Resources for practical manufacturing AI decisions.
Use a guide or checklist when you need a practical tool. Read the Blog when you want Brad Magnetta’s dated analysis of manufacturing AI evidence, operating patterns, and lessons from the field.
Use practical tools or read first-person analysis.
Both collections are free to browse. They serve different needs, so you can go directly to a reusable operating aid or to current analysis without sorting through a mixed feed.
Practical tools
Guides and checklists
Reusable frameworks, worksheets, and review aids for a specific manufacturing AI decision or task.
Choose a practical resource for the decision in front of you.
Each resource addresses a specific operating task, includes a framework or aid your team can reuse, and states where qualified company judgment is still required.
Blog articles are dated, first-person analysis. They connect public evidence, conference themes, and Magnetta’s operating work while distinguishing interpretation from documented facts.
The useful question is no longer whether a tool can produce an impressive answer. It is whether a manufacturer can choose a real workflow, protect its information, keep authority with the right people, measure the result, and own what happens after the pilot.
Manufacturing runs on an information system as surely as it runs on machines. A recurring document workflow can be a useful first AI test when its sources, errors, reviewer, handoff, and current performance are visible.
Knowledge continuity is not a project to capture everything an experienced employee knows. It is the disciplined work of protecting one important decision or handoff with controlled sources, reviewed context, correction ownership, and measurable use.
A model may understand what a work order, inspection hold, or planned ship date generally means. It cannot establish the current state of your work unless a deliberately designed path supplies permitted evidence, returns its status, and leaves the consequential decision with the right person.
A polished answer, a citation, a second generation, or an approval click can all look reassuring while leaving the important claim unchecked. Verification begins when someone performs an independent operation against suitable evidence and records a disposition that changes what happens next.
That is not an argument against agents. When a manufacturing task genuinely requires the system to select among permitted paths as requests and evidence change, a bounded agent can be the right tool. The buying discipline is to prove that need—and the operating controls it creates—before paying for the label.
Use each resource for the job it was designed to do.
The free Academy is a self-guided learning path for individuals. Guides and checklists are standalone workplace aids your team can reuse for a specific decision; they do not certify a learner or replace company policy. If a team needs shared practice, compare Company AI Foundations. If actual workflows need prioritization, use AI Direction.