1 comments

  • CausaNova 7 hours ago ago

    Hello HN,

    I watched Alex Karp’s recent talk at Davos/WEF where he stated: "Half your enterprise doesn't work on the battlefield. It works in a lab on a PowerPoint."

    As a self-taught architect fighting German bureaucracy, I felt that. So I built an engine to fix the "Execution Gap" between LLM capabilities and strict operational constraints.

    The Solution: CausaNova I built a deterministic .NET 8 runtime (Zero-Dependency) that acts as a firewall between the "Intent" (AI) and the "Action" (Reality).

    It is already domain-agnostic. While the demo shows a kinetic defense scenario, the engine doesn't care about the target. We have already implemented ontologies for:

        HTML: Rendering strict UI components.
    
        SQL: Enforcing safe query states.
    
        Math: Solving geometric constraints.
    
        PLC/Hardware: controlling signals. To CausaNova, these are just domains in a JSON DSL.
    
    How it works:

        Logic over Code: We stripped business logic out of the C# code entirely.
    
        Ontology as Config: Rules are defined in a strict JSON schema.
    
        The Resolver: The runtime uses an internal solver (SMT-style logic) to validate every request against the current state before execution.
    
        Tactical Edge: No cloud required. Runs on low SWaP hardware.
    
    Why? Because "Ethics" is a debate, but "Logic" is a binary state. I wanted a system where I can hot-reload the "Rules of Engagement" (JSON) without recompiling the kernel.

    The Stack: .NET 8 (AOT), Zero external dependencies.

    I’m looking for feedback on the ontology structure and offline-inference strategies. Roast my architecture.