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AssemblyAI tutorials showcase Universal-3.5 Pro Realtime for voice agents

AssemblyAI has released new tutorials showcasing its Universal-3.5 Pro Realtime model for building voice agents. The first tutorial demonstrates how to create a real-time voice agent in Node.js without requiring Python or heavy framework dependencies. A second tutorial details integrating AssemblyAI's model into Vapi, a managed voice platform, highlighting its low latency and accuracy for production use. The third tutorial focuses on using the model within Pipecat, an open-source Voice AI framework, emphasizing its modular design and features like punctuation-based turn detection and context carryover. AI

IMPACT Enables developers to build more sophisticated and accurate voice agents using AssemblyAI's advanced speech-to-text capabilities.

RANK_REASON Tutorials demonstrating the use of a specific AI model within different frameworks and platforms.

Read on AssemblyAI blog →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

AssemblyAI tutorials showcase Universal-3.5 Pro Realtime for voice agents

COVERAGE [3]

  1. AssemblyAI blog TIER_1 English(EN) ·

    Node.js voice agent with AssemblyAI Universal

    Build a real-time voice agent in Node.js using the AssemblyAI Universal-3.5 Pro Realtime

  2. AssemblyAI blog TIER_1 English(EN) ·

    Vapi voice agent with AssemblyAI Universal

    Use AssemblyAI Universal-3.5 Pro Realtime as the speech-to-text engine inside your Vapi voice agent — and get punctuation-based turn detection, keyterm prompting, and 307ms P50 latency inside Vapi's managed voice platform.

  3. AssemblyAI blog TIER_1 English(EN) ·

    Pipecat voice agent with AssemblyAI Universal

    Build a real-time voice agent using Pipecat — Daily.co's open-source Voice AI framework — and the AssemblyAI Universal-3.5 Pro Realtime model as the speech-to-text engine.