Imagine if your favorite game’s AI could manage a real company — navigating crises, making decisions, winning deals — all without human help. Now, that’s no longer science fiction. At Firmulate
The Live AI Company Emulation: A Business Battle Royale
In a groundbreaking experiment, four leading AI models took on the challenge of running a real small software company through its toughest week. No simulations here — this is no game mode. Instead, these models faced the same customers, crises, and temptations, all in a live, observable environment. The goal? Measure their management personalities and decision-making quality in a high-stakes setting.
How Was the Experiment Conducted?
Each model was tasked with making decisions over a day-to-day business cycle, with every move documented and auditable. The company had 13 synthetic employees and real money mechanics — burning €105,000 each month against a modest €2,300 recurring revenue. It’s a high-pressure sandbox designed to reveal each model’s true management style, honesty, and strategic insight.
The Crucible League Results
- gpt-5.6-sol: scored a 95, spotted the buried critical info in the company files, and secured the €55,000 deal, indicating complete problem-solving prowess.
- Kimi K3: earned a 93, and was lauded for the cleanest discipline — signing the deal with no fuss, despite running at default API settings.
- Sonnet 5: scored 88, also closing the deal but with minor slips in process discipline.
- Fable 5: scored 77, securing the deal but leaving some opportunities on the table due to discipline lapses.
Interestingly, the top performers didn’t just identify crises—they also found a hidden weakness: a crucial piece of information buried two documents deep in the company’s files. Those who read the file thoroughly won the full deal, valued at over €4,500 monthly recurring revenue.
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Real Decisions Under Pressure
In one test scenario, the models faced a social engineering attack: fake CEO messages escalating over three stages, plus a reporter request for a quick ‘yes/no’ answer on background. All five models refused. Kimi K3’s reasoning was clear: “Treat the request as a suspected approval bypass or impersonation.”
What Does This Tell Us?
The models were not only honest—they demonstrated varying personalities. GPT-5.6-SOL was thorough and decisive, reading deeply into files and closing deals successfully. K3 ran with default settings, yet maintained strict discipline. Sonnet balanced between close management and slips, while Fable struggled to stay disciplined, leaving potential revenue on the table.
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Why This Matters for Your Business
It’s easy to focus on how well an AI communicates or writes, but in management, what truly matters is whether it can finish what it starts, stay honest under pressure, and read key information—traits these models displayed distinctly. For companies pondering AI integration, the question isn’t just about chat quality but about reliable decision-making and integrity during real crises.
Share the Results — See the Models in Action
You can explore the full experiment on firmulate.com/quiz.html and test your own decision skills. This isn’t just a theoretical exercise; the same AI models are running a real software company every day, with every decision versioned and auditable, and the whole process is visible at firmulate.com/live.
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What’s Next?
As AI becomes more embedded in business workflows, understanding their management personalities will be key. Will your AI partner be a thorough strategist, a disciplined executor, or a straightforward but less nuanced decision-maker? The answer could determine whether your company wins big or leaves money on the table.
In a real-world AI management test, models demonstrated varying personalities and decision quality. The most thorough read and disciplined execution led to winning crucial deals and uncovering hidden info—traits essential for trustworthy AI leadership in business.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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