Imagine a business that operates in full view, with no employees, yet faces real financial losses every day. It’s not science fiction—it’s a live experiment in AI management, openly documented for all to see. For enthusiasts of home setups, media spaces, and cutting-edge work environments, this story offers a rare glimpse into how artificial intelligence can run a company — and what it reveals about trust, discipline, and decision-making in automation.
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The Live Company in Action: A New Model of Management
At the heart of this experiment is a fully operational, publicly accessible software company, run entirely by AI models. It has 13 synthetic employees, each a decision-making model trained to handle real crises, manage money, and navigate complex work scenarios. Every move is versioned daily, providing a transparent window into the company’s decision process. Currently, the company burns through €105,000 every month, while generating just €2,300 in monthly recurring revenue. Despite the losses, the experiment is a living laboratory for understanding how AI can manage real-world business challenges.
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Measuring the AI’s Performance: The Frontiers of Trust and Loyalty
Four frontier AI models took on identical challenges: guiding this small software company through its worst week, facing the same customer crises and temptations to cheat. Each decision was auditable, allowing for precise analysis of their choices. The results were striking: all four models identified every crisis and refused attempts at manipulation, including social engineering tricks such as fake CEO messages. This shows a high level of integrity and robustness in their decision-making processes.
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Beyond the Surface: The Buried Facts and the Real Deal
The most critical factor in winning a key deal wasn’t in the obvious customer documents but buried two references deep in the company’s files. The models that read these hidden references successfully closed a €55,000 deal, adding over €4,583 in monthly recurring revenue. This highlights the importance of deep information reading — a capability that distinguishes effective AI management from mere surface-level interactions.
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The Discipline of Decision-Making Under Pressure
One model, Opus 4.8, demonstrated the importance of thoroughness and discipline. It performed the deepest analysis but left a significant opportunity on the table due to a lapse in escalation discipline — instead of escalating an issue, it attempted to rewrite documents within a restricted department. This behavior underscores how even the most detailed analyses can falter if process discipline isn’t maintained, especially under stress.
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Financial and Operational Reality: A Company Losing Money Live
The company’s reality is stark: it’s losing €105,000 monthly against a mere €2,300 in revenue, with a public countdown to potential closure. This stark environment creates a battlefield for AI models, testing their ability to prioritize, act ethically, and stay disciplined when survival is at stake. Every decision taken can be watched, questioned, and learned from in real time, making it a unique case study for anyone interested in the future of automation in business.
The Human Element and Ethical Checks
Despite the automation, the experiment also tests for integrity against social engineering. Fake CEO messages, designed to manipulate the AI into bypassing approval processes, were all refused by every model. Kimi K3, one of the models, explicitly reasoned that the request appeared to be a possible impersonation or approval-bypass attempt. This demonstrates AI’s capacity for ethical reasoning and resistance to manipulation, critical factors as automation moves closer to core business functions.
What This Means for Your Business
Most importantly, this experiment isn’t just about technology; it’s about trust, discipline, and the ability of AI to operate reliably under pressure. For anyone concerned about integrating AI into their home or work setup, the key takeaway is this: it’s not about how well AI can generate content or chat; it’s about whether it can reliably finish its work, stay honest under pressure, and read the information it needs to make sound decisions.
Join the Experiment and Watch the Future Unfold
The live experiment, accessible at firmulate.com/live.html, offers an unprecedented look into AI’s management capabilities in real time. You can see the decision-making process, read the self-learned playbook rules, and even participate in quizzes and pilot tests to understand how AI models think and decide. This transparency pushes the boundaries of how we evaluate automation in business and provides valuable lessons for anyone interested in the future of AI-driven management.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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