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Personal AI & attention
PrototypeLocal toolkit

Personal Signature

Turn your own writing and listening history into an evidence-based profile of your interests and voice.

Your music history, writing and other exports hold different kinds of evidence about you. Personal Signature organizes that material into a Content Profile and a Communication Signature, with visible gaps instead of invented certainty.

Explore the visual walkthrough ↗GitHub ↗
Personal Signature visual walkthrough, Own the model of you.
Public 125-slide walkthrough · opening slide
Portfolio lens

What this project demonstrates

Product move

Separated content interests from communication style instead of collapsing every signal into one personality score.

Signals

AI product framing · evidence provenance · privacy-conscious architecture · explainability

Constraint

Personal exports are sensitive, and different sources support different kinds of conclusions.

Inside the project

  1. 01

    Choose a small starting set

    Use one or two exports you are comfortable analyzing. You do not need every account.

  2. 02

    Organize the evidence locally

    The Python engine collects and normalizes your chosen files on your own machine.

  3. 03

    Review the two portraits

    A Content Profile describes interests; a Communication Signature describes how you express yourself. Trace conclusions back to evidence.

What to know before starting

This is a local Python toolkit, not an online personality test. The engine runs without network calls, but a cloud AI receives any content you give it. This page accepts no uploads.