How It Works
Botster generates AI-driven personas that produce test scenarios for your application, then iteratively prioritizes the highest-risk personas based on results.- Configure — Define risk behaviors, product metrics, tone, and style
- Describe — Provide your chatbot description (like a mini PRD)
- Connect — Link your chatbot via API or knowledge base
- Simulate — Botster’s persona modeler creates realistic users with goals, personality, and skills
- Evaluate — The risk evaluation engine analyzes results and prioritizes high-risk personas
Quick Links
- Quickstart — Get running with Botster in under 5 minutes
- See Examples — Explore how Botster works for different chatbot types
Core Concepts
| Term | Definition |
|---|---|
| AI Chatbot | The chatbot Botster will test. You provide a connection (API endpoint or local server) and a description of its purpose and behavior. |
| Simulation | A single test run. During a simulation, Botster generates personas that interact with your chatbot to create simulated conversations. |
| Persona | A synthetic user created during simulation. Each persona has unique goals, personality, behavior, and maintains state throughout the conversation. |
| Scenario | An individual simulated conversation. Botster generates scenarios at scale during each simulation run. |
| Metric | An evaluation of chatbot performance on each scenario. You select which metrics to track during simulation. |
Why Botster?
- Scale your testing — Simulate thousands of user interactions that manual testing cannot practically cover
- Rich persona modeling — Multi-dimensional personas generate realistic, diverse interactions across varied user types
- High-quality test data — Automated generation produces comprehensive scenarios with authentic conversation flows
- Catch issues early — Identify vulnerabilities and failure modes during development, before they reach production
- Workflow integration — Fits into CI/CD pipelines. Export data to CSV, JSON, or your preferred evaluation tool