
Long-running agents need durable state, not immortal containers
Reliable agents recover because their tasks, evidence, and permissions outlive the worker that happens to be executing them.
Read moreResearch notes, technical writing, and industry perspectives on AI, control, and energy systems.

Reliable agents recover because their tasks, evidence, and permissions outlive the worker that happens to be executing them.
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Agent performance is not only a model problem. Harness engineering designs the context, tools, controls, verification, and learning loops that make an agent dependable in the real world.
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AI-generated websites converge on the same gradient-blob template because we're asking coding agents to invent visual taste while they're also handling implementation. A better workflow: generate the design first, then code section by section against the reference. A synthesis of Leon Lin's image-to-code thread, with notes from doing this on the portfolio you're reading now.
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