Topic
The operating models, workflows, and review cadences companies use to run AI inside production work.
Start Here
Start with the complete table of contents for operating AI systems.
Series Index AI Quality SystemsUse the index for evals, quality gates, feedback loops, and operating discipline.
Series Index The AI Context LayerStart from the index for context, memory, retrieval, and workflow state.
Related Hubs
Evals become operational when they function as release gates for changes to models, prompts, retrieval, tools, and routing. Owned quality profiles and explicit thresholds expose tradeoffs before drift, hidden errors, or added review burden reach production.
A serious AI audit looks past demos to test whether live systems have clear ownership, bounded permissions, controlled tools, governed models and context, measurable quality, budgets, and traceable actions. The result exposes operational debt before scale magnifies it.