Cruxible Core – Deterministic decision engine with receipts for agents
Auditable agent decisions via DAG receipts—unlike prompt-dependent LLMs, this proves reasoning.
Your logic, distilled into pearls. ⚪
Deterministic rule extraction from traces — same input always produces same output, no tokens.
Developers needing auditable decision logic without LLM unpredictability
Drools · Microsoft Rules Engine · OpenRules
Auditable agent decisions via DAG receipts—unlike prompt-dependent LLMs, this proves reasoning.
Fail-closed policy layer blocks LLM tool calls before execution, no LLM in decision path.
Verifiable decision replay for autonomous systems, but execution complexity limits adoption beyond safety-critical domains.
Framework idea without code, demo, or evidence that pattern detection actually works.
Five queries vector stores can't answer: why(), tensions(), blocked(), whatIf(), alternatives().
Prolog-based agent logic beats prompt chaining for real control flow.