LifeScribeAI: Your story, forever written.

An emotionally powerful platform that preserves human memories through conversation with Ari, a voice AI, and shares them with family through a legacy access system.

Project stage: Live product.

LifeScribeAI product interface

The starting point

Preserve human memory, emotion, and legacy with AI, without watering down something deeply personal into a note-taking app. The product needed to connect the conversation to a memory library and controlled family access.

What TDAT built

A conversational memory platform built around Ari, a voice AI users literally talk to: calls are transcribed and mined into a structured library of memories, reflections, goals, and values. AI-personalized daily questions keep the story growing, and a two-sided legacy system lets family members be invited in to experience those memories.

What happens after the conversation ends

Make the conversation useful again. The transcript screen separates Ari’s words from the person’s words. It can display suggested memory highlights and lets a person save a passage as a memory or expand it into a longer story. That connects an individual moment in a conversation to the larger library. A transcript is therefore more than a call receipt: it gives the person a way to choose what deserves another look.

Keep audio failure separate from the transcript. The recording player has distinct preparing, ready and failed states. If the audio cannot load, the interface says Recording unavailable, offers a retry and explains that the transcript below is unaffected. This avoids presenting an unavailable recording as an endless loading message. It also keeps one failed part of the experience from obscuring the material that is still available.

Make sharing a separate choice. The recording area includes a family-sharing control with different labels for shared and private states. If its update returns an error, the interface restores the previous selection and asks the person to try again. Capturing a story, saving a memory and sharing a recording are separate actions. Those distinctions matter when the material is personal. The access rules behind the controls need to be tested separately from their appearance.

Apply the lesson to another voice product. Define the useful artifact that remains after a call, then design how a person reviews, retrieves and shares it. Ask TDAT to build the transcript, saved result and failure recovery as part of the same scope as the voice interaction. The product’s value depends on what someone can do with the conversation afterward.

What comes next

Formalizing the growth engine: subscriptions, streaks and habit loops, and deepening the legacy-listening experience for families.

Hire TDAT to own the implementation.

Bring us the current product or the workflow you need. We will define the investigation, delivery scope and acceptance evidence before implementation.

Hire TDAT for your project

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