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Design AutoGen Data Preparation Pipeline

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Linked challenge: Automate GenAI Data Prep & System Integration

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Linked challenge
Automate GenAI Data Prep & System Integration

Prompt source

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Design an AutoGen multi-agent conversation flow for cleaning and integrating customer data from diverse sources (CSV, API). Define distinct agent roles (e.g., Data Source Reader, Data Quality Checker, Schema Mapper, Integration Agent) and their communication patterns. Detail how Gemini 2.5 Pro will be used by the Schema Mapper to intelligently infer mappings.

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.