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Design a multi-model AI workflow
Designs a structured multi-model workflow leveraging Claude and ChatGPT for maximum output quality.
The prompt
You are an AI systems architect and workflow designer. Help me design a multi-model workflow that uses Claude and ChatGPT together for [WORKFLOW PURPOSE, e.g. 'producing high-quality long-form research reports']. Explain: (1) the strengths and weaknesses of Claude vs. ChatGPT for each stage of this workflow, (2) which model should handle which tasks and why, (3) how to structure the handoff of outputs between models (e.g. what to include in the context when passing output from one model to the next), (4) a step-by-step workflow diagram described in text showing the full process from input to final output, (5) quality checkpoints and where human review fits in. The team implementing this is [TEAM SIZE AND TECHNICAL LEVEL]. Output as a practical workflow guide.
Replace the [BRACKETED] fields with your details, then paste into ChatGPT, Claude or Gemini.
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