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Friday

  1. ElevenLabs Blog

    ElevenLabs Blog: AI Voice Agents Integrate with Salesforce, HubSpot, Zendesk

    ElevenLabs released a guide on how to connect ElevenAgents voice agents to CRM and customer service systems such as Salesforce, HubSpot, and Zendesk, enabling bidirectional data operations such as reading customer records, creating tickets, and updating contacts during calls. The article states that with real-time context access, agents resolve inquiries up to 10 times faster than traditional approaches such as scripted chatbots or fixed phone trees, and can automatically log ticket history and reduce manual data entry through in-call and post-call webhooks.

    Diagram showing voice agents read CRM records mid-call and write ticket outcomes automatically.

    ElevenLabs released a guide on how to connect ElevenAgents voice agents to CRM and customer service systems such as Salesforce, HubSpot, and Zendesk, enabling bidirectional data operations such as reading customer records, creating tickets, and updating contacts during calls. The article states that with real-time context access, agents resolve inquiries up to 10 times faster than traditional approaches such as scripted chatbots or fixed phone trees, and can automatically log ticket history and

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    #company#Tutorials / practice#Agents#English text is being prepared.
  2. LiveKit Product and Engineering Blog

    How LiveKit builds production-grade AI voice agents

    LiveKit has released a guide sharing the experience of its solutions architects and forward-deployed engineers in helping customers move voice agent POCs into production systems, centered on three questions: whether the agent is smart and natural enough, whether production performance can be observed, and whether it can scale reliably and at low cost. The guide offers 7 methods, including measuring first-turn response latency separately, splitting context into the part needed for the greeting and the part loaded in the background, and enabling turn_detection=inference.TurnDetector() and adaptive interruption handling by default.

    Sequence diagram of an agent handling an async claim status lookup: it starts the lookup in the background, keeps talking with the caller, and reports back once the lookup finishes

    LiveKit has released a guide sharing the experience of its solutions architects and forward-deployed engineers in helping customers move voice agent POCs into production systems, centered on three questions: whether the agent is smart and natural enough, whether production performance can be observed, and whether it can scale reliably and at low cost. The guide offers 7 methods, including measuring first-turn response latency separately, splitting context into the part needed for the greeting an

    Matched fieldsTitle、Summary、Body

    #company#Tutorials / practice#Speech#Agents

Thursday