The AI conversation drew more than twice the expected audience.

About twenty people were expected for Howard Pearlmutter's custom AI-for-product-development seminar at Telos Alliance. Forty-seven came.

They included software and hardware developers, product and project leaders, executives, and skeptics.

The subject had different meanings for different participants. The engagement was prepared to connect with that variety.

The preparation began with the organization.

Howard worked with the CTO, vice president of engineering, and division leaders before the seminar. The content could therefore meet the audience's actual work rather than rely only on a general account of AI capability.

John Schur described Howard addressing skeptical concerns and a careful path forward.

Explanation met practical creation.

Howard also built AI-assisted prototypes during the engagement. The work connected conceptual explanation with applied engineering across programming languages, native/platform integration, scalable middleware, and domain-specific media workflows.

The prototypes included Apple Silicon CPU/GPU work and software integration. They were prototypes, not a claim that an entire production facility had been deployed.

Schur wrote:

I felt that Telos received multiple times the value of our investment.

A team can bring different reasons to the same subject.

One person may want to build. Another wants to understand risk. Another needs to see how the possibility fits a product or existing system.

A useful encounter gives those reasons enough shared reference to inform one another.

Read human and AI contribution, working across disciplines, and teams.

For a group with its own mix of curiosity, experience, and responsibility, explore a guided encounter.

The opportunity is more people able to bring their judgment into what the tools make possible.