Most beginners think building an AI app means writing a prompt, connecting an API, and creating a simple interface.

But real AI app development goes much deeper.

In this session, we will move beyond basic prompting and explore what it means to think like an **AI app developer**. We will look at the key dimensions that make an AI application useful, reliable, scalable, safe, and production-ready.

We will connect this discussion to practical concepts like prompt caching, token efficiency, cost control, latency, architecture, prompt design, user experience, safety, and error handling. You will understand why features like prompt caching are not just technical tricks — they are part of a bigger engineering mindset needed to build serious AI applications.

We will also introduce a simple six-dimension framework to review and improve AI apps, especially for participants preparing for the Building AI Application Challenge.

This session is ideal for beginners, AI builders, developers, data scientists, students, and professionals who want to move from “prompting” to actually building better AI applications.

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