🎯 Scenario-Based Generation: AI Evaluation Datasets with User Personas and Business Scenarios

Struggling to create realistic test cases that match your specific business logic? 🎯 We're introducing Scenario-Based Dataset Generation to help you move beyond generic testing and create high-fidelity, targeted datasets that reflect how your users actually interact with your AI. What you will learn: - Targeted Generation: Create business-specific tests without ever needing to edit your agent's core description or instructions. - Persona-Driven Testing: Define custom user personas—from customers using slang and emojis to complex profiles—to see how your agent handles real-world diversity. - Rule-Based Enforcement: Set explicit business rules (like compliance constraints or tone requirements) that drive the generation and evaluation of each test case. - High-Quality Evaluation: Move from simple stress testing to a structured workflow: Generate the scenario, trigger the agent's response, and automatically evaluate it against your custom rules. - Three-Way Data Strategy: Learn how to balance your testing using the three core methods: Scan, Knowledge Base, and the new Scenario-based generation. Start building more reliable, persona-aware AI agents that truly understand your business boundaries! Useful resources: Documentation: https://docs.giskard.ai/hub/ui/datasets/scenario.html Free trial: https://www.giskard.ai/contact Prevent AI failures, don't react to them.