How is AI like a pilot lost above the clouds near Redmond, Washington?

There’s an old joke about a helicopter pilot who becomes lost above the clouds. His navigation and communications equipment have failed. Eventually, through a break in the clouds, he spots an office building.

He flies close to it and holds up a sign:

WHERE AM I?

People inside the building confer, then hold up a sign in response:

YOU ARE IN A HELICOPTER!

The pilot immediately turns toward an airport and lands safely.

His passenger is astonished.

“How did that answer possibly tell you where we were?”

The pilot replies:

“The answer was technically correct—but completely useless. So I knew that had to come from Microsoft.”

Funny.

Now we’re all asking AI for answers in the cloud—and still getting answers that don’t help us land.

Isn’t that how we use AI today?

We give an LLM an instruction. It gives us an answer.

The answer can be intelligent, polished and technically correct—without the AI ever determining where we’re actually trying to go.

What if we changed that?

I did.

I built Collaborator™, a set of additional system instructions designed to make the AI take responsibility for discovering the user’s desired outcome—and the information it needs to help achieve it.

No new model. No fine-tuning.

And I built an interactive side-by-side demo:

ChatGPT 5.6 vs. ChatGPT 5.6 + Collaborator™

Same model. Start with the same prompt. Then watch what happens.

Better yet, use your own prompts.

Put Collaborator™ to the test.

https://collaborator.revenuemodel.ai

Same model. More value? You decide.