The idea, the mark, the toolkit, the founder’s own shelf, and the full specification — everything that used to sit on the front page, in one place.
Institutional credentials work as pre-paid trust: a reader extends the benefit of the doubt because an institution already vouched for the author. People without credentials have had no comparable way to earn a hearing. Earned Trust proposes the alternative: make exactly how a work was produced open to inspection — what the AI did, what the human directed and checked, and the records to prove it. It offers a hearing, not a verdict; checkability, not a warm reception. The work still has to survive scrutiny. The point is that it finally gets some.
Earned Trust is a disclosure standard for AI-assisted work. Its instrument is the AIast mark — a compact, checkable record of which AI services were used, what each did, and how the work was checked — backed by an evidence commitment: the working records are retained and capable of production. Anyone with a valid reason may petition to review them; access stays under the author’s control. Whether to open the working record for any particular person is, and stays, the author’s choice — the standard assigns no cost to declining. Four honest answers are recommended practice, not a requirement: the scoped evidence, a redacted excerpt, a reasoned refusal, or an honest “unavailable.” Retention is a commitment; production is a choice (v1.14).
The name signs the work; the mark signs the disclosure. Five role letters — i ideation · d drafting · c critique · v verification · s source retrieval — and a count of the services used. Not a score. Not a confession. A credit roll: every record and every film ships with credits naming who did what. This is that, for thinking work. Authors working outside the credentialing system of their field may add the optional LI- prefix (LI-AIast3) — self-applied, descriptive, and claiming nothing about the worth of the work.
Step one is knowing which AI you have and what it can really do — that decides which road you take, and it sets honest expectations for your project across free and paid tiers. Opinion from use, dated and signed, with the day-one check you can paste into any AI before you begin.
Read the Field NotesThe same protocol plus its accessories: the folder builder, the session logger, the link maker, and the sealer that makes your records tamper-evident with published fingerprints — plus templates and an offline Reader. Free, offline, no accounts. It shines on a computer — and on a phone you can hand the whole zip to a code-running AI and it works the tools for you.
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This method isn’t theory: every paper the founder has deposited was produced under it — drafted, attacked, verified, and published with the AIast mark on the disclosure, an Earned Trust Record traveling with the work, and the full working archive sealed in the Record Vault. One early essay, Who Gets to Think?, predates the record-keeping practice and is labeled exactly that in the vault — the honest label is part of the standard. Read the works, scan their records, check the fingerprints. The catalog is the standard’s first proof.
Visit Lost Innovators →The full specification — the mark, the threshold, the evidence package, conformance, failure modes, and its limits. Openly licensed, permanently archived, version-controlled.
Read on Zenodo →