LiveSelf

Approach

Digital twins usually fail because they try to be general-purpose. LiveSelf narrows the scope: your AI self only answers questions it has been trained to answer, in your tone, with guardrails. The rest it escalates. That makes it actually deployable.

Problem

People can't scale their attention. Executives, founders, and creators miss messages, skip community engagement, and can't be 'everywhere' they want to be — even though they'd love to.

How I built it

• ▸Knowledge-base ingestion from the user's own documents, recordings, and social content.
• ▸Voice cloning for audio responses.
• ▸Tone mimicry tuned per channel (Slack vs email vs DM).
• ▸Human-in-the-loop escalation for anything outside the trained scope.

Outcome

• →Active development — foundational architecture in place.
• →Plays directly into the broader AI-twin thesis (see Phantm, /chat).

Stack