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Design Agent Roles and Graph Structure

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Conversational Commerce Agent with LangGraph & Gemini 2.5 Pro

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Linked challenge
Conversational Commerce Agent with LangGraph & Gemini 2.5 Pro

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Outline the key agent roles (e.g., `ProductSearcher`, `CartManager`, `PaymentProcessor`, `OrderConfirmer`) needed for the conversational commerce system. Design the LangGraph state and flow, specifying how agents pass information and control, including conditional routing for decisions like 'product found' or 'payment failed'. Consider how to manage conversational history and context persistence.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the role framing, objective, and reporting structure so comparison runs stay coherent.

Tune next

Swap in your own domain constraints, anomaly thresholds, and examples before you branch variants.

Verify after

Check whether the prompt asks for the right evidence, confidence signal, and escalation path.