🔐 LCM — Verifiable Decision Layer for AI Systems

AI systems can act.
LCM makes their decisions provable.

⚙️ Get Started

Run your first provable AI decision:

👉 http://localhost:3000/quickstart.html

🧠 What LCM Does

Traditional AI returns outcomes.
LCM adds proof.

• Deterministic execution
• Replayable decisions
• Policy-bound outcomes
• Cryptographic sealing

🛒 Example: AI Shopping

An AI agent executes a purchase.

But later — something is wrong.

Without LCM:

• No explanation
• No reproducibility
• No accountability

With LCM:

• Replay the decision
• Verify the logic
• Prove what happened

🔒 How It Works

INPUT → COMMIT → DERIVATION ROOT → OUTCOME

• Same input → identical result
• Any change → detectable
• Full replay → anytime

🧪 Proven

• 74/74 tests passed
• 300+ stress scenarios
• Zero-drift replay
• End-to-end audit

🚀 Try It

• Sandbox → http://localhost:3000/sandbox.html
• Explorer → http://localhost:3000/explorer.html
• Why LCM → http://localhost:3000/why.html

💣 Bottom Line

LCM does not make AI smarter.
It makes decisions defensible.