AI basics for creators
Plain-language answers to how today's AI works: context versus training, where your material goes, why models get things wrong, and what "memory" really means.
What is an AI digital twin of a person?
An AI digital twin is a conversational AI trained on one real person's own material that answers in that person's voice and point of view. What it is, what it isn't, and how it differs from a chatbot.
→Context versus training: the difference that matters when you give an AI your material
Training changes an AI model's internal weights permanently. Context is material shown to the model while it answers one question and forgotten afterwards. Why the difference decides what happens to your work.
→Does uploading my work to a digital twin put it into ChatGPT or Claude?
No. Material you give an AccessMe twin is stored for your twin and shown to the model only when answering your twin's questions. It is not used to train any model, including the large public ones.
→How a large language model answers a question, and why it sometimes gets things wrong
A plain explanation of how large language models produce answers, what a hallucination is, why it happens, and how anchoring a twin to a person's own material reduces it.
→What "memory" means in AI, and what your twin actually remembers
AI 'memory' is not learning. It is stored information re-supplied as context. What a language model forgets, what a product can choose to remember, and how memory works for an AccessMe twin.
→Ready to build yours?
Every plan, including Free, includes an Advisor or Gatekeeper twin trained on your own material. Your content stays yours.