck to PDF:
npm run export -- lesson-01.md --output lesson-01.pdf - Export selected slides to PNG:
npm run export -- lesson-01.md --format png --range 1,8-10
The generated course outline lists every lesson, target duration, live experiment, and terminal-demo budget. Regenerate the decks after changing course.mjs; generated lesson files should not be edited by hand.