AI needs its Model T

AI needs its Model T
Henry Ford was 32 when he build his first car, the Ford Quadricycle, in 1896.

Henry Ford didn't bring automobiles to the masses by teaching millions of people to become automobile experts.

He built a car millions of ordinary people could use.

  • The Model T democratized the automobile.
  • Today, the AI model is the transformative technology we're trying to democratize.

Today's AI models are extraordinarily capable. Highly proficient users know how to extract that capability: they provide context, formulate thoughtful prompts, expose assumptions and steer the AI toward better results.

But these LLMs not ready for the mass market – yet

Because people often leave important context unstated—not because they lack expertise, but because they don’t yet know which details will change the answer. An AI that immediately executes the request can miss the purpose behind it.

But what if the AI took responsibility for uncovering that missing context before committing to a solution?

The user shouldn't need to know how to prompt the AI.
The AI should know how to prompt the user.

ChatGPT + Collaborator™ is designed around that principle, extracting more value from existing LLMs without changing the models. Rather than requiring users to become expert prompt engineers, the AI asks purposeful questions to understand what the user wants to accomplish, identify what could prevent success, and draw on the user’s knowledge and judgment to shape the work.

But you wouldn't judge a Model T from the brochure. You'd take it for a test drive.

So don't take my word for ChatGPT 5.6 +Collaborator™, either.

Take ChatGPT 5.6. and ChatGPT 5.6 +Collaborator™ for a test drive.

Same models. Same initial prompts. Different results

You drive. You decide.

Take the demo for a test drive.



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