ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

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+# 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](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:
+
+1. Run npm install.
+2. Run npm run generate.
+3. 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.