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FREE COURSE
A free course in nine short lessons: what System One models are, how they decide, and how to call, pull, run, check, calibrate, fine-tune and publish one, with a certificate at the end.
A model that reads a situation and answers typed questions, with a probability for every possible answer, instead of writing text.
When a decision model is the right tool, when a language model is, and how the two work together.
What happens inside a System One model: a score for every option instead of written text, and a temperature that makes the probabilities honest.
Create an API key, ask a model two questions over HTTP and from Python, and read the answers and your usage.
Install the CLI, find a model on the registry, and download only the files you need, checked and cached.
Run a System One model locally through OpenDXP, serve it over HTTP, and give it to an AI agent as a tool.
Why run a model as an OpenDXP package: prove it answers like its own code, measure it on your hardware, and fit its confidence to your own data without retraining.
Adapt a base model to your own decisions with System One Studio, and check that it got better on examples it never saw.
Put your model on the registry with one command, with its model card, evaluation and lineage, and learn how a model earns the OpenDXP compatible badge.
Finish all 9 lessons and claim a certificate of completion: a page with your name that anyone can check, an image to download, and a link that adds it to your LinkedIn profile. Claiming it needs an account with a verified email address.
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