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Anthropic
Anthropic
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Intermediate

Chain Complex Prompts

Break complex tasks into smaller subtasks for better accuracy, clarity, and traceability.

Official Anthropic docs →
Content sourced from official Anthropic documentation
1

Why chain prompts?

When you handle everything in a single prompt, Claude can drop steps. Chaining breaks tasks into focused subtasks. Benefits: Accuracy, Clarity, and Traceability.

šŸ’”Each link in the chain gets Claude's full attention!
2

When and how to chain

Use chaining for multi-step tasks like research synthesis, document analysis, or iterative content creation. Steps: 1) Identify subtasks, 2) Structure with XML for handoffs, 3) One clear objective per subtask, 4) Iterate based on performance.

Common chain workflows
Content creation:
  Research → Outline → Draft → Edit → Format

Data processing:
  Extract → Transform → Analyze → Visualize

Decision-making:
  Gather info → List options → Analyze each → Recommend

Verification loops:
  Generate content → Review → Refine → Re-review
For independent subtasks (like analyzing multiple docs), run prompts in parallel for speed. Only chain sequentially when outputs depend on previous steps.
3

Self-correction chains

Chain prompts to have Claude review its own work — catches errors and refines outputs for high-stakes tasks.

3-step self-correction
Prompt 1 — Generate:
"Summarize this medical research paper. Focus on methodology, findings, and clinical implications."

Prompt 2 — Review:
"Review this summary for accuracy, clarity, and completeness on an A-F scale."
→ Catches: undefined acronyms, missing baseline stats, no secondary endpoints

Prompt 3 — Improve:
"Update the summary based on the feedback."
→ Final version: defines RCT/GLP-1/GIP, adds group matching, notes secondary endpoints
The review step (Prompt 2) consistently identifies issues that humans would catch in editing — missing definitions, incomplete data, and gaps in analysis.
4

Legal contract analysis: Chained vs. single

Without chaining, Claude misses the instruction to include proposed changes. With chaining, each step excels.

Contract → Email chain
Prompt 1:
"Review this SaaS contract for risks. Focus on data privacy, SLAs, and liability caps. Output findings in <risks> tags."
→ Produces structured risk analysis

Prompt 2:
"Draft an email to the vendor outlining these concerns and proposing changes.
<concerns>{{CONCERNS}}</concerns>"
→ Produces email with specific proposed changes per clause

Prompt 3:
"Review this email for tone, clarity, and professionalism."
→ Validates before sending
Single prompt: Claude forgets to include proposed changes in the email. Chained: each step has one focused objective, so nothing gets dropped.

Key topics covered

Prompt chaining
Subtasks
Multi-step workflows
Self-correction
Pipeline design
Error isolation
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