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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Build a Real

    AssemblyAI has released a new Voice Agent API that simplifies the creation of real-time voice AI applications in Python. This API consolidates speech-to-text, LLM integration, text-to-speech, turn detection, and tool calling into a single WebSocket connection. The service is priced at a flat rate of $4.50 per hour, aiming to reduce the complexity and cost associated with building such systems. AI

    IMPACT Simplifies development of voice AI applications, potentially lowering the barrier to entry for new products.

  2. Build a Voice Agent for Telehealth Triage

    AssemblyAI has released a Voice Agent API that allows developers to build sophisticated voice applications for specific industries. The API integrates speech-to-text, LLM, and text-to-speech capabilities into a single WebSocket, simplifying the development of complex conversational agents. This enables the creation of applications like telehealth triage systems that can capture patient symptoms and route them appropriately, or AI-powered cold-calling agents that qualify leads and book meetings, all while adhering to industry-specific compliance requirements. AI

    IMPACT Enables developers to build specialized voice AI applications for industries like healthcare and sales with integrated compliance features.

  3. Build an AI voice agent for customer support that can look up orders

    AssemblyAI has released a tutorial for building an AI voice agent capable of handling customer support tasks like order lookups and account verification. The agent utilizes AssemblyAI's Voice Agent API, which integrates speech-to-text, LLM reasoning, and text-to-speech on a single WebSocket connection to provide a seamless customer experience. Separately, a developer documented a process for training a support AI using real customer service chat logs, employing Retrieval-Augmented Generation (RAG) with a vector store and hybrid search to extract knowledge from historical conversations. AI

    IMPACT Provides practical examples of deploying AI for customer support and knowledge retrieval, showcasing specific tools and techniques.

  4. Announcing the fastest inference for realtime voice AI agents

    Together AI has launched a unified platform for building real-time voice agents, integrating speech-to-text (STT), large language models (LLM), and text-to-speech (TTS) within a single cloud environment. This co-location aims to reduce latency to under 500ms and simplify deployment by eliminating inter-vendor network hops. The platform now natively hosts models like Deepgram for STT and Cartesia Sonic-3 for TTS, offering developers more choice and a streamlined experience for production-ready voice applications. AI

    Announcing the fastest inference for realtime voice AI agents

    IMPACT Accelerates development of real-time conversational AI applications by simplifying infrastructure and reducing latency.