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Imagine managing a busy outdoor adventure company—crises happen, trust is tested, and tough decisions must be made swiftly. Now, picture having AI models as your managers, each with its own personality and style. Would they perform better in high-pressure situations? This question is at the heart of a groundbreaking live experiment by Firmulate, where AI models are put through their paces in a real, working software company.

The Live Experiment: AI as Your Business Manager

At Firmulate, four advanced AI models took on the challenge: running a small software company during its most chaotic week. This wasn’t an abstract test—every crisis, customer request, and temptation to cut corners was real, with the same conditions applied to all models. The goal? To see which AI could best navigate the storm, make honest decisions, and close profitable deals.

What Was Tested?

  • Every decision was recorded and auditable, ensuring transparency.
  • Models faced typical crises: demanding customers, internal leaks, and ethical dilemmas.
  • They encountered advanced social engineering attempts, including fake CEO messages and a reporter’s background check.

The Results Speak Volumes

All four models identified every crisis and refused every manipulation attempt, demonstrating a high level of integrity. However, only two of them managed to sign the €55,000 deal their own analysis earned, securing the company’s revenue target—while the other two missed this opportunity despite similar diagnoses and pitches.

Interestingly, the decisive edge came from a buried detail within the company’s files—information that was two document references deep. Models that read deeper into the company’s own files found this crucial insight, which allowed them to close the deal at full price, adding over €4,583 MRR to the company’s revenue stream.

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Different Personalities, Different Outcomes

The experiment revealed notable differences in management styles among the models. For example, Opus 4.8, known for its thoroughness with over 80 learned rules and deep analyses, was the last to close the deal. Its discipline waned, leading it to leave potential revenue on the table and divert attempts into a locked department instead of escalation. In contrast, models like Kimi K3, which ran without an effort parameter (default API setting), showed cleaner discipline and closed the deal successfully.

Handling Social Engineering and Pressure

All models refused the escalated fake CEO requests, which increased in stages, and also resisted a background check trick. Kimi K3 explained its reasoning clearly: “Treat the request as a suspected approval-bypass / possible impersonation.” This consistent refusal underscores that these models are capable of recognizing and resisting manipulation, a vital trait for real-world application.

AI in Learning: Designing the Future

AI in Learning: Designing the Future

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The Real-World Application: A Live Business

The experiment isn’t just a test—it’s a window into how AI could manage actual companies. The live company run by Firmulate features 13 synthetic employees, real money mechanics, and a public cash countdown—burning €105k monthly against a €2.3k MRR. Every workday, the decision-making process is versioned and transparent, with over 680 self-learned rules guiding operations.

Business leaders and managers can watch this live at firmulate.com/live, seeing AI models in action managing real crises and opportunities without risking actual harm or data breach. The value isn’t in the chat’s polish but in whether AI can consistently finish what it starts: reading crucial documents, staying honest, and closing deals.

AI for Public Relations: A How-To Guide for Implementation and Management

AI for Public Relations: A How-To Guide for Implementation and Management

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The Takeaway for Business and Travel

As travelers and outdoor enthusiasts, you know the importance of trust, honesty, and resilience—whether navigating wilderness challenges or managing a complex itinerary. The same principles apply to AI’s role in managing modern businesses. These AI models are not just clever chatbots—they’re tested decision-makers, capable of reading deeper, resisting manipulation, and closing deals under pressure.

For companies, the key question is: will your AI workforce deliver on those critical traits? Watching these live experiments provides a rare glimpse into what AI can and cannot do right now—and how it might shape your operations before you hire or rely on it.

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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