Make the integration experiment test the crossing, not just the component.

A library can work on its own. A managed application can work on its own. The useful experiment examines what happens when their assumptions meet.

That gives a prototype a more demanding and more informative purpose.

Select the uncertainty that could change the architecture.

Perhaps the important issue is data representation. Perhaps it is resource ownership, execution, deployment, or failure behavior. Perhaps the component's useful result is difficult to carry into the application's own model.

Choose a question specific enough to examine. State what a positive observation would establish and what it would leave open.

This prevents a convenient demonstration from silently becoming a larger implementation promise.

Include the relevant surrounding work.

Who calls the capability? What context is available? What happens to the result? Which resource survives the call? What should the application do when the operation cannot proceed normally?

The experiment does not need to represent every condition. It does need a clear relationship to the condition the team is trying to understand.

See native/managed integration, lifetimes, and platform dependencies.

Let the result improve the next question.

The observation may support the chosen boundary, expose a constraint, or suggest another route. Each can be useful if the team can explain what it learned.

Howard Pearlmutter has performed practical qualification and prototyping across enterprise systems, native integration, document processing, media, and high-performance computing.

Read the OCR case and Telos for different examples of carrying a question into working technical material.

Make the learning transferable.

A useful account includes the purpose, relevant conditions, observation, interpretation, and important limits. The team can then use the result during architecture, implementation, and review.

A bounded prototype can be complete in itself. Further development or integration should follow what the result warrants.

Explore prototyping, qualification, or technical transfer. Start with the assumption whose failure would change the plan, and give the next experiment a clear job.