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Tagged: ai-governance
Agentic Engineering and the Outer Loop: Where Antigravity and Agents CLI Fit
Specs, evals and guardrails define agentic engineering. A look at Google's Agents CLI, its GCP production layer, and how Antigravity differs from other coding tools.
8 min readBefore an AI Agent Gets Production Authority: Contracts, Claim Graphs, Shadow Runs and Canaries
An evidence-first release process for AI agents: scoped contracts, stateful scenarios, fault injection, uncertainty bounds, staged canaries and machine-enforced promotion.
23 min readFrom Models to Agents: Reworking the Three Lines of Defense
How MLOps governance maps onto agent systems: what each of the three lines must add, where the gaps sit, and what EU, FDA and finance regulators signal.
8 min readIntentFlow: Governing LLM Agents With Compiled Policy and Auditable Traces
A look at IntentFlow, an experimental language that enforces agent policy outside the model and writes hash-chained traces an auditor can verify independently.
8 min read
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