Stories & Guides
How professionals define scope, approve sources and publish an AI presence they can stand behind. Short guides, trust explanations and stories from people building their own AI Twin.
Use Cases
A growing team can bring shared knowledge, specialist AI Twins, reporting and current work into one governed environment, without replacing the systems it already trusts.
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Guides
People search for an AI clone of themselves when they want their knowledge to answer while they are busy. Here is how to do it responsibly: from approved sources, with citations and with clear limits.
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Guides
A practical walkthrough for professionals: choose your public name, approve your first sources, set the scope and publish a link people can ask. Most people are live within an afternoon.
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Trust
Trust in an AI Twin does not come from sounding confident. It comes from three visible behaviours: it cites its sources, it stays within a defined scope and it declines what it should not answer.
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Getting Started
Three terms that sound alike and mean very different things. A chatbot answers anything, a digital twin simulates equipment, and an AI Twin makes one professional's approved knowledge available to ask.
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Published on OpenAI AcademyUse Cases
OpenAI Academy's website published how Dr. Paulius Jurcys used his own AI Twins, alongside general language models, in a law course at Vilnius University.
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Guides
A small, well chosen source library produces better answers than a large uncertain one. A practical way to select the first documents.
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Trust
Two behaviors carry most of the trust in a professional AI Twin. This is what happens behind each of them.
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Use Cases
Advisors repeat the same qualifying conversations constantly. An AI Twin can carry the repeatable part and hand over the rest.
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Creator Stories
A performance consultancy used an AI Twin so riders could get protocol backed answers between appointments, without turning clinicians into a 24 hour messaging service.
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Creator Stories
An independent wireless retailer turned scattered account documents into a conversational assistant staff can ask, without abandoning the files they already trust.
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Use Cases
A law school course run with AI knowledge twins alongside the instructor. What students actually used them for, what broke, and why the answer was never about replacing teaching.
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Creator Stories
After months of living alongside an AI Twin, the interesting questions are not technical. They are about identity, representation and what it means to be answerable for something you did not personally say.
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Trust
As AI systems get better at sounding like people, the question stops being whether they are convincing and becomes what they are allowed to do with the intimacy that produces.
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Guides
Search is becoming an answer rather than a list of links. That changes what it means to be discoverable, and it puts a premium on having something that can be asked directly.
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Creator Stories
Notes from a practical workshop in Helsinki where participants designed their own AI Twins, and why personal AI should work on the side of the individual.
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Setup, knowledge, sharing, messaging, and audience help live in the owner's guide, including AI Twin at a glance.
