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Decagon
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Experimentation A B Testing Suite

1 post · Feb 2026

What this trail covers

Decagon is evolving its AI agent platform by integrating a comprehensive experimentation and A/B testing suite. This suite allows teams to safely test changes to Agent Operating Procedures (AOPs), tone, knowledge, and tools against control groups, manage gradual rollouts, and track business-critical metrics like CSAT and deflection rate. The goal is to foster a culture of continuous iteration and data-driven decision-making for AI agents, treating them as products that require ongoing optimization.

All Decagon trails
  1. Introducing Decagon’s experimentation & A/B testing suite | DecagonThis post introduces Decagon's experimentation and A/B testing suite, enabling teams to iterate on AI agents by testing changes to AOP logic, tone, knowledge, and tools. It allows for gradual rollouts and tracking of business-critical metrics like CSAT and deflection rate. The post emphasizes applying product development rigor to AI agents, treating them as products that require continuous improvement and data-driven iteration.