Meet Buffaly.

As Buffaly sees codes, programs, patients, tools, or workflows used in real tasks, it can move from raw strings into a working object model.

Operationally
What Buffaly learns about your payers, programs, systems, and exceptions becomes structure it can query and reuse. It stops rediscovering your business from chat history every session.

[SemanticEntity("remote care program")]
prototype RemoteCareProgram : CareProgram {
    String ProgramCategory = "Remote Care";
}

[SemanticEntity("APCM")]
partial prototype CareProgram#APCM : RemoteCareProgram {
    ProgramCode = "APCM";
    DisplayName = "Advanced Primary Care Management";
}

When a task repeats at scale, the runtime can close the gap by creating a more specific tool surface.

Operationally
The tenth time a case appears, it is a tool, not another prompt. Your team stops re-solving the same exception by hand, and the runtime gets measurably faster at your specific work.

prototype ToBatchCheckAPCMReadiness : Action {
    function Execute(Collection<Patient> patients) : BatchResult {
        foreach (Patient patient in patients) {
            // Loop natively without model involvement
        }
    }
}

Your business logic stays native. The agent selects the action; the runtime executes the real implementation.

Operationally
Buffaly works through software you already own: .NET objects, DLLs, databases, files, APIs, and internal services. You do not rebuild your operation as a pile of AI connectors just to make it useful.

public static class APCMReadinessChecker {
    public static Result Check(Patient patient) {
        return APCMRules.Evaluate(patient);
    }
}

prototype ToCheckAPCMReadiness : Action {
    function Execute(Patient p) : Result {
        return APCMReadinessChecker.Check(p);
    }
}

The model works with a reference, a handle like Patient#A17F, while the real values stay in runtime memory and your native systems.

Operationally
Buffaly can act on PHI, credentials, financial records, and internal state without copying those values into model context. The model chooses the action; the runtime holds the data.

{
  "name": "John Doe",
  "dob": "1954-03-12",
  "diagnoses": ["E11.9"]
}
// Sensitive data enters context.

Handle: Patient#A17F
Type: Patient
// Raw data stays in runtime memory.