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Insights

Guides for choosing, testing, and maintaining AI workflows.

Checklists and explanations for decisions before and after launch.

Latest articles

One useful decision at a time.

Each article explains a choice that matters before or after an AI system goes live.

01Foundation · 7 min read

Before the agent: rebuild the source of truth

Why the reliability of an AI system begins with the operational record underneath it.

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02Deployment · 6 min read

What shadow mode catches before production

Real inputs and simulated outputs reveal the failures a polished demo cannot show.

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03Governance · 8 min read

The approval gates that should never disappear

A practical framework for separating routine execution from consequential judgment.

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Topics

What the library covers.

01

Strategy

Choose the right workflow and define what should improve.

02

Operations

Map the work, prepare the data, and connect the right tools.

03

Reliability

Test failures, keep approval steps, and monitor what happens after launch.

04

Maintenance

Keep documentation, monitoring, and review current as tools and work change.

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