Imagine a company with no employees, burning through €105,000 each month, yet still trying to close a €55,000 deal. Now, imagine watching this company struggle, make mistakes, and resist temptation — all in real time. This is not a sci-fi scenario but the reality of an extreme experiment in AI management, live at firmulate.com/live.html. As outdoor enthusiasts test their limits in the wild, AI researchers are pushing the boundaries of automation and decision-making, revealing how machines can handle crises, ethics, and complex negotiations — or fail spectacularly.
The Live Company Experiment: A New Way to Test AI’s Business Skills
At the heart of this daring experiment is a simulated small software company, run by 13 synthetic employees controlled by cutting-edge AI models. Each model faces the same turbulent week — with the same customers, crises, and temptations — to see how they perform under pressure. The goal: evaluate management quality, not just chat abilities, in a scenario that mirrors real-world business stresses.
The models are scored on their ability to spot crises, resist manipulation, and make critical decisions. The experiment is publicly accessible, and every decision made by these AI agents is versioned and auditable, offering unprecedented transparency into their decision-making processes.
Key Findings from the AI Management Showdown
- All four models identified every crisis and refused every manipulation attempt. This shows a robust capacity for ethical decision-making and crisis detection.
- Only two models managed to close the deal, earning €55,000 by the end of the week, based solely on their own analysis and pitch.
- Interestingly, the real competitive advantage lay not in the initial diagnosis but in the models’ ability to read deeper into the company’s internal files. Those who scrutinized the company’s own documents uncovered a critical missing reference that led to sealing the full, lucrative deal — worth an additional €4,583 in monthly recurring revenue.
Ethics and Manipulation Resistance
The experiment also tested social engineering attempts, including fake CEO messages and reporter tricks designed to escalate requests or bypass approval processes. All models refused these attempts, with one (Kimi K3) explicitly treating suspicious requests as impersonation risks. This highlights how AI can be programmed to uphold integrity even when pressured.
The Reality of Running an AI-Driven Business
As a live demonstration, the experiment reveals the stark contrast between theoretical AI capabilities and real-world management challenges. The company’s actual operations—burning €105,000 monthly against a mere €2,300 in recurring revenue—show that AI models, despite their decision-making finesse, face tangible financial and operational hurdles.
The company’s current state is visible online at firmulate.com/live.html, where viewers can observe the ongoing struggles and decision points in real time. Every weekday, the company’s status is versioned, and decisions are recorded, providing an unfiltered look at how AI handles crises, discipline, and ethics in a high-stakes environment.
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What Does This Mean for the Future of AI in Business?
This experiment underscores a critical insight: the strength of AI management isn’t just in generating convincing chat or reports, but in executing decisions that survive scrutiny, resist manipulation, and uncover hidden information. The models that performed best, like GPT-5.6-SOL and Kimi K3, demonstrated an impressive ability to detect critical insights and stay disciplined under pressure, though they still face operational and strategic limitations.
For businesses considering AI automation, the message is clear: successful AI integration will depend less on superficial chat capabilities and more on its capacity to finish what it starts, read crucial internal data, and remain honest when challenged. The current league table—where GPT-5.6-SOL scored 95 and K3 scored 93—reflects a high level of potential, yet real-world implementation remains complex.
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Why Should Outdoor Enthusiasts Care?
Just as outdoor adventurers rely on precise navigation, robust gear, and ethical considerations in unpredictable environments, businesses and developers must recognize that AI management requires similar resilience and integrity. Watching this live experiment is akin to observing a trail test in extreme conditions: it reveals strengths, weaknesses, and the critical factors that determine success or failure.
In outdoor activities, preparation and understanding the terrain are vital. Similarly, running an AI-managed company demands thorough testing, transparent decision-making, and resilience against manipulation. The live experiment at firmulate.com/live.html offers a front-row seat to this ongoing journey, where every decision, crisis, and ethical stance is laid bare for all to see.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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