
3/24/2026
What this post added
This post introduces Decagon Labs, the research and agent orchestration arm responsible for developing specialized, in-house trained models that outperform foundation models for enterprise customer experience. It highlights the architectural shift towards a network of specialized models for distinct functions (e.g., speech end detection, workflow execution, hallucination detection) to achieve low latency and high accuracy. The post emphasizes that research directly translates to production impact, with models powering millions of customer interactions. It also announces four accompanying deep dives into specific technical areas: off-policy training, prompt engineering optimization (GEPA), Bayesian VAD for turn detection, and reranker optimization for low-latency AI agents.