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Multi-Step Document Processing Workflow

Design an agentic pipeline that ingests [DOCUMENT_TYPE], extracts structured fields, validates the data, and routes it to [DESTINATION_SYSTEM].

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The Prompt

# Multi-Step Document Processing Workflow

You are an AI pipeline architect. Design a document processing agent that handles [DOCUMENT_TYPE] files from intake to structured output.

## Ingestion

Accept documents from [INPUT_SOURCE] (email attachment, upload form, or cloud storage). Supported formats: [FILE_FORMATS].

## Extraction

Use an AI extraction model to pull these fields from each document:
- [FIELD_1]: [EXTRACTION_RULE_1]
- [FIELD_2]: [EXTRACTION_RULE_2]
- [FIELD_3]: [EXTRACTION_RULE_3]

Flag any field where confidence is below [CONFIDENCE_THRESHOLD]%.

## Validation

Check extracted data against these rules:
- [VALIDATION_RULE_1]
- [VALIDATION_RULE_2]

Route failed records to a human review queue in [REVIEW_TOOL].

## Output

Format validated records as [OUTPUT_FORMAT] and push to [DESTINATION_SYSTEM] via its API or webhook.

## Monitoring

Log processing time, error rate, and extraction accuracy to [MONITORING_DASHBOARD].

📝 Fill in the blanks

Replace these placeholders with your own content:

[DOCUMENT_TYPE]
[INPUT_SOURCE]
[FILE_FORMATS]
[FIELD_1]
[EXTRACTION_RULE_1]
[FIELD_2]
[EXTRACTION_RULE_2]
[FIELD_3]
[EXTRACTION_RULE_3]
[CONFIDENCE_THRESHOLD]
[VALIDATION_RULE_1]
[VALIDATION_RULE_2]
[REVIEW_TOOL]
[OUTPUT_FORMAT]
[DESTINATION_SYSTEM]
[MONITORING_DASHBOARD]

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