Imagine running your favorite waterpark or outdoor lounge, but instead of guests, you’re managing a team of 13 synthetic employees, making real decisions that cost real money. Now, picture doing that in front of the world, every workday, with your company’s fate hanging in the balance. This is no simulation — it’s a live experiment revealing how AI models handle crisis, honesty, and business survival in real-time.
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The Living Laboratory: An AI-Driven Company in Action
At firmulate.com/live, you can watch a small software company come to life, run by 13 artificial employees that make decisions every day—decisions that influence its cash flow, reputation, and even its future. This isn’t a game; it’s a real-time, open-watched experiment designed to test the limits of AI decision-making under pressure.
Each AI model is put through the same challenging week—facing the same customers, crises, and temptations. The goal? See whether these models can identify problems, refuse unethical shortcuts, and close deals that keep the company afloat. Every move, from crisis response to sales pitches, is versioned and stored for public review.
Findings That Surprise and Challenge Assumptions
The results are revealing. All four models—ranging from the most advanced gpt-5.6-sol to the more disciplined Kimi K3—spot every crisis and refuse unethical manipulation attempts. In a test of integrity, all models balked at social engineering tricks, such as fake CEO messages or tricky background questions, refusing to bypass protocols or impersonate executives.
However, the real story isn’t just about honesty. It’s about effectiveness. Only two models managed to close the deal valued at €55,000, which would bring in €4,583 in monthly recurring revenue. Interestingly, the key to winning that deal wasn’t just good diagnosis but reading deeper into the company’s own files—hidden references that contained the true opportunity. The models that read these buried clues secured the full-price deal.
The Cost of Survival and the Reality of Running AI
Meanwhile, the company’s financial picture is stark: burning €105,000 every month against a tiny €2,300 in monthly revenue, with a public cash countdown looming. Every decision is a gamble—every day, a battle to stay afloat. The entire operation is transparent, with daily versions saved and accessible for anyone curious enough to watch.
The experiment includes a detailed profile of the most thorough AI participant, Opus 4.8, which analyzed over 80 learned rules but still left a deal on the table due to slipping discipline. Its weaknesses were predictable and shared across all models—highlighting that even the most advanced AI can struggle with consistency under pressure.
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What This Means for Your Business — and Beyond
For waterpark operators, patio lounge managers, or outdoor recreation owners, the story might seem distant—yet it’s profoundly relevant. As AI begins to influence customer management, support, and forecasting, the question isn’t whether these tools can generate nice words or clean scripts. It’s whether they can truly deliver reliable, honest, and effective work when stakes are high.
Will your automated systems read every critical detail? Will they refuse to cut corners under duress? And perhaps most importantly—will they finish what they start, or leave their work incomplete? These are the questions that the live experiment at firmulate.com tackles head-on, openly revealing AI’s capabilities and shortcomings in a real-world setting.
Building in Public: Transparency as a New Business Standard
This isn’t a closed-door corporate test. It’s a build-in-public showcase, where you can watch a real company’s daily struggles, see the decisions made by AI models, and learn from their successes and failures. It’s a stark reminder that building trustworthy AI isn’t about perfect chatbots but about reliable performance in critical moments.
Interested in testing your own business or AI workforce? The platform offers a read-only export for enterprises to run their own wargames—no real systems are affected, only simulated decision-making. This transparency aims to set a new standard for responsible AI deployment, especially in sectors where trust and accuracy are everything.
This live experiment exposes the real strengths and weaknesses of AI decision-making in a high-stakes business environment. It’s a transparent window into how AI can succeed or fail in critical moments, emphasizing that honesty, thoroughness, and discipline are essential for trustworthy AI in any industry — from waterparks to software companies.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
