Don't feel pressured to label every AI-powered enhancement as an "AI feature." For example, using AI to generate CSS for a new dark mode is simply a better way to build. The focus should be on the user benefit (dark mode), not the underlying technology, making AI an invisible, powerful tool.

Focus on a single job where the user provides a high-signal input (a photo, item, or text prompt). This simplifies the user experience and allows AI to deliver instant, high-value output, leading to better conversion and user engagement.

Even though modern AI coding assistants can handle complex, single-shot requests, it's more reliable to build an application in stages. First, build the core functionality, then add secondary features, and finally add tertiary elements like download buttons. This iterative approach prevents the AI from getting confused.

For AI products, the quality of the model's response is paramount. Before building a full feature (MVP), first validate that you can achieve a 'Minimum Viable Output' (MVO). If the core AI output isn't reliable and desirable, don't waste time productizing the feature around it.

AI plugins (MCPs) constantly consume valuable context window space, even when not in use. Integrating tools via Command-Line Interfaces (CLIs) is more efficient. The AI can execute local CLI commands as needed, providing full tool functionality without the persistent context overhead.

When generating an initial prototype with AI, explicitly instruct the model to ignore standard features like sign-up or login. This forces the AI to concentrate its efforts on the key user flow that directly solves the user's core problem, leading to a more valuable first iteration.

The official C2PA library offered full cryptographic verification of AI image origins. However, for a simple transparency badge, simply checking for the existence of a metadata field was sufficient. This avoided a large 1.5MB library and unnecessary processing for the specific product use case.

Acknowledging that users have varying comfort levels with AI, Canva has integrated its powerful new features as a distinct, optional "AI tab" within the existing interface. This allows traditional users to continue their workflow unchanged, preventing alienation while encouraging gradual adoption.

The ease of building with AI can be a double-edged sword. The guest described asking his AI assistant for a simple ad component and receiving a robust, feature-rich ad management system. While impressive, this can lead to overbuilding and adding complexity that users don't need, highlighting the importance of product manager restraint.