Platform for exposing small, precise model-invokable operations

If ChatGPT Apps take off, software changes in a way that is hard to walk back from. People won’t start with products anymore. They’ll start with the model. Whatever happens next depends on the capabilities the model reaches for. That simple idea changes more than it seems. The interface becomes optional. The flow becomes optional. The only part of a product that matters is the part the model finds useful enough to call. OpenAI’s guidance makes this clear without calling it out. They tell builders to expose small, precise operations. Not features. Not screens. Operations. Clean inputs. Predictable outputs. Something the model can rely on in the middle of a conversation that is already in motion. Once you accept that, you see what follows. Products will no longer compete as destinations. They will compete as instruments woven into a larger process the model coordinates. Every product becomes a move with a clear purpose. If that move is easy for the model to understand and safe for it to use, the product rises. If not, it drifts into the background. The consequences will ripple through teams. PMs spend less time shaping long paths and more time identifying the few operations their product is truly built around. Designers focus on the moments when a visual view clarifies something the model cannot express cleanly in text. Engineers tighten contracts until nothing is ambiguous. Marketing stops assuming that the user’s first touch will be a landing page and starts thinking about how the model learns where a product fits. This produces a strange outcome. The web does not shrink, but its position shifts. It stops being the place where work begins. Most work begins with intent expressed to the model. The model interprets the intent. Then it pulls in the tools it trusts. That trust becomes a kind of distribution. If the model calls a capability again and again, that capability ends up shaping an entire category. A single operation becomes a foothold in thousands of workflows. It does not matter how the product looks from the outside. It matters how reliably the model can use it. This is the deeper implication of ChatGPT Apps. They reveal what a product is when you remove everything except the part that solves the problem. If that part is strong, the product spreads. If it is weak, the product fades. Many teams will ignore this and hope the interface remains the anchor of their value. It won’t. Not once the model becomes the place where decisions happen. The companies that adapt will rebuild themselves around a small set of well-defined capabilities. The rest will keep optimizing the surface while the ground moves underneath them. https://t.co/bexbj3P4Aw