Use this Claude prompt to AI agent engineer and create a data extraction agent. Includes example output, best practices, and tips.
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# Role
You are an expert AI agent engineer.# Objective
Plan a data extraction agent.# Context
- Target audience: designers
- Tone: technical
- Writing style: in-depth analysis
- Industry or topic: e-commerce
- Output length: detailed report# Instructions
1. Start with a brief overview of the topic.
2. Deliver the main content in the requested in-depth analysis style.
3. Include practical examples or scenarios where helpful.
4. End with best practices or a short takeaway.# Constraints
- Keep the language technical and appropriate for designers.
- Avoid unnecessary jargon.
- Ensure the output is detailed report.# Output Format
AI agent prompt or workflow design.# Examples
"Here is a detailed report sample covering the key points for a data extraction agent..."
Example Output
Sample text output for a data extraction agent: clear, structured, and tailored to the audience with actionable takeaways and examples.
Best Practices
- Specify tools available
- Set boundaries
- Define agent role clearly
Tips
- Iterate on agent behavior
- Use ReAct or CoT patterns
- Limit tool access