DCL Evaluator – Cryptographic audit trail for AI agent decisions

Summary: DCL Evaluator provides cryptographic proof of every AI agent decision by generating deterministic, tamper-evident, and bit-for-bit reproducible audit trails. It evaluates outputs against user-defined policies and creates a SHA-256 hash chain for each decision, ensuring verifiable integrity.

What it does

It produces a cryptographic audit trail by hashing each AI decision and chaining it to the previous one, verifying compliance with policies. It supports models like Ollama, Claude, GPT-4, Grok, and Gemini and operates fully offline on desktop.

Who it's for

Ideal for developers and organizations needing verifiable, tamper-proof records of AI agent outputs under regulatory scrutiny.

Why it matters

It solves the problem of unverifiable AI decisions by providing deterministic, reproducible proofs that prevent tampering and support compliance.