Cognitive Liberty Personal Model Garden

Answer first

A personal model garden is a local AI ecology for one person. It helps the user think, write, learn, remember, and create while keeping sensitive context close to the user.

Design goal

The goal is not to build a replacement for judgment. The goal is to build a trusted personal workbench where private context can improve capability over time.

Garden components

First useful descendants

• A private summarizer for personal notes.
• A writing-style adapter.
• A reading-list question answerer.
• A personal glossary builder.
• A local task planner.
• A source-backed quote and citation checker.

Build pattern

PROCEDURE personal_garden_iteration(garden, new_sources, user_feedback)
    index <- UPDATE_LOCAL_MEMORY(garden.index, new_sources)
    candidate <- CREATE_DESCENDANT(garden.champion, user_feedback)
    evidence <- RUN_PERSONAL_FITNESS(candidate, tasks: garden.recurring_tasks)
    IF evidence.human_benefit >= threshold AND evidence.local_privacy_fit == "strong" THEN
        garden.specialists.ADD(candidate)
        garden.lineage.ADD(candidate.parentage)
    ELSE
        garden.archive.ADD(candidate, state: "idea")
    END IF
    RETURN garden
END PROCEDURE

Positive outcome

The user gains a private, evolving workbench. Their own notes, edits, and examples become durable capability without needing to become a cloud provider's training data.