PolyAI Releases Dialog-RSN-1: An Audio-Native Dialog Model That Fuses Turn-Taking, Speech Recognition — 2026-07-31

## Short Segments PolyAI's new Dialog-RSN-1 model is changing how enterprises handle voice calls by directly processing audio, not just transcripts. We'll explore how this impacts customer service later in the episode. First, Nous Research introduces three integration paths for Hermes Agent and Buzz, Block's open-source workspace for humans and AI agents. Then, JetBrains open-sources KotlinLLM, enabling smart macros that generate and hot-reload Kotlin code at runtime. Finally, we'll look at how Omnigent is building policy-governed multi-agent workflows for financial research. Nous Research ships three integration paths for Hermes Agent and Buzz, Block's open-source Nostr workspace. Buzz, a self-hostable platform, allows humans and AI agents to share channels, with each participant having their own identity and audit trail. Hermes Agent support means developers can now run AI agents alongside human users in a shared environment, enhancing collaboration and workflow automation. Buzz is Apache-2.0 licensed, while Hermes Agent is MIT licensed, making them accessible for solo developers and small teams. Mid-market platform teams are the ideal users, as the system relies on Postgres, Redis, and S3/MinIO. Practical applications include incident memory, code review, and automated reporting, offering a flexible and integrated workspace for AI and human collaboration. JetBrains open-sources KotlinLLM, introducing smart macros that generate Kotlin source code at runtime. This IntelliJ IDEA plugin allows developers to write Kotlin functions that are dynamically generated and updated as the application runs. Smart macros convert inputs into typed values, enabling seamless integration of LLM logic into Kotlin projects. The plugin supports hot-reloading through the Java Debug Interface, allowing developers to test and iterate on code without restarting their applications. This open-source release provides a new way for developers to leverage AI in their Kotlin projects, enhancing productivity and code maintainability. Building a policy-governed multi-agent financial research workflow with Omnigent offers a new approach to AI orchestration. Omnigent provides a meta-harness that unifies multiple coding agents, emphasizing policy-driven control and security. In a tutorial, developers can configure a financial research lead agent to retrieve live exchange rates, prepare summaries, and delegate tasks to sub-agents for validation. The system uses Python functions as agent tools and YAML for agent structure, running directly from Colab without additional setup. Omnigent's framework addresses the challenges of managing multiple AI agents, offering a unified control layer that enhances collaboration and governance. ## Feature Story PolyAI releases Dialog-RSN-1, an audio-native dialog model that transforms enterprise voice interactions. This model directly processes caller audio, integrating turn-taking, speech recognition, function calling, and response generation into a single system. Unlike traditional models that rely on transcripts, Dialog-RSN-1 perceives audio input, allowing for more natural and efficient conversations. PolyAI reports significant improvements in response times and call containment, with sub-300ms responses and reduced latency in live deployments. Currently, the model is available only through PolyAI's platform, targeting large enterprises with high call volumes, such as restaurants and insurers. While the model is English-only at launch, it represents a significant step forward in making AI-driven calls sound more human. By keeping audio awareness on the input side and separating text-to-speech, enterprises retain control over the voice output, ensuring consistency and quality. As more companies adopt Dialog-RSN-1, we can expect a shift in how customer service interactions are handled, with AI playing a more prominent role in delivering seamless and efficient experiences. For now, existing PolyAI customers can enable the model, while new customers can request early access, marking a new era in enterprise voice AI.