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Documentation Index

Fetch the complete documentation index at: https://docs.mrassistant.ai/llms.txt

Use this file to discover all available pages before exploring further.

MrAssistant AI is built around realtime, conversational experiences. In most B2C setups, the customer interacts through your app or website, while your services coordinate sessions, agent configuration, and downstream integrations.

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Mental model

  1. Configuration — You define how the assistant should sound, which languages apply, and which high-level capabilities are in scope.
  2. Sessions — A session is the unit of a customer attempt: one guided flow or conversation.
  3. Media path — Audio and timing depend on the realtime stack you connect; treat that as a product decision alongside UX and support.

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Web and mobile clients

Keep business rules and integration logic on systems you operate, not embedded in static client bundles. Clients should focus on capture, playback, and UX, while your backend decides what the assistant may do next.

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Regional and reliability planning

Voice is sensitive to latency and distance. When you move from pilot to production, plan for where traffic runs and how you observe quality (drops, silence, user retries).

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Next steps

Voice and providers

Multilingual