When machines speak for us, they should know who we truly are.
In plain English: search and AI now speak for your business before you get the chance. What they say depends on the record they can find — the claims, the context, the evidence. This is where the record gets made true, and where the humans behind the business learn how.
Start with what can be known
Every answer an AI gives about a business rests on a record. The work here is built as a ladder — four rungs between a claim and the truth, each one checkable.
Claims
What is being said — the statements in the wild about a business or a person.
Context
What surrounds the claim — the who, where, and since-when that give it meaning.
Evidence
What supports it — the records a checker, human or machine, can actually inspect.
Correction
What happens when it’s wrong — a way to set the record right that travels as far as the error.
Who is this about?
The first failure is a mix-up — the wrong person attached to the wrong story.
What is missing?
A true claim with its context stripped out can mislead as well as a false one.
What supports it?
If nothing inspectable supports a claim, it’s a story — not a record.
What if it is wrong?
Corrections travel less far than errors. The system has to carry them.
What the lab works on
Entity veracity
What the machines believe about a business or a person — and whether it’s true. Identity, evidence, and the record search and AI systems read from.
Search in the AI era
How answers get retrieved, ranked, and cited when an AI responds first — and what a business has to be, structurally, to be the answer.
AI-run operations
The AI Operating System corpus: how agentic systems are structured, directed, and audited — direction down, teams across, evidence back up.
Built here, running live
Entity Veracity Hub
Russell M. Wright’s operational centre for entity health, tracking, and reporting — what is known about an entity, what is running or paused, and what needs attention.
Entity Veracity, Vol. I
The technical manual behind the Hub — how AI shadow inference verifies reputation and identity, in 22 chapters, published in full online.
Eureka — the Gain Score
An evaluation system for AI-era content, built to resist gaming: originality, insight density, and machine-readability, scored the way the machines actually read.
Russell M. Wright
The systems guy behind the research.
Twenty-plus years studying how software interprets language, relationships, and intent. Russell’s work traces the field from the keyword era of search through entity-based retrieval to today’s AI interpretation era.
He wrote the Entity Veracity Hub, authored Entity Veracity, Vol. I, and leads the research this site publishes.
Where practitioners train
Move 37 Mastermind
The advanced room: research and development worked on real businesses, live. Teaching rotates through the room — Daryl Osborne leads most sessions, Russell or Kalyn teach when he’s unavailable, and guest speakers join.
Local Agency Elite Training
Agency-only training — agency operations, AI’s effect on agencies, and client-getting, with Map Engine Optimization at the core. 109 members as of November 8, 2026, coached by Kalyn Wright, Russell M. Wright, Jordan Coyle, and Corey Rose.
One hub, five shelves
Russell has been publishing the research as live builds for years. The library organizes them — every shelf a reading path into the work, not a dump of links.
Entity Veracity & Trust
The complete Entity Veracity, Vol. I online, the Hub, the stacks, and the Rising Tide mesh.
Shelf 01 · 58 builds linkedEureka
The Gain Score system and its origin story — an AI evaluation built to resist gaming.
Shelf 02 · 11 builds linkedThe AI Operating System
The SLOS teaching corpus — how AI-run operations are structured, given memory, and audited.
Shelf 03 · 75 builds linkedThe Method
The Everything Funnel, the Software Factory, and the strategy shelf — how the work is run.
Shelf 04 · 17 builds linkedProof
Client work and proposal packages as case material, and the partner technology the work runs on.
Shelf 05 · 19 builds linkedBefore you ask
What is Super Intelligent AI?
Who is it for?
How do I join?
I want the work done for me. Is that here?
The Team Human principle
Full access
Move 37 Mastermind, Local Agency Elite Training, the research library, and the member rooms — the whole board.
Local Agency Elite Training
The agency-training room on its own — operations, AI’s effect on agencies, and client-getting.