Learn enough of the model to work beyond the demonstration.

A demonstration gives you a particular route through a subject. Your own system will bring a different condition, dependency, or requirement.

The learning becomes more valuable when you can recognize what to examine as the situation changes.

For developers, that can mean understanding an inherited system, evaluating an architecture, reviewing AI-assisted work, or connecting a new facility with the application around it.

Howard Pearlmutter brings hands-on development and systems architecture to technical learning. He has taught advanced developers and architects, including demanding audiences at Valtech and Capital One.

His current practice includes AI-assisted implementation and prototypes across native integration, enterprise middleware, high-performance computing, and media. Read Telos.

A useful session can work through a mechanism, compare approaches, or examine a real example. The aim is to make the reasoning available, so you can use it on a task the presentation did not anticipate.

Try naming one ability you want afterward. “Understand what this boundary assumes” is a more workable learning purpose than “know everything about the platform.” “Review the generated result against our system's purpose” is more informative than “use AI faster.”

Explore mental models, examples, and feedback.

For a broad foundation, a seminar may fit. For practical examination, consider a workshop. For an individual or small group working through a current task, explore mentoring.

The valuable outcome is more ability to build, question, review, and explain when the convenient example is no longer the whole situation.