Typed, calibrated decisions from any LLM: yes/no, choice, rating and grounded extraction with honest probabilities. Claude, GPT, Gemini, vLLM, Ollama or Hugging Face. Jev-compatible API server.
A drop-in confidence gate for LLM agents: turn token logprobs into an accept / verify / ask-a-human routing decision, with honest per-model calibration. Local & open-model first, plus an MCP server.