Chapter 1. AI-Native Products: More Than Features
The first time I used Gamma, I felt something shift. I wasn’t adding AI to a workflow—I was inside one. The blank page didn’t stare back at me; it filled itself, iterating on my half-formed thoughts faster than I could articulate them. This wasn’t PowerPoint with a chatbot bolted on. The entire experience was AI, from the first prompt to the final slide.
I recognized this feeling because I’ve built products like this. At IPG Health, my team created tools like Living Persona, Living Mirror, Living Journey, where the AI is not an enhancement, it is the output. Strip away the model and there’s no product left, just an empty shell. That distinction between AI as feature and AI as foundation turns out to be the dividing line that separates the next generation of software from everything that came before.
This shift is bigger than adding smarter features to existing products. Large language models (LLMs) and generative AI (GenAI) represent something categorically different from the machine learning (ML) and predictive ...
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