AI Startup Validates Chatbot with 99% Accuracy Before Launch
LLM testing framework catches hallucinations before users do
Services Used:
AI Customer Service Startup
AI / Customer Service
Austin, USA
The Challenge
What AI Customer Service Startup was facing
An AI startup building a customer service chatbot was preparing for launch with a major retail partner. They needed to prove their AI wouldn't hallucinate product information or give incorrect answers that could damage their client's brand.
LLM sometimes generated incorrect product information
No framework to systematically test AI responses
Enterprise client required 99%+ accuracy guarantee
Traditional testing approaches didn't work for non-deterministic AI
Launch deadline in 8 weeks with reputation on the line
The Solution
How BugBrain helped
BugBrain developed a custom LLM testing framework combining automated accuracy validation, hallucination detection, and adversarial testing to ensure reliable AI behavior.
Built golden dataset of 5,000+ validated Q&A pairs
Implemented hallucination detection for product claims
Created adversarial test suite for edge cases
Automated response quality scoring (accuracy, relevance, tone)
Continuous monitoring with regression alerts
The Results
Measurable outcomes from our partnership with AI Customer Service Startup
Accuracy Rate
Validated across test dataset
Hallucinations
False information rate
Edge Cases
Identified and addressed
Enterprise Deal
Major retail partnership secured
“Our enterprise client's due diligence was intense. BugBrain's testing documentation gave them confidence our AI wouldn't embarrass their brand. We closed the deal.”
CEO & Founder
AI Startup
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