Prompt Engineering · Free worked guide
Claude Prompt Chaining Examples
Learn when prompt chaining improves reviewability, with examples for research, extraction, drafting, and validation.
By ClaudeQuest · Reviewed · Independent learning material
When should you use prompt chaining?
Use a chain when stages have different evidence, tools, or validation criteria. Keep a single prompt when splitting adds handoff loss without creating a meaningful check.
Decision rule: Create a boundary only when the intermediate artifact can be inspected or validated.
Use it in a real situation
A team must extract contract clauses, compare them with a policy, and draft questions for counsel.
- Name the observable outcome and the constraint that changes the decision.
- Choose the smallest action that can produce useful evidence.
- Keep permissions, uncertainty, and side effects visible before execution.
- Run a check that could disprove the approach, then record what remains unknown.
Original ClaudeQuest worked example
From vague request to reviewable result
Task or input
Stage 1 extracts cited clauses. Stage 2 compares only those clauses to policy. Stage 3 drafts unresolved questions without giving legal advice.
Better result
Each step has a bounded input and an artifact that can be corrected before uncertainty spreads downstream.
How to verify it
Inject one extraction error and confirm the review boundary catches it before comparison and drafting.
Three mistakes to avoid
Copying without adaptation. Replace repository, data, user, and authority assumptions with facts from your environment.
Treating prose as enforcement. Use permissions, validation, tests, and human approval for boundaries that must hold.
Calling one success proof. Re-test the decision with a different input or context before treating it as a durable skill.
Related Prompt Engineering guides
Source and scope
Primary technical reference: Claude prompt engineering overview. Source reviewed September 13, 2026. Product capabilities can change; verify time-sensitive details against the current primary documentation.
The scenario and worked example are original ClaudeQuest learning material. ClaudeQuest is independent of Anthropic and does not guarantee tool performance, certification results, or professional outcomes.
Read the editorial and evidence method →