All work
Voice AI2026

Memori

A voice-to-voice learning system for words, phrases, and real dialogue practice.

Memori turns language study into a live spoken interaction. The work centered on LiveKit research and a deliberately shaped realtime voice architecture with hooks into custom learning logic.

Status
Private client project
Engagement
Voice architecture and implementation
Technical context
LiveKit · Voice AI · Realtime audio · Custom business logic

The brief

Voice practice is not a generic assistant call. Each mode needs its own turn-taking, correction, repetition, progression, and recovery rules while still feeling like one uninterrupted conversation.

Engineering work

  1. 01

    Evaluate LiveKit-based approaches for latency, interruption, session control, and observability.

  2. 02

    Design distinct voice-to-voice modes for vocabulary, phrases, and dialogues.

  3. 03

    Expose reliable hooks where product-specific learning logic can steer the realtime session.

Outcome

A private client system with a voice architecture shaped around the learning product rather than around a generic demo. The resulting interaction model and implementation were received enthusiastically by the client.

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Tell us what needs to ship, what is stuck, or what the current codebase can no longer support.

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