Stop Building Dumb AI Wrappers: Getting Real with LLM Function Calling

A critique of shallow AI wrapper apps that simply relay prompts to LLMs, arguing that function calling is the key to building genuinely useful AI products. Explains how function calling works: defining tools, intercepting structured JSON outputs from the model, executing real backend logic, and returning results. Emphasizes that real AI value comes from connecting models to actions like database queries and scripts, not just improving text output quality. Note: the article contains visible AI-generated artifacts in its closing paragraphs, suggesting the content itself was partially AI-generated.