Deep technical writing on agent systems, memory, workflows, and what it actually takes to put AI agents to work in industrial operations.
The four-layer anatomy of every agent system — model, harness, memory, tools. How agents differ from workflows and automations, and seven production patterns that work in industrial operations.
Short-term, long-term, episodic, semantic, procedural. Every memory pattern that makes agents actually useful in production, explained with working examples.
From predictive maintenance to procurement to quality control — the industrial use cases where AI agents are producing measurable ROI in 2026, with deployment patterns and cost benchmarks.