Imagine running a small woodworking tool shop that’s constantly on the brink, yet every move you make is openly watched by the world — and possibly guided by AI. This is not a hypothetical. It’s the reality of a company experimenting with AI decision-making in real time, facing its daily struggles in front of an audience.
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The Live Experiment: A Company on the Edge
At firmulate.com, a unique digital experiment unfolds daily. A fully operational, real company is run not by humans but by AI models, each acting as a team of 13 synthetic employees. It’s a company that sells no physical product, yet it spends €105,000 every month to keep itself running while earning just €2,300 in recurring revenue.
What makes this setup extraordinary is its transparency. Every decision made by the AI models, from handling crises to negotiating deals, is name-checked, versioned, and public. The entire operation is a kind of high-stakes laboratory, where the effectiveness of AI in managing business is put to the test against real-world challenges.
The Tests and the Findings
- Four cutting-edge AI models were given identical scenarios — tough weeks faced by a small software company, with the same customers, crises, and temptations.
- All four models identified every crisis and refused every attempt at manipulation, including social engineering tricks like fake CEO messages and reporter tricks.
- Each model analyzed internal company documents, with those that read deeper into the company’s own files successfully closed a €55,000 deal, adding €4,583 in monthly recurring revenue.
- However, only two models signed the deal based on their own analysis; the others identified the opportunity but left it unexploited, revealing discipline lapses.
This experiment demonstrates that AI can indeed recognize crises and resist manipulation. But the real challenge remains: turning analysis into action. Despite similar insights, only half of the models completed the deal.
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Lessons for Business Management and AI Use
This ongoing live experiment offers crucial insights for anyone interested in AI’s role in business:
- AI can spot risks and opportunities with high accuracy, even under pressure or deceit.
- Reading internal documents deeply influences decision quality — models that read more tend to perform better.
- Discipline and follow-through remain the weak points, even in AI models that understand the situation well.
- Transparency and versioning allow observers to understand how decisions evolve and where failures occur.
The Company’s Real-Life Mechanics
The company itself is quite a spectacle: every weekday, its decisions and strategies are meticulously versioned, and every crisis, from customer complaints to internal slips, is logged in real time. It’s like watching a high-stakes chess game where each move is public and open for critique.
It’s important to note that the company is losing money: it burns €105,000 a month against a small revenue stream, with a public cash countdown. Yet, every decision made is openly recorded and accessible, providing a rare window into how AI manages complex, real-world operations — with all their imperfections and triumphs.
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Why This Matters for Woodworkers and DIY Enthusiasts
While this experiment may seem distant from your workshop, the underlying lessons are relevant. When choosing tools, attachments, or software, it’s not enough to look at how well they perform in ideal conditions. What matters is whether they can reliably handle the unexpected, stay honest under pressure, and actually get the job done — especially when stakes are high.
Just as a woodworking project requires discipline and attention to detail, managing an AI-driven business demands trustworthiness and follow-through. Watching this experiment live — and how the AI models perform — offers a glimpse into the future of automation and decision-making, even in your field.
This live AI business experiment reveals that decision accuracy, integrity, and discipline are crucial for automation success. Watching it unfold offers lessons on reliability — whether in software or woodworking — amid the chaos of real-world challenges.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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