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Part of the AI operating layer Mentor agent · Active

Better questions,
sharper decisions

Mentor doesn't just answer. It frames trade-offs, holds you accountable to your goals, challenges shaky logic, and helps you decide with clarity — not impulse.

Mentor agent glass visual

What Mentor does for you

An agent for thinking, not just answering. Built to make you sharper, not more dependent.

Decision frameworks

Eisenhower, expected-value, regret minimization, pre-mortem, second-order thinking. Mentor picks the right frame for the decision you face and walks you through it.

12+ frameworksAuto-pickedReusable

Goal coaching & check-ins

Create goals, break them into concrete steps and review progress when you choose. Mentor should explain its reasoning rather than claim to know what is best for you.

User-led cadenceReviewableNo false certainty

Trade-off framing

"Should I take the job in Berlin?" Mentor lays out the trade-offs — money, time, family, growth — across short and long horizons. Decision is yours.

Short × long termMulti-criteriaHonest costs

Growth challenges

Ask for an optional reflection prompt or small experiment connected to a goal. You decide whether it is useful and whether to keep it.

On requestGoal-linkedOptional

Goals and reflection with visible reasoning

This illustrative workspace is not a screenshot of the final release candidate. The verified focus is user-led goals, trade-offs, plans and reflection without fabricated certainty.

  • Create, review and delete owner-scoped goals
  • Ask for a decision framework with explicit assumptions
  • Review priorities and blockers when you choose
  • Use optional reflection prompts without manipulative confidence

Examples you can ask Mentor to prepare

Set goal Plan week Reflect Decision matrix Challenge me Check progress

Owner-scoped goals with transparent context

Mentor goals are owner-scoped and sensitive stored fields use application-layer encryption. The shared BASE conversation may route selected context to the specialist handling your request. Profile memory remains controllable, and BASE does not promise that external model providers never process submitted content.

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