AI coding assistants have dramatically lowered the barrier to creating applications. This means marketers can now build interactive tools and experiences as easily as they once created static PDFs or ebooks, offering a far more engaging way to capture demand and generate leads.
Historically, apps used content like newsletters for growth. With AI coding tools, marketers can now quickly create valuable, interactive applications specifically to capture email signups and grow an audience, flipping the conventional model on its head.
For niche tasks, leverage an AI model with deep domain knowledge (like Claude for its own 'Skills' feature) to create highly specific prompts. Then, feed these optimized prompts into a powerful, generalist coding assistant (like Google's) to achieve a more accurate and robust final product.
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.