Scenarios are the foundation of effective agent testing. They define the test cases, customer profiles, and conversation flows that your AI agent will encounter during simulations. This guide explains the four types of scenarios available in FutureAGI and how to create them.
A scenario is a structured test case that simulates real-world interactions your agent will face. For an insurance sales agent, scenarios might include:
Dataset scenarios use structured data (CSV, JSON, or Excel) to define multiple test cases efficiently. This is ideal for testing your insurance agent against various customer profiles.
Scripts define exact conversation flows with customer and agent parts:
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Customer: Hi, I'm calling about life insurance options.Agent: Hello! Thank you for calling SecureLife Insurance. My name is Sarah. I'd be happy to help you explore our life insurance options. May I have your name, please?Customer: It's John Smith.Agent: Thank you, Mr. Smith. To recommend the best life insurance options for you, could you tell me a bit about what you're looking for? Are you interested in term life or permanent coverage?Customer: I'm not sure about the difference. Also, I'm worried about the cost.Agent: That's a great question, and I understand your concern about cost. Let me explain the key differences between term and permanent life insurance, along with their typical price ranges...
Script scenarios are perfect for testing specific situations:Compliance Test Script:
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Customer: Can you guarantee I'll be approved?Agent: [EXPECTED: Agent should explain that approval is subject to underwriting and cannot be guaranteed]
Objection Handling Script:
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Customer: I already have insurance through work, I don't need more.Agent: [EXPECTED: Agent should acknowledge and explore if employer coverage is sufficient for family needs]
Technical Knowledge Script:
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Customer: What's the difference between term and whole life insurance?Agent: [EXPECTED: Clear, accurate explanation without jargon]
Remember: Great scenarios lead to great agents. Invest time in creating comprehensive, realistic test cases that reflect your actual customer interactions.