Prompt Engineering
Production prompts: anatomy, few-shot, chain-of-thought and the reasoning-model inversion, templates and chaining, and prompt versioning with rollback.
- Chapters
- 5
- Hours
- 1
- Difficulty
- Intermediate
- 3.0beginner
Anatomy of a production prompt
The five sections every production system prompt has, why monolithic god-prompts fail, and how to wire defensive instructions against prompt injection.
- 3.1beginner
Zero-shot and few-shot
When examples earn their tokens and when they don't. The decision rule, the over-prompting cliff, and how prompt caching rewrites the math.
- 3.2intermediate
Chain-of-thought, ReAct, self-consistency
The three techniques that survived the 2023 prompting literature, and the reasoning-model inversion that flips the rules: when to use each, and when to delete them.
- 3.3intermediate
Templates and chaining
Treating prompts as typed code, and the call you make every week: one big prompt or several small ones in a chain.
- 3.4intermediate
Prompt versioning
Treat a prompt change like a code change: registry, version pinning, rollback, and review, with a minimal setup you can build in a week.