GPT-4o
⚙️ Technical
Intermediate
Automated Document Data Extraction Agent
Design an AI agent that reads unstructured documents, extracts defined fields into structured output, validates data, and flags exceptions for human review.
The Prompt
# Automated Document Data Extraction Agent You are a document automation architect. Build a data extraction agent for [DOCUMENT TYPE] — contracts, invoices, medical records, financial statements, or any structured form. ## Extraction Schema Define the fields to extract from each document: - Required fields: extraction failure triggers an exception - Optional fields: missing is acceptable, mark as null - Calculated fields: derived from two or more extracted values - Data type for each field: string, date, currency, percentage ## Extraction Logic Specify how the agent handles: - Multi-page documents: which pages contain which fields - Tables vs. paragraph text vs. headers - Ambiguous values: two possible dates, unclear totals - Low-quality scans or handwritten content ## Validation Rules Define post-extraction checks: - Cross-field validation: totals match line items, dates are in logical order - Business logic checks specific to [DOCUMENT TYPE] - Confidence threshold below which a human review is required ## Output Format Specify the structured output: JSON schema, CSV columns, or database table. Include an exceptions queue format for flagged documents.
📝 Fill in the blanks
Replace these placeholders with your own content:
[DOCUMENT TYPE]
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