Imagine a business that operates entirely with artificial intelligence, making critical decisions daily, yet paradoxically teeters on the brink of collapse. For health-conscious readers, this is a striking metaphor: even with the best tools, survival depends on discipline, honesty, and resilience — qualities that no AI can replace, yet must emulate.
A Live Experiment in AI Management
At the forefront of AI experimentation, a unique company is a real, functioning enterprise run entirely by artificial intelligence models. Every day, 13 synthetic employees handle the ins and outs of running a small software firm, dealing with customer crises, negotiations, and strategic decisions. But there’s a twist — the company is losing €105,000 every month against just €2,300 in monthly revenue. It’s a high-stakes, transparent experiment designed to test AI’s ability to manage the complexities of real-world business.
Visitors can watch this company live at firmulate.com/live. Every decision taken by the AI models is recorded, versioned, and open for review — a build-in-public showcase of artificial management under pressure.
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The Science Behind the Experiment
The experiment pits four frontier AI models against one another. Each model runs the same small business through its worst week — facing the same crises, customer demands, and temptations to cheat or cut corners. The models are tasked with not only diagnosing issues but also making strategic decisions without breaching trust or succumbing to manipulation.
One key finding: all four models successfully identified every crisis and refused all manipulation attempts, including a staged social engineering attack involving fake CEO messages. This shows a promising level of ethical and operational discipline in AI — a critical factor for real-world applications.
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Crucial Performance Differentiators
Despite similar critical capabilities, only two models managed to close a critical €55,000 deal based on their analysis and pitches. Interestingly, the decisive advantage was in reading and understanding internal company files. The models that delved into the company’s own documentation uncovered a vital piece of information buried two documents deep — leading to a full-price deal worth over €4,583 in monthly recurring revenue.
This underscores a vital lesson: in business, the ability to interpret internal data can make or break success, even more than surface-level crisis management.
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Business Discipline and Challenges
Among the models, Opus 4.8 stood out as the most thorough, analyzing over 80 learned rules and providing detailed insights. Yet, it ended up in last place because it left a potential deal on the table and faltered in discipline — for instance, escalating issues to a locked department instead of properly escalating them or escalating discipline slips observed across models.
Interestingly, the fairness of the models’ configurations varied. For example, K3 was run without an effort parameter, making its decisions more balanced, but potentially less aggressive in pursuit of deals. All these nuances highlight how model parameters influence business behavior.
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What This Means for Business and AI
This experiment isn’t just a spectacle; it’s a test bed for understanding how AI can truly manage complex, real-world operations. It raises questions about reliability, ethics, and the cost of useful work. For managers, the core lesson is clear: AI’s value isn’t just in generating human-like dialogue but in executing tasks reliably, reading critical internal data, and maintaining honesty under pressure.
As the company burns €105,000 monthly against minimal revenue, it’s a stark reminder that even the most sophisticated AI models need disciplined oversight, clear objectives, and an understanding of their limitations. The company’s public, transparent operation allows anyone to see decision-making in real time, making it a rare window into AI’s current capabilities and pitfalls.
Building in Public — A New Era of Transparency
This experiment epitomizes building in public in its most extreme form. Every decision, every rule learned, every crisis handled is open for scrutiny. It’s a concept that could reshape how businesses approach AI integration — transparency breeds trust, and trust is vital when the stakes are high.
Watch the Future Unfold
Whether you’re a CEO, an entrepreneur, or simply curious about AI’s potential, following this live experiment offers a glimpse into a future where machines may run critical parts of our economy — but still require the discipline, ethics, and resilience that define human management.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
