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Building AI Workflows with ChatGPT and Claude: A Technical Guide

Chain ChatGPT and Claude in multi-step pipelines — handoffs, prompt design, error handling, and real examples on CrowdAI.

By CrowdAI Team
June 17, 2026
10 min read
Building AI Workflows with ChatGPT and Claude: A Technical Guide

Building Workflows with ChatGPT and Claude

Power users treat models like functions in a program — each with inputs, outputs, and contracts.


Pipeline design principles

  1. One job per step — don't ask one prompt to do research + write + format
  2. Explicit handoffs — "Output JSON only" between steps
  3. Verification step — Consensus or Verifier agent at the end
  4. Human gate for irreversible actions

Example: technical RFC pipeline

Step 1 (ChatGPT): Extract requirements as JSON
Step 2 (Claude): Draft RFC narrative from JSON
Step 3 (ChatGPT): Generate test plan section
Step 4 (Consensus): Final consistency check

Build this visually in CrowdAI Workflows — no glue code.

Browse AI workflow templates →


Error handling tips

  • If step 2 drifts, re-ground with step 1 JSON output only
  • Cap temperature conceptually: ask for "deterministic, checklist-style" on factual steps
  • Log intermediate outputs for debugging repeat runs

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Tags:
workflows
chatgpt
claude
developers