Show HN: System One Harness (SOH), the harness for System One models (github.com)

System One Harness (SOH) has introduced a new tool designed to transform System One decision models into agent loops, enhancing their functionality and usability. This tool observes environments, compiles actions into typed questions, and executes decisions based on confidence probabilities. The first model integrated is Jev by TypeSafe, which can be accessed via OpenRouter or TypeSafe directly. This development is significant for the AI/ML community as it facilitates more structured and confident decision-making processes, providing complete traces of model actions, probabilities for each step, and results that reveal the models' performance in real-time environments. The System One Harness allows users to run a variety of environments—local programs, web browsers, and MCP servers—integrating them seamlessly into existing systems. By defining finite actions, users can dictate specific tasks while ensuring that the model adheres to risk thresholds for various actions. This structured approach not only enhances the reliability of model decisions but also enables a detailed recording of state, questions asked, and outcomes achieved. Overall, SOH represents a significant step toward creating more robust AI agents capable of navigating complex environments and executing tasks with clearer accountability and transparency.