Simulations: How AI agents get tested and trusted | Decagon

Introduces 'Simulations' as a new testing capability for AI agents, focusing on generating conversations from mock users to test agent logic, knowledge retrieval, and guardrails. This includes specific features for testing AOP selection/execution, knowledge base retrieval, and guardrails/brand tone. It also highlights the use of historical transcripts to create grounded test cases and the ability to simulate voice-specific conditions (accents, speed, noise, tone). The 'Trace View' for debugging decision paths and the 'Watchtower' for automated QA of test runs are also introduced as part of this testing framework.