autonomous systems

Rehearse Before You Automate: Why AI Agents Should Practice Before They Act

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TL;DR An AI agent should not receive production authority because it succeeded in a demonstration or scored well on a general benchmark. Before an agent can change infrastructure, approve transactions, communicate with customers, modify records, or invoke consequential tools, it should encounter representative situations inside a controlled environment where its decisions can be observed without … Explore: Rehearse Before You Automate: Why AI Agents Should…

Feedback Is the Control Plane: Preventing AI Systems From Repeating the Wrong Behavior

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TL;DR AI systems generate enormous amounts of feedback: user ratings, evaluation scores, tool results, policy decisions, memory writes, retrieval outcomes, business metrics, incident data, and human corrections. The dangerous assumption is that more feedback automatically creates a better system. It does not. Feedback becomes useful only after the organization determines whether the evidence is trustworthy, … Explore: Feedback Is the Control Plane: Preventing AI Systems…