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TLDT helps you use reviewed career evidence for a real vacancy or interview. Check how your experience maps to the role, rehearse the conversation, and test what your published AI profile can answer without inventing facts. Career Memory is the reusable asset behind these workflows. You decide what enters it, what stays private, and which reviewed version becomes available to Fast Check, Simulate, and an optional public profile.
1

Prepare a small, accurate Career Memory

Add evidence you trust, review visibility and sensitivity, then publish and activate a usable version.
2

Bring a real role

Run Fast Check to separate supported fit, partial fit, real gaps, and missing proof.
3

Rehearse or test

Use Manual Simulate to practice your own answers, or Auto Simulate to test how the published AI profile represents you.
4

Review and reuse

Keep useful evidence under your control. Saving a session to Raw Memory is always an explicit owner action.
5

Share only when useful

Optionally let a recruiter explore the same reviewed context through Public Chat, Public CV, Fast Check, or a saved snapshot.

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What you can do today

Check a real vacancy

See where published evidence supports the role, where fit is partial, and where TLDT needs more proof.

Prepare for the interview

Run a role-specific HR simulation in Manual or Auto mode and review the final report.

Build reusable Career Memory

Organize owner-supplied evidence, review AI-assisted drafts, and publish only the version you approve.

Represent yourself selectively

Give visitors controlled access to approved context without exposing private drafts or granting the AI authority to commit for you.

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Choose your next step

If you already have active published Memory, start with Fast Check, then choose Manual or Auto Simulate. If you are new, get started with the smallest evidence set that supports this role.
TLDT supports preparation and first-person representation. It does not predict hiring outcomes, apply for jobs, negotiate, promise interest or availability, or make decisions for the owner.

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Start with one real role

Get started

Create the smallest accurate Memory that can support a useful role check.

How TLDT works

See how one reviewed Memory version powers private preparation and optional public representation.