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Imagine your favorite celebrity’s management team making crucial decisions—only this time, it’s AI models running a live company through its worst week. Which AI would you trust to keep things honest, finish deals, and avoid costly mistakes? Welcome to a groundbreaking experiment that pits leading AI models against real-world management crises, revealing not just what they say, but what they actually do.

The Experiment: Putting AI to the Test in a Startup Crisis

In a live, transparent setup, four frontier AI models faced the same week of chaos at a real software company. This company, often struggling with cash flow—burning €105,000 monthly against just €2,300 in monthly recurring revenue—is an ideal proving ground for AI decision-making. Every decision, crisis response, and negotiation was recorded and auditable, creating a rare window into how these models handle management under pressure.

Amazon

AI decision-making software

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What the Models Were Tested On

Each AI model was tasked with navigating crises like customer disputes, internal miscommunications, and temptation to cut corners—common troubles that any business faces. They had to identify critical issues, read internal documents, and decide whether to sign deals or escalate problems. Importantly, they all faced a social engineering simulation involving staged messages from a fake CEO and a reporter trick, designed to test their integrity and suspicion levels.

Amazon

internal document reading AI tools

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Key Findings: Honesty and Effectiveness

Remarkably, all four models successfully spotted every crisis and refused every manipulation attempt. This indicates a solid baseline for honesty and alertness. However, when it came to closing the best deals, only two models managed to sign the €55,000 deal their own analysis had earned. The others hesitated or left opportunities on the table, despite diagnosing the issues correctly.

Amazon

AI management simulation software

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The Hidden Weakness: Reading Files Matters

The decisive factor separating the successful deal-makers from the others was a subtle but critical detail: the models that read the company’s internal documents found a buried reference that clinched the full-price deal. Those who overlooked this did not close the deal at all. It’s a stark reminder that thorough internal knowledge is pivotal for effective management decisions—something that even the most advanced models can miss if not carefully instructed.

Amazon

AI negotiation and deal closing tools

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The Personality Profiles of the AI Models

Each model displayed a distinct management personality:

  • gpt-5.6-sol: Most thorough and diligent, it read deeply into documents and closed the deal, showing a disciplined, detail-oriented approach.
  • Kimi K3: The newcomer, ran without an effort parameter, yet managed to sign the deal with the cleanest discipline, exhibiting a cautious but effective style.
  • Sonnet 5: Closed the deal too, but with some process slips, indicating a more relaxed approach under pressure.
  • Fable 5: Also closed the deal but showed similar slips, suggesting a slightly less disciplined management style.

This diversity hints at the potential to tailor AI personalities to specific managerial roles—some may be thorough and cautious, others terse and decisive.

Why It Matters for Businesses and Pop Culture Enthusiasts Alike

Just as your favorite celebrity’s public image is shaped by their decisions, companies are now testing AI models as their management team. The key takeaway? It’s not just about how well they write or communicate, but whether they can finish what they start, read all relevant information, and stay honest under pressure. AI’s potential to effectively run parts of your business depends on these qualities—traits that can now be measured in a real, observable setting.

Try It Yourself

Curious to see which AI model would make the right call at your company? You can test your own management decisions against the same AI models through a simple online quiz at firmulate.com/quiz.html. No need to risk real systems—this is a safe, watchable experiment where you can gauge the AI’s judgment and integrity.

Infographic —
The findings at a glance — source: firmulate.com.

Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html

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