Voice and video bring a feeling of presence to AI. Practical quality depends on latency, turn-taking, captions, licensed likenesses, audio controls and the ability to keep talking when a connection changes.
Treat the avatar as the front end, not the intelligence itself. Build a robust text and audio experience first, then add visual presence where it improves a task.
Voice pipelines balance speech recognition, language generation and speech output with latency, observability and consent.
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An avatar is a presentation layer; the knowledge source and human escalation make the service trustworthy.
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Presence comes from continuity, clear turn-taking and honest character identity, not claims of human consciousness.
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Phone agents require secure account checks, respectful interruption handling and a clear human escape route.
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A voice agent is not simply a text chatbot with a speaker; turn-taking, background noise and speech privacy reshape the design.
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The most credible avatar is branded, clearly artificial and supported by accurate underlying content.
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Use video where visual explanation improves task success, not merely because it creates spectacle.
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Personality consistency requires shared source content, session context and explicit boundaries.
Read the guide →The guides explain potential conversational-AI use cases. Check each live product for currently supported features.
