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Choose the question closest to the work in front of you.

These sections group the notes by the decisions they help you make. Start here offers a shorter reading route if you are new to the publication.

  • Value engineeringEstimate the benefit, include the work around the model, and decide whether a build is worth pursuing.
  • Intelligence selectionCompare rules, prediction, optimization, retrieval, models, agents, and human decisions on the work they need to do.
  • Workflow designFollow real cases through people and systems to find waiting, rework, missing information, and steps that can change.
  • Data and contextCheck source ownership, metric definitions, freshness, access, and preparation before relying on a result.
  • Adoption and human workDesign around the people doing the work, including their interfaces, review load, responsibilities, and capacity.
  • Verification and operationsCheck outputs against their sources, test failure cases, verify actions, and keep the service recoverable and owned.
  • System design and integrationMap source systems, durable state, permissions, effects, recovery, and operating ownership around the workflow.

Creating AI Systems with Impact

An independent publication by David Ahmann

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