Earned Trust

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. Mine read:

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:

The letters are jobs:

• i — ideation. A thinking partner.
• d — drafting. Producing text.
• c — critique. Attacking the work to find its weaknesses.
• v — verification. Checking claims against outside sources.
• s — source retrieval. Finding and summarizing existing work.

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.