Posts tagged "opinion"
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Treat agents like insiders: what misalignment research means for operations
AI insider threat: research on agentic misalignment suggests insider-risk controls for agents, such as separation of duties, limited access and monitoring.
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Human in the loop for AI agents that works: fewer approvals, better ones
Human in the loop for AI agents fails when every call needs approval. Reserve people for high-risk actions, show context, and let policy handle the rest.
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Architecture before prompts: why the foundation decides everything
AI agent architecture sets boundaries, contracts, handovers and data flows before any prompt runs. Why most production failures trace to a missing boundary.
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Too many prompts: how prompt sprawl turns into AI slop
AI slop is output that grows faster than anyone can review it. How prompt sprawl lowers quality, and why fewer, smaller, verified steps beat more prompts.