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AI Prompt Engineering · Lesson

Sequential Transformation Chains

Draft → Review → Polish chains and other multi-stage refinement.

Transformation Chains

A transformation chain progressively converts content from one form to another through a sequence of specialized steps. Each step transforms the output of the previous step, gradually refining or enriching the content.

The three most useful transformation chain patterns are:

  • Draft → Review → Polish: Content creation and refinement
  • Brainstorm → Filter → Expand: Idea generation and development
  • Extract → Classify → Route: Data processing and decision making

Draft → Review → Polish

The most common content creation chain. Each step has a distinct role:

  • Draft: Generate raw content quickly — speed over perfection
  • Review: Critique the draft against specific criteria — accuracy, tone, completeness
  • Polish: Apply the review findings to produce the final output

Separating these into distinct steps produces better results than asking the model to draft and polish in one shot.

All lessons in this course

  1. What Is Prompt Chaining?
  2. Output-to-Input Patterns
  3. Sequential Transformation Chains
  4. Error Handling in Prompt Chains
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