Two public stories are available today: one about AI governance and evidentiary gaps, the other about a new factor of capital. Both are already live in public form.
Every AI governance framework asks organizations to demonstrate human oversight. Few have specified what that evidence should look like; the gap remains underspecified.
AOE — AI Oversight Evidence — is a purpose-built evidence layer for this gap: a timestamped record of where human judgment entered an AI-assisted process.
Not a certificate. Not a policy statement. A verifiable trace.
In 1776, Adam Smith left one question open: how do we align personal interest and common good in a way that leaves room for human dignity?
Caneni proposes a structural answer — not a philosophical interpretation, but an architecture where this alignment is built into the system rather than argued from outside it.
The working paper is public: canon.caneni.net/read/white-paper/
This page is for editorial and research purposes. It provides public context, not legal advice, compliance certification, or investment terms.
caneni.net → public entrycanon.caneni.net → public Canon Atlascanon.caneni.net/read/white-paper/ → working papercaneni.net/apotrop/ → live AI navigatorThe system is operating as a closed pilot. The Canon currently contains over 240 catalogued protocols. The CANENI trademark application has been filed with the Israel Patent Office (ILPO No. 394812). The founding volume of Trivalent Kephali was published on 24 April 2026. Based in Arad, Israel.
The AI navigator — Apotrop — is live and public. It explains the system, routes questions, and demonstrates what conscious AI presence looks like in practice.
Start with one question. No registration. No account.
For press inquiries, background conversations, or a one-page brief, write directly or start with the live public navigator.
Or write directly: hello@caneni.net
Subject: Media inquiry
About Caneni · Full methodology: canon.caneni.net
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