What is OneRun.ai?
Our AI chatbot failed spectacularly in a client demo. Why? Because tests are predictable, but people aren't. So we built OneRun: an open-source tool to simulate realistic conversations with AI personas. Find critical bugs before your users do.
Problem
Users currently rely on predictable testing methods for AI chatbots, which fail to anticipate real-world human interactions leading to critical failures during client demos.
Solution
An open-source testing tool that enables users to simulate realistic conversations with AI personas, identifying vulnerabilities before deployment. Example: Simulating erratic user behavior to uncover chatbot flaws.
Customers
AI developers, QA engineers, and product teams building chatbots or conversational AI systems, typically in tech startups or enterprises.
Unique Features
Leverages AI personas to mimic unpredictable human interactions, open-source adaptability, and scenario-based testing workflows.
User Comments
Prevents embarrassing demo failures
Saves debugging time post-launch
Easy integration with existing AI stacks
Open-source flexibility is a plus
Improves chatbot resilience
Traction
Launched 3 months ago, 1.2k GitHub stars, used by 150+ teams including early-stage AI startups. Founder has 4.3k followers on LinkedIn.
Market Size
The global AI testing market is projected to reach $1.5 billion by 2025 (MarketsandMarkets, 2023).
