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TLDT uses a simple publication boundary: you provide evidence, you review the context, and visitors can use only the published version.
Raw evidence flows into reviewed Derived Memory and then into a published runtime version

Memory moves through an explicit review boundary

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The three layers

Editing a draft never silently edits a live profile. Publish a new version and activate it when you are ready.

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What the public assistant can do

TLDT can answer questions grounded in published Memory, explain a supported interpretation when you enable it, and use bounded public research for eligible validated conversations. Answers may show provenance labels such as grounded, interpretation, or world knowledge. TLDT does not invent personal history, expose Private Memory, reveal source paths or internal traces, or accept a job, salary, schedule, or other commitment for you.

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Why this matters

The profile is designed for recruiter conversations, not as a generic chatbot or an automated hiring decision. It gives visitors useful context while keeping personal facts, boundaries, and publication decisions under your control.
When a fact matters, add it to Memory with the date, scope, actor, and source that support it. This gives TLDT something precise to use and gives you something precise to review.