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How to use TypeSafe's System One API
For agents: TypeSafe System One API docs for Jev, a model giving fast, structured, typed answers to software; includes quick start and use cases.
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# TypeSafe
> How to use TypeSafe's System One API
- [Introduction](https://docs.typesafe.ai/introduction.md): Jev is TypeSafe's flagship model and the first System One model. Send state and typed questions; get structured answers your code can use directly.
- [Quick start](https://docs.typesafe.ai/introduction/quickstart.md): Get up and running with Jev in 5 minutes.
- [Jev with coding agents](https://docs.typesafe.ai/introduction/coding-agents.md): What Jev is (and isn't) when you're using a coding agent.
- [Example use cases](https://docs.typesafe.ai/concepts/use-case-map.md): Explore TypeSafe use cases by industry and turn promising ideas into software workflows.
- [System One](https://docs.typesafe.ai/concepts/system-one.md): System One models make fast, structured decisions for software. Jev is TypeSafe's flagship model and the first System One model.
- [State](https://docs.typesafe.ai/concepts/state.md): What state is, how to structure it, and how to give a System One model the context it needs.
- [Primitives (Questions)](https://docs.typesafe.ai/primitives.md): The TypeSafe question types, the typed answers they return, how to choose between them, and how to ask several at once.
- [Choice](https://docs.typesafe.ai/primitives/choice.md): A Choice is a System One question type for selecting one option from a defined set. The answer includes the selected option, a probability for each option, and confidence.
- [Score](https://docs.typesafe.ai/primitives/score.md): A Score is a System One question type for rating content against ordered, descriptive levels. The answer includes a score, a probability for each level, and confidence.
- [Noul](https://docs.typesafe.ai/primitives/noul.md): A Noul question asks the TypeSafe model to evaluate a yes/no question and return the probability that the answer is yes.
- [Box](https://docs.typesafe.ai/primitives/box.md): A Box is a System One question type for finding where something is in an image. The answer is the four edges of a box around it, as fractions of the image's width and height.
- [Advanced: structure](https://docs.typesafe.ai/primitives/advanced.md): Instructions, Choice options, Score levels, and Noul criteria all accept JSON structure.
- [Images](https://docs.typesafe.ai/images.md): Send images in a System One request: in the state, inside a question's instructions, and as the criteria a question is judged against.
- [Confidence](https://docs.typesafe.ai/confidence.md): How TypeSafe reports certainty, how it differs from probability, and how to use it to control system behavior.
- [How to build with TypeSafe](https://docs.typesafe.ai/concepts/how-to-build-with-system-one.md): Design AI-powered software by keeping code in control and giving System One narrow, structured decisions.
- [AI primer](https://docs.typesafe.ai/introduction/machine-learning-primer.md): Why TypeSafe trains decision models with calibrated probabilities instead of optimizing for generated text.
- [Patterns](https://docs
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