
Artificial Intelligence
Wethosai Opens Stuart Mcclures Twin To The Public
Anyone can now question the model WethosAI built with its founder
IRVINE, Calif., Sept. 24, 2026 (GLOBE NEWSWIRE) -- WethosAI has opened the Twin of its founder and CEO, Stuart McClure, to anyone who wants to talk to it. Bring it a hard decision, push back on its answer, and see how it works through a problem.
McClure trained the Twin himself. He started it from a behavioral and cognitive profile, added context he chose to share and gave feedback on its responses.
“Companies have years of emails, decks and call recordings from their leaders. That tells you what someone said before. It doesn’t tell you how they’ll think through the next decision,” said McClure.
People can ask the Twin about cybersecurity, AI investment or a problem of their own. Its answers come from the model, not from McClure, and he hasn’t reviewed them in advance. Questions he’s never answered publicly are the most interesting ones to try.
That conversation puts one model to the test. In a Decision Simulation, WethosAI brings models of the people who would approve, challenge or carry out a consequential decision into the same rehearsal. Teams can change the conditions multiple times and see how the decision may unfold before acting.
In a wire-fraud scenario, an attacker posing as the CEO emails the controller late on a Friday asking for an urgent transfer to a new vendor. A security team can run that scenario with modeled versions of its CEO, CFO, controller and treasury staff and examine how each may respond. Then they change the conditions and run it again limitless times to find where verification, approval or escalation may break down.
Companies bringing AI agents into their workforce can use it the same way. If an agent starts approving routine vendor payments, they can rehearse how modeled finance managers may review or challenge its reasoning, change the conditions and run it again.
WethosAI can model specific people on or off the platform using lawfully available information and customer-approved context. A Twin, like McClure’s, is a richer model trained with the person’s permission and participation. Expert Agents add specialist or adversarial perspectives to a simulation; they do not represent a specific person.
The models are built for rehearsal and preparation. People retain authority and make the decisions.
Organizations that want to rehearse a decision with the people around it can request a demonstration. WethosAI introduced Twins in August 2026.
About WethosAI
WethosAI is the Human Context Platform. It models how specific leaders, teams and stakeholders may think, communicate, decide and respond so organizations can rehearse consequential decisions before acting. Built on more than four decades of behavioral science and proprietary Human Context models, the platform supports preparation while judgment and authority remain with people. WethosAI is headquartered in Irvine, California. Learn more at wethos.ai.
Media Contact
Heather Barnett | heather@wethos.ai
Frequently Asked Questions
What is WethosAI?
WethosAI is a Human Context Platform that models how specific leaders, teams, and stakeholders may think, communicate, decide, and respond. This enables organizations to rehearse consequential decisions before acting, leveraging behavioral science and proprietary Human Context models.
How does the 'Twin' feature work?
The 'Twin' is a rich AI model of a specific person, trained with their permission and participation, using their behavioral and cognitive profiles, and chosen context. Users can interact with the Twin, like the founder's, to test decisions and understand its reasoning without pre-approved answers from the person it models.
What are the key benefits of WethosAI's Decision Simulation?
Decision Simulation allows teams to bring models of people involved in a decision into a rehearsal, changing conditions multiple times to see how a decision may unfold. This helps identify potential breakdowns in verification or approval processes, improving preparation for scenarios like wire-fraud or AI agent integration, while people retain final authority.
First published on Fri, Sep 25, 2026
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