AI needs its Model T moment

Henry Ford didn't bring automobiles to the masses by teaching millions to master mechanics.

He built a car millions of ordinary people could use with the skills they had.

• The Model T democratized the automobile.
• Today, AI is the transformative technology we're trying to make accessible to everyone. But it’s a struggle.

LLMs 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 making that capability useful to the mass market takes more than a capable model.

People often leave important context unstated – not because they lack expertise, but because they don’t yet know which details will change the answer. And an LLM that immediately executes the request can miss the purpose behind it, frustrating the user while wasting both time and money.

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

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

ChatGPT+Collaborate™ is designed to meet that need by 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 buy a Model T or a T-Bird based on someone’s say so. You'd take ’em for a test drive.

So them for a spin: ChatGPT 6, ChatGPT 6 +Collaborate™, and Claude Sonnet 5.

Use same initial prompts, then compare the results from each model.

I left the key in the ignition for you.