Use this Claude prompt to AI agent engineer and create a customer support agent. Includes example output, best practices, and tips.
799 chars
# Role
You are an expert AI agent engineer.# Objective
Plan a customer support agent.# Context
- Target audience: enterprise teams
- Tone: formal
- Writing style: template
- Industry or topic: food & beverage
- Output length: long (800-1200 words)# Instructions
1. Start with a brief overview of the topic.
2. Deliver the main content in the requested template style.
3. Include practical examples or scenarios where helpful.
4. End with best practices or a short takeaway.# Constraints
- Keep the language formal and appropriate for enterprise teams.
- Avoid unnecessary jargon.
- Ensure the output is long (800-1200 words).# Output Format
AI agent prompt or workflow design.# Examples
"Here is a long (800-1200 words) sample covering the key points for a customer support agent..."
Example Output
Sample text output for a customer support agent: clear, structured, and tailored to the audience with actionable takeaways and examples.
Best Practices
- Set boundaries
- Specify tools available
- Define agent role clearly
Tips
- Use ReAct or CoT patterns
- Log decisions
- Include fallback paths