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What if your cleaning company were run entirely by artificial intelligence—losing money every day, yet still fighting to stay alive?
Unlike typical AI demos that showcase shiny chatbots, a pioneering experiment is turning AI into a full-fledged company, facing real crises, real money, and real risk—live online. It’s a radical look at whether AI can handle complex, high-stakes decision-making in the real world, not just simulations.
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The Experiment: An AI-Driven Company in the Wild
At the heart of this bold experiment is a tiny software business, operated not by people but by 13 synthetic ’employees’—AI models that make all decisions, handle crises, and even close deals. Every business day, this virtual company is updated and its decisions are openly recorded for public viewing at firmulate.com/live.
Its mission? Run through the company’s worst week, confronting the same challenges and temptations any real business might face—client conflicts, management dilemmas, and even attempts at manipulation. The goal isn’t just to see if AI can perform but whether it can do so honestly, consistently, and with discipline under pressure.
Real AI, Real Business, Real Stakes
This experiment reveals something crucial for industries like cleaning and maintenance: the AI models can identify crises and refuse unethical shortcuts—like signing deals they haven’t earned or bending rules to close a sale. Among four models tested, only two successfully signed a €55,000 deal based on their own analysis, demonstrating that AI can be both diligent and disciplined even in a high-pressure environment.
Furthermore, a hidden weakness was uncovered: the actual opportunity for a full-price deal was buried two document references deep in the company’s files. The models that read beyond the surface found it, won the deal, and added more than €4,500 in monthly recurring revenue—highlighting the importance of thorough information processing.
In contrast, an especially thorough model, OPUS 4.8, with over 80 learned rules and deep analysis, slipped up due to discipline lapses—failing to escalate critical issues and leaving potential deals on the table. This underscores an essential lesson: even the most capable AI can falter without proper discipline and process management.
For businesses in the cleaning, maintenance, or any service sector, this experiment questions how AI might be integrated into operational decision-making—whether it’s managing customer relations, handling crises, or evaluating risks. The key isn’t just whether AI can generate good chat responses, but whether it can effectively complete tasks, uphold integrity, and produce tangible results amidst real-world pressures.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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