Building AI Products in 2026: What Actually Works?

Everyone is building AI. Few are building AI products that users actually trust, adopt, and pay for.

As AI moves beyond prototypes and demos, a new challenge has emerged: separating hype from reality. This seminar takes you behind the scenes of modern AI product development, exploring what works in production, what fails at scale, and the lessons companies are learning as they race to integrate AI into their products and services.

From AI agents and prompt engineering to context management, evaluation, and user trust, discover the strategies that are shaping the next generation of successful AI products.

Why This Topic Is Interesting:

- Learn why many AI products fail despite impressive demos.
- Discover the techniques that successful AI teams use to build reliable, scalable solutions.
- Explore how AI agents are transforming software, automation, and user experiences.
- Gain practical insights that go beyond theory and can be applied immediately to real-world AI projects.
- Understand where AI product development is heading—and what skills will matter most in the years ahead.