HUMAN+AI DEMONSTRATION

Meet Collaborator™

The Economist recently posted, “How to measure returns on AI?” It’s the right question—but are we looking for AI ROI in all the wrong places?

Instead of saving time, cutting headcount, or deploying Agentic AI, what if the larger return comes from what humans and AI can actively create together that neither produces as effectively alone?

Recent research from Management Science, Gartner and McKinsey indicates collaboration – rather than reducing headcount – is the more promising path to ROI.

Computing has always lived by a simple rule: garbage in, garbage out. Generative AI hasn’t changed that rule.

Enterprise AI assumes employees will provide sufficiently complete instructions. They often won't—not because they're incompetent, but because humans cannot reliably know which unstated information will materially affect the solution. AI should take responsibility for discovering those deficiencies before executing.

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

So what happens if we make the AI responsible for getting the inputs it needs?

See for yourself, by comparing the results from Standard ChatGPT to ChatGPT + Collaborator™ using identical initial prompts, below.

ChatGPT + Collaborator™ is designed to extract 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 determine the best path forward.

1. Choose a prompt or create your own prompt 2. Confirm your initial prompt below — you may edit it before starting, but edits are optional.

3. Select Standard ChatGPT

4. Select ChatGPT + Collaborator™

5. Compare your results

Analysis

An AI can give an excellent answer to a request that produces little economic value. For instance:

An online game for kids may miss the target audience based on age.
A polished marketing campaign can increase sales without increasing profit.
A credible cost-reduction plan can meet its target without closing the company’s cash-flow gap.

Collaborator™ is designed to uncover those differences before time and money are committed—helping direct resources toward the outcome that actually matters.

Both versions use the same model and start with the same prompt. The potential dollar value of Collaborator™ comes from better decisions: avoiding unnecessary spending, identifying more profitable alternatives, and reducing costly rework. This demo illustrates the economic opportunity: AI that helps determine what is worth doing could create substantially more value than AI that simply completes tasks.