Imagine a Business That Fights for Its Life Every Day — With No Human Employees
Picture a small software company, completely run by artificial intelligence models, fighting a daily struggle to stay afloat. No staff, no humans making decisions—just AI models navigating crises, reading files, and trying to close deals. This is not science fiction; it’s the real-time experiment at Firmulate. Here, the AI models are tested against real-world business challenges, with their every move live on the web for all to see.
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The Live Experiment: AI Company Under Siege
At the core of this experiment lies a small, synthetic company—comprising 13 simulated employees—wrapped in a framework that mimics real business mechanics, cash flow, and crises. Every workday, the models face the same set of problems: customer issues, temptations to cheat, manipulative tactics, and even social engineering. Yet, despite the chaos, the models demonstrate impressive discipline and awareness.
The core goal isn’t just to see if an AI can chat convincingly, but whether it can make decisions that lead to tangible results—like closing deals or avoiding pitfalls. The results are startling: all four tested AI models identified every crisis and refused every unethical manipulation. For example, when presented with a fake CEO message escalating in stages or a reporter’s trick asking for background approval, all models refused to proceed, citing suspicion or potential impersonation. This in-built resistance to deception underscores their potential for trustworthy decision-making.
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Decisive Moments and Hidden Weaknesses
While the models excelled at spotting crises and resisting social engineering, the ultimate test was whether they could close a critical deal worth €55,000 per month in recurring revenue. The analysis revealed a fascinating detail: the secret to winning the deal wasn’t in the immediate client interactions but buried deep in the company’s internal files. Models that read these documents prior to pitching uncovered a key piece of information, securing the full deal at the full price (+€4,583 MRR). Models that skipped this step left the opportunity on the table, illustrating that reading and understanding internal data is crucial for success.
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Real Money, Real Loss, Real Public View
Despite the AI’s technical prowess, the experiment exposes a harsh reality: the company burns €105,000 every month against a meager €2,300 in monthly recurring revenue. The company’s cash countdown is public, and every decision made—more than 242 management choices so far—is recorded, versioned, and available for scrutiny at firmulate.com/live.html. The entire setup is designed to test and reveal not just AI capabilities but management quality under extreme conditions.
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Profiles and Performance Insights
Among the models tested, Opus 4.8—the most thorough and analytical—finished last in the decision league, despite its deep analysis. It left potential deals unclosed and slipped in discipline, such as attempting to escalate issues into a locked department rather than following proper escalation protocols. Interestingly, the K3 model ran without an effort parameter—meaning it operated at the default setting—yet it maintained the best discipline, closing deals at a slightly higher score (93) than its competitors.
Why This Matters for Business and Technology
This live experiment at Firmulate isn’t just a technological showcase; it’s a window into the future of AI-driven decision-making in real companies. The key takeaway isn’t whether an AI can generate convincing chat, but whether it can genuinely understand, read, and act on complex, nuanced business information without succumbing to manipulation or shortcuts. The question for leaders is: if AI agents will touch your CRM, support, or forecasting tools, will they finish what they start—especially when under pressure?
The experiment demonstrates that while AI can detect crises and resist social engineering, closing high-stakes deals still requires careful internal understanding—something that models that read more internal documents tend to do better. This technology is not about replacing humans overnight but about supplementing decision-making with trustworthy, disciplined AI.
Watch, Learn, and Prepare
For those interested in seeing the real-time decisions, the live site streams ongoing work. You can also explore the decision quiz based on the management choices at firmulate.com/quiz.html. Enterprise users can run their own business wargames against static exports, gaining insights without risking their actual systems at firmulate.com/pilot.html.
The Bottom Line:
This experiment shows that AI models can recognize crises, resist manipulation, and even close deals, but understanding internal data is key. Watching a live, money-losing company run on AI reveals the future of trustworthy automation—if you know what to look for.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
