Deployment field notes

Practical answers for putting AI to work.

Clear guidance for choosing the right workflow, moving beyond the pilot, keeping people in control, and measuring what changes after launch.

Aug 4, 2026

How to choose your first AI workflow

A practical scorecard for finding a first AI deployment that matters, can be built, and gives your team a credible way to learn.

Aug 3, 2026

A plain-language framework for estimating capacity value, business impact, deployment cost, and the assumptions that still need validation.

Aug 2, 2026

What changes when an AI demo has to work with real systems, real users, and real consequences—and how to close the gap responsibly.

Aug 1, 2026

A practical comparison of reassigning an internal team, hiring, and using a deployment partner when the AI opportunity is real but capacity is not.

Editorial map

Field Notes follows the decisions leaders and operators face before, during, and after an AI system reaches production.

Workflow selection and ROI

From pilot to production

Human control and adoption

Sales and marketing systems

Reporting and intelligence

Publishing standard

desic publishes practical deployment methods, definitions, and field notes. We do not present illustrative patterns as customer results.

Customer outcomes, performance figures, certifications, and quotations appear only when they can be attributed and supported.

Recommendations explain the workflow conditions, controls, and tradeoffs that determine whether a deployment pattern applies.

Articles expose publication and revision dates so readers can judge whether the material reflects the current deployment landscape.

Apply the idea

Getting started turns the general method into a practical next step for your team.