← The Lost Innovators

The Framework

Earned Trust

What the marks on my work mean


The Lost Innovators is the body of work. Earned Trust is the method and disclosure system behind how that work is produced. Here is what that means, in plain language.

Trust in publishing has always been paid for in advance. A doctorate, a university affiliation, a title — these are tokens that tell a reader: someone has already vetted this person, so you can relax. The tokens work. But they only work for the people who have them.

I don’t have them. And I’m not alone — AI tools are now letting people outside the credentialing system do serious, checkable work for the first time. Which raises the honest question a reader should ask: if no institution vouches for this author, why should I trust any of it?

You shouldn’t — not on my word. That’s the point. Where a credential buys trust before the work, transparency can earn it after, by making exactly how the work was produced open to inspection. That’s what these marks do. On my papers the byline is just a name — William Stafford, Independent Researcher — because a disclosure is not a title, and it doesn’t belong dressed up as one. The mark stands in its own line on the work, beside the Earned Trust seal:

L.I. — Lost Innovator. A voluntary designation: this author is publishing without the credentials the field treats as a license to author. It asks one thing of you — judge the work on its evidence, not the author’s affiliations.

AIast3 — this work was produced with AI assistance, three systems, directed and answered for by the human author. The full accounting sits near the references, and it’s short enough to read in ten seconds:

AIast — Claude (i/d/c/v) · ChatGPT (d/c) · Perplexity (c)

The letters are jobs:

Then the line that makes it more than a promise: Working transcripts available on request. Every conversation behind the work is kept and can be produced. A vague “the author used AI” can’t be checked. This can.

The mark doesn’t ask you to trust me. It asks you to check.


Where AIast sits in the landscape

AI Disclosure Standards Compass

An eight-body comparison of AI-disclosure requirements — snapshot, July 2026

Want to work this way yourself?

The Method — eight steps, one rule

The plain-language version, with the full guide on Zenodo

Want the full specification?

Earned Trust: Verifiable Disclosure as a Credential-Substitute for AI-Assisted Work

View on Zenodo → doi:10.5281/zenodo.20719927