Build with TypeSafe

TypeSafe's Jev, the first public System One model, answers typed questions about state your application supplies. State is the text, images, and application data your code sends with a request. Jev can answer a Choice among options, a Noul (the probability that a statement is true), a Score on levels you describe, or a Box that locates something in an image. Each answer comes back as typed data with calibrated probabilities, for your code to use.

The rest of this skill is guidance: patterns that tend to produce reliable integrations. None of it is absolute. Models change, applications differ, and edge cases exist. When a situation calls for something else, test the alternative and use your judgment.

Judgments from Jev, decisions in code

Integrations tend to work best when Jev makes the judgments and code decides what to do with them. Think of each decision as a truth table. Jev supplies the inputs, such as "Does the customer sound frustrated?" or "Which product is the message about?". Code holds the logic that maps those inputs to an action.

A question that asks Jev to make the decision, such as "Should this ticket be escalated?" or "What should the agent do next?", usually means the question is at the wrong layer. Instead, break the decision into the judgments it depends on, and write the decision itself in code, where it's visible and testable. Writing out the table often shows gaps in the business logic too. A combination of judgments with no defined outcome is a design question about the system, and it is best settled in code.

Live docs

The live docs are the source of truth for request syntax, SDKs, question types, limits, and current model behavior. Read the relevant pages as part of the task.