Introducing GPTs

OpenAI has opened up ChatGPT's guts a little wider. The company's new feature, called GPTs, lets users bundle instructions, extra knowledge, and specific skills into a personalized version of the chatbot, then use it or share it like any other tool.

The pitch is simple: instead of typing the same lengthy prompt every time you want ChatGPT to act like a resume reviewer or a recipe generator, you build that behavior once and save it. Add a knowledge base — a PDF, a spreadsheet, whatever context is relevant — and the GPT can lean on it when answering. Combine skills, and the assistant can do more than chat; it can act.

This isn't a wholesale reinvention of the underlying model. GPT-4 still does the heavy lifting. What's changed is the wrapper around it — how easily a non-engineer can shape that intelligence into something narrow and useful without writing a line of code. That's the real shift here, and it's a deliberate one. OpenAI has spent the past year fielding endless requests from businesses and hobbyists who wanted a ChatGPT that behaved a specific way, remembered specific things, and didn't wander outside its lane.

The timing also says something about where OpenAI thinks the market is heading. Every major AI lab is racing to become a platform, not just a model provider. Custom GPTs push ChatGPT further in that direction — from a single general-purpose chatbot toward an ecosystem of purpose-built variants, each tailored to a task, a company, or a person.