🤓 Latest Submissions
GEM²-Crafter: Edge-Coding Orchestrator
GEM² Audit OS is an AI governance system for enterprises that need autonomous agents to act safely, explainably, and within auditable boundaries. In most AI workflows, humans are asked to manually review outputs after the fact. GEM² changes the control model: humans define the contract edge, and the system audits AI behavior at that edge. Each agent action becomes a contract-bounded transformation: `F: A → B | P`. Before execution, an input audit checks whether the runtime input satisfies the contract. After execution, an output audit verifies whether the result is grounded, compliant, and safe to continue. For security, GEM² integrates Lobster Trap as a governance gate: suspicious, unsafe, or policy-breaking behavior is trapped before it propagates through the workflow. For contract-based governance, Gemini is used as an audit intelligence layer, evaluating whether each step satisfies the declared contract, evidence, and postconditions. The result is not just an AI answer, but a regulator-readable audit record. The demo shows a four-layer audit page: contract definition, execution trace, security/governance gate, and evidence-backed audit verdict. GEM² is built for AI governance at the edge: AI can act autonomously, but every action must cross a verifiable boundary. Humans do not manually audit every decision; they define the rules, and GEM² produces reusable evidence for trust, compliance, and accountability.
19 May 2026
GEM² — AI Governance at the Edge
GEM² Audit OS is an AI governance system for enterprises that need autonomous agents to act safely, explainably, and within auditable boundaries. In most AI workflows, humans are asked to manually review outputs after the fact. GEM² changes the control model: humans define the contract edge, and the system audits AI behavior at that edge. Each agent action becomes a contract-bounded transformation: `F: A → B | P`. Before execution, an input audit checks whether the runtime input satisfies the contract. After execution, an output audit verifies whether the result is grounded, compliant, and safe to continue. For security, GEM² integrates Lobster Trap as a governance gate: suspicious, unsafe, or policy-breaking behavior is trapped before it propagates through the workflow. For contract-based governance, Gemini is used as an audit intelligence layer, evaluating whether each step satisfies the declared contract, evidence, and postconditions. The result is not just an AI answer, but a regulator-readable audit record. The demo shows a four-layer audit page: contract definition, execution trace, security/governance gate, and evidence-backed audit verdict. GEM² is built for AI governance at the edge: AI can act autonomously, but every action must cross a verifiable boundary. Humans do not manually audit every decision; they define the rules, and GEM² produces reusable evidence for trust, compliance, and accountability.
19 May 2026
