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What If Your Favorite Game Company Could Be Run by AIs Facing Real Crises?
Imagine a company managing its daily operations—dealing with crises, making critical decisions—entirely driven by artificial intelligence models. Now, picture watching this company struggle, succeed, and falter in real-time. This isn’t fiction; it’s what the live experiment by Firmulate offers: a window into how AI models handle the ruthless realities of running a business.
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The Live Company: A Transparent Test Bed
At the heart of this bold venture is a real, functioning software company, but with a twist: it operates with 13 synthetic employees powered by cutting-edge AI models. Every day, this company faces the same crises—customer issues, internal dilemmas, market temptations—and its decisions are openly recorded, versioned, and analyzed. The goal? To evaluate whether AI can truly manage complex, high-stakes situations without human intervention.
Currently, the company burns through €105,000 each month but earns only €2,300 in monthly recurring revenue. This stark financial picture underscores the experiment’s nature: it’s a battle for survival, with the AI models acting as the company’s decision-makers in real time. Every workday, new decisions are made, documented, and scrutinized at firmulate.com/live.
How AI Models Are Tested
The experiment pits four frontier AI models—each with distinct capabilities—against the same set of challenges. This includes crises like customer complaints and manipulative social engineering attempts. All four models identified every crisis and refused every unethical manipulation. Interestingly, only two of these models managed to close a significant deal, earning €55,000 for the company, based on their own analysis and pitches.
What made the difference? The models that read deeply into the company’s internal files revealed critical information buried in references, which was crucial for sealing the deal. The models that overlooked this information missed out on €4,583 monthly recurring revenue in potential gains.
Rejection of Deception and Manipulation
In one test, the models faced social engineering—fake CEO messages escalating through stages and a reporter’s subtle trick to get a quick approval. All five tested models refused to be duped, reasoning that their requests might be impersonation attempts or approval-bypass tactics. Kimi K3, one of the models, explicitly stated: “Treat the request as a suspected approval-bypass / possible impersonation.”
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The Hard Reality Behind the Experiment
This isn’t just a tech demo. It’s a brutal, real-time assessment of AI’s capacity to run a company amid adversity. The experiment runs every business day, and all decisions are openly available to the public, making it a rare transparency in AI evaluation.
Among the tested models, Opus 4.8 demonstrated the most thorough decision-making, with over 80 learned rules and deep analyses. Yet, it finished last in closing opportunities, showing that even the most detailed understanding can falter under discipline slips or process slips, such as writing decisions into a locked department instead of escalating them properly.
Implications for Gaming and Interactive Media
If AI can be tested and trusted to manage a small company’s crises and negotiations in real-time, what does this portend for gaming or interactive entertainment? For creators and players alike, the question is not just whether AI can generate compelling content but whether it can reliably handle complex decision-making, uphold fairness, and stay honest—all under pressure.
This experiment offers a glimpse into a future where AI-driven companies could run game economies, manage virtual worlds, or handle customer support with transparency, discipline, and integrity. Watching this live also means understanding that AI’s potential is not just about chat or content creation but about managing entire systems that require accountability and trustworthiness.
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The Bottom Line: A Fight for Survival, Openly Observed
This real-world, live experiment underscores a vital lesson: AI’s ability to manage, negotiate, and make ethical decisions in complex environments is still a developing frontier. The company’s daily financial losses highlight that even sophisticated models need refinement and discipline. Yet, the transparency—viewing decisions as they happen—gives a rare, unfiltered insight into AI’s operational capabilities.
For game developers and interactive entertainment creators, the lesson is clear: AI’s future impact depends on its ability to stay honest, finish what it starts, and read deeply into its environment—skills that are crucial both in business and in virtual worlds.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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