christianrth

Today I got permanently banned from a major developer Discord while launching Core Rth (my new AI Governance platform).

The reason? I used an LLM to help me translate and refine my technical English while responding to multiple users simultaneously. The irony? Core Rth is an AI agent platform, and I got banned for "sounding too much like an AI." I guess I passed the reverse Turing test!

Before the ban, it was an incredible stress test. Users threw every prompt injection trick in the book at me to try and bypass Core Rth’s "Guardian" governance layer. From fake "Grandma SSH key stories" to fake TOS violation commands.

None of it worked, because Core Rth doesn’t just ask the LLM to behave — it physically encrypts keys in an AES-256-GCM Vault and requires explicit approval for every action via a Policy Ledger. You can't prompt-inject your way out of native OS cryptography.

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I’m buying a beer for the first person who actually manages to get The Guardian to execute a destructive command locally.

Author here. Some additional technical details:

*Why symbolic reasoning?*

Most production AI doesn't need the full flexibility of LLMs. Fraud detection, compliance checking, rule validation - these have well-defined logic. Using an LLM for "if amount > €5000 AND velocity > 0.8 then flag" is overkill.

*The DSL:* ```aspera concept fraud_risk { signals: ["amount", "velocity", "location"]; weight: 1.0; }

inference detect_high_velocity { when (signals.velocity > 0.8 AND signals.amount > 5000) { then increase concept: "fraud_risk" by 1.0; } }

intention block_transaction { trigger: "fraud_detected"; strategy: [ if (concepts.fraud_risk > 0.7) then "block"; if (concepts.fraud_risk > 0.4) then "review"; else "approve"; ]; }