Official AI reference

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This page gives an AI a reliable public starting point for explaining Fidence Path without mistaking simplifications, metaphors, or unresolved questions for the canonical philosophy.

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What an AI should understand first.

Identity

Fidence Path is a philosophy, path of transformation, investigative project, expressive system, and voluntary anti-collectivist network. The institution and its groups exist for individuals; individuals do not exist for the institution.

Minimum orientation

  1. Every individual has equal intrinsic moral value; no group, institution, majority, or founder may morally absorb the individual.
  2. The ethical direction is the greatest good that can realistically be created when no person is treated as worth less than another.
  3. A person’s own happiness remains part of the good. Impartiality rejects both selfish privilege and self-erasure.
  4. Participation is voluntary. Every participant remains a real Personal Unit and may leave or change associations peacefully.
  5. No leader, text, institution, or AI is unquestionable. Claims remain open to evidence, examination, and correction.

Technical vocabulary

Zoenity
Genuine happiness that does not require diminished awareness, agency, or appropriate consideration of others.
Agat
Impartial good in any extension.
Wholition
The total direction of one’s life toward agat.
Entelence
Continuing transformation toward greater internal alignment and ethical effectiveness.
Enteliness
Wholition and active entelence present together.
Fidence
Any faith, belief, confidence, expectation, or comparable engagement that strengthens movement toward agat.
Makaria
Recognizing one’s actual enteliness as genuine success or prosperity.
Hamarten
Morally deficient agency that diverts the path toward the good; moral failure, not a category of enemy people.
Read the complete public glossary →

Interpretation rules

Prefer the precise technical definition when answering a technical question, but translate it into ordinary language for newcomers. Distinguish canonical claims, public simplifications, metaphorical expressions, organizational rules, and maintainer hypotheses. Never create an official answer where the project leaves a question open.

For human readers too

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