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Dari Rinchleft a comment
Curious what's the biggest pain point for you when auditing agent behavior — is it reproducibility, policy compliance, or something else entirely?
DCL EvaluatorCryptographic audit trail for every AI agent decision
Can you prove what your AI agent actually decided?
DCL Evaluator gives you cryptographic proof of every LLM decision — deterministic, tamper-evident, bit-for-bit reproducible.
Every output is evaluated against your policy. COMMIT or NO_COMMIT. Each decision gets a SHA-256 hash, chained to the previous one.
Works with Ollama, Claude, GPT-4, Grok, Gemini. 100% offline. Desktop-first.
DCL EvaluatorCryptographic audit trail for every AI agent decision
Dari Rinchleft a comment
Hi Product Hunt! 👋 I'm Dari, indie developer from Siberia. I built DCL Evaluator after realizing there's a blind spot in every AI pipeline: you can log what an agent said, but you can't cryptographically prove it. Probabilistic guardrails help, but they're not reproducible — same input, different answer. DCL is different: deterministic policy engine + SHA-256 hash chain = tamper-evident audit...
DCL EvaluatorCryptographic audit trail for every AI agent decision