Manuals / Prompt Engineering
AI & Prompts · Beginner → Pro
Prompt Engineering
Interactive path — click phases, expand checkpoints, mark chapters done. Talk to models so they do useful, reliable work — not vibe-based guessing.

~4 wk
Typical span
4 phases
Learning bands
0/12
Chapters done
0%
Progress
Relative time weight by phase — click a band to open Phase detail.
Learning path
Phase map for this manual. Download the SVG or jump into a phase below.
Interactive pathway
Learning roadmap
A progressive route through 12 nodes across 4 phases. Click any node to open the chapter.
- Chapter
- Guide
- Checkpoint
- Beginner Mid Advanced
Text list of all chapters
- 01How LLMs actually workStart
- 02Prompt anatomy: role, goal, context, constraints, formatA · Structure
- 03Context windows & token economyA · Structure
- 04Few-shot examples & negative constraintsA · Structure
- 05Checkpoint A — Structured promptsA · Structure
- 06Decompose, rubric, chain-of-thoughtB · Patterns
- 07System prompts & multi-turn conversationsB · Patterns
- 08Structured output: JSON mode & schemasB · Patterns
- 09Checkpoint B — Patterns in productionB · Patterns
- 10Evals, golden sets & failure modesC · Production
- 11Team libraries, versioning & privacyC · Production
- 12Checkpoint C — Prompt engineer capstoneC · Production


Discussion
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