Ideas for intelligent operations

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Field notes on putting AI into production, designing accountable workflows, and creating measurable operating leverage.

Featured · AI Architecture

Agentic AI in production: five patterns that keep autonomy useful

The latest agent systems can act for longer and across more tools. The winning architecture is not maximum autonomy—it is controlled, observable progress.

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August 18, 2026 · 8 min read
Enterprise AI

From AI pilot to production: the operating system you need

A practical framework for moving promising AI experiments into accountable, durable operations.

August 12, 2026 · 6 min readRead
AI Economics

The true cost of enterprise AI: price the workflow, not the token

Inference is only one line in the AI cost model. A better business case measures the complete operating loop—and the exceptions it creates.

August 11, 2026 · 7 min readRead
Responsible AI

AI governance belongs in the system design—not in a policy binder

New transparency rules sharpen an old lesson: responsible AI becomes real through interfaces, evidence, controls, and ownership.

August 4, 2026 · 7 min readRead
Responsible AI

Human-in-the-loop is a design discipline, not a fallback

How to place human judgment where it creates confidence without turning automation into another queue.

July 29, 2026 · 5 min readRead
AI Strategy

In the agent era, domain expertise becomes the AI advantage

As agents absorb more execution work, understanding the operating problem—not merely prompting the model—becomes the scarce capability.

July 28, 2026 · 6 min readRead
Operations

Automation that creates real operating leverage

Why connecting decisions, exceptions, and feedback matters more than automating isolated tasks.

July 15, 2026 · 4 min readRead
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