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.

Text list of all chapters
  1. 01How LLMs actually workStart
  2. 02Prompt anatomy: role, goal, context, constraints, formatA · Structure
  3. 03Context windows & token economyA · Structure
  4. 04Few-shot examples & negative constraintsA · Structure
  5. 05Checkpoint A — Structured promptsA · Structure
  6. 06Decompose, rubric, chain-of-thoughtB · Patterns
  7. 07System prompts & multi-turn conversationsB · Patterns
  8. 08Structured output: JSON mode & schemasB · Patterns
  9. 09Checkpoint B — Patterns in productionB · Patterns
  10. 10Evals, golden sets & failure modesC · Production
  11. 11Team libraries, versioning & privacyC · Production
  12. 12Checkpoint C — Prompt engineer capstoneC · Production

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