Episode 13 · Planned
SYSTEM 1 and LLMs on labeled decision tasks
Compare typed and LLM decision approaches on one versioned labeled task contract.
Compare Jev by TypeSafe AI with selected LLM approaches on the same labeled classification, routing or scoring tasks. Use Jev's typed decision forms, such as Choice, Score and Noul, only where they match the task contract. Define the decision inputs, allowed outputs, ground truth and scoring rules before running either system. Report decision accuracy, calibration where applicable, abstention or invalid outcomes, latency and cost. Keep this study separate from general text-generation rankings because it tests decision behavior under a shared task contract.
Evidence: versioned labeled task set, adapter or API configuration, exact decision schema, per-example outcomes, aggregate metrics with uncertainty and an error analysis. Product-specific integration details remain contingent on the selected Jev interface and version.