Prompt Anatomy is a methodology for predictable AI operations, not a collection of clever prompts. Foundations describe how the pieces fit before you scale tools or agents.
The stack
Business outcome
→ Workflow (steps, owners, handoffs)
→ Context architecture (what the model may see)
→ Model step (generation where it adds leverage)
→ Evaluation (pass/fail before scale)
→ Governance (who may change what)
Core principles
- Structure before sprawl — one documented workflow beats five chat tools (Your Company Does Not Need More AI Tools).
- The model is not the system — see framework article.
- Context is designed — not dumped; see context architecture.
- Agents are workflows with boundaries — see agent workflow design.
- Maturity is staged — use the implementation ladder.
Where to go next
| If you are… | Start with |
|---|---|
| Diagnosing chaos | 10 Signs of vibe prompting |
| Designing agents | Agent workflow guide |
| Setting ownership | Governance roles |
The ecosystem of training and tools lives at promptanatomy.app—this blog is the field-notes layer.
Framework overview
A separate overview article is retired; this page is the single entry point for the framework map.