For years, two experts have been arguing about the same question.

Not what AI can do.

What happens when people start trusting it.

Max Cornelisse believes most organizations move too slowly. They overanalyze, overgovern, and hesitate while others move ahead. In his view, AI is a force multiplier. The sooner you learn to work with it, the sooner you gain an advantage.

Dr. Sabine Charter believes the opposite. People are remarkably easy to influence, especially when information is presented with confidence, logic, and apparent certainty. As AI becomes more convincing, poor decisions become harder to recognize.

Neither managed to convince the other.

So they stopped debating.

They built Project Prometheus.

Today, participants enter that system.

Working in teams, they must gather evidence, connect seemingly unrelated information, make decisions under pressure, and compete for a place in the final round. Some conclusions will feel obvious. Some answers will seem too good to question. Some paths will appear far more convincing than they should.

Only two teams will reach the final stage.

There they will confront Prometheus itself.

And the question Max and Sabine never managed to answer:

When a system gives you an answer, how do you decide whether to trust it?

Project Prometheus is a large-scale interactive experience exploring trust, judgment, and decision-making in the age of AI. Participants do not learn these concepts from slides. They encounter them through their own choices, assumptions, and conclusions.

Because the greatest risk is not that a system occasionally gets things wrong.

It's that people stop noticing when it does.

No lecture.

No feature demos.

No spectators.

Just a room full of people making decisions.

And discovering how those decisions are really made.

If you're looking for a session where you can quietly catch up on email, this isn't it.

Project Prometheus is designed as a large-scale interactive session for conference audiences rather than a traditional talk.

While the abstract intentionally presents the experience through its narrative, the session explores a serious topic: how people evaluate, trust, challenge, and act upon information in the age of AI.

Participants work in teams and actively engage with evidence, assumptions, uncertainty, and decision-making under time pressure. The format is built around well-established concepts from cognitive psychology and human factors, including overconfidence, confirmation bias, automation bias, and the tendency to accept plausible answers without sufficient verification.

Rather than explaining these concepts through slides, participants experience them directly as part of the activity.

The session scales to conference-sized audiences and culminates in a live final round between the top-performing teams using physical puzzle devices. But the rest of the audience also remains active.

Conference attendees will leave with a memorable shared experience, practical insights into human decision-making around AI, and probably a few uncomfortable realizations about their own reasoning processes.