Imagine an ice cream shop that operates entirely without staff, yet must make critical decisions—decisions that impact its survival and reputation. Now, picture watching this business navigate a week of crises, with every move watched and measured in real time. This is not a far-fetched dream but the reality of a groundbreaking experiment in the world of AI-driven management, brought to life by Firmulate.
The Live Experiment: An AI-Run Business in Action
At the heart of this bold venture is a small, virtual software company managed entirely by artificial intelligence models. Unlike traditional AI demos that focus on chat or simple tasks, this experiment simulates a functioning business with real money mechanics, public cash countdowns, and a set of over 680 self-learned playbook rules. Every workday, the company’s decisions are versioned and publicly accessible, providing a transparent window into how AI can handle real-world pressures.
Multiple AI Models, Same Challenges
The experiment tests four frontier AI models—each given the same role: run this small software business through its worst week. The week includes customer crises, internal dilemmas, and even social engineering attempts designed to test integrity. These models are evaluated based on their ability to diagnose issues, make decisions, and stay honest under pressure.
Performance and Insights
All four models successfully identified every crisis and refused manipulative tactics, demonstrating strong crisis awareness and ethical resistance. However, only two managed to close a crucial deal worth €55,000 in monthly recurring revenue. Interestingly, the decisive advantage for the winning models was their ability to read deeper into the company’s own files—specifically, information buried two document references deep. Those that did inform themselves fully were rewarded with the full deal, adding over €4,583 MRR.
Trust and Integrity Under Fire
The experiment also included social engineering tests—fake CEO messages escalating in severity and a reporter trick asking for a quick approval. All models refused these attempts, with the Kimi K3 model explicitly treating such requests as potential impersonation or bypass attempts. This highlights how AI, even when managing complex human-like interactions, can be trained to uphold integrity and resist manipulation.
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The Real Stakes: Burning Money While Building Trust
The live company operates at a stark financial deficit—burning €105,000 each month against a modest €2,300 MRR. The live site at firmulate.com/live.html offers a real-time view of this ongoing effort, where every decision, crisis response, and lesson learned is visible to the public.
The Opus 4.8 Profile: Deep Analysis, Missed Opportunities
The most thorough model, Opus 4.8, analyzed over 80 learned rules and performed deep evaluations. Despite its comprehensive approach, it left a promising deal unexecuted, illustrating that even with extensive analysis, discipline and decisive action remain challenging. This reveals how AI can struggle with execution, especially when discipline slips or when information is overlooked.
Implications for the Future of AI and Business
This experiment is more than a curiosity; it’s a glimpse into how AI could influence future management—whether in customer support, supply chain, or strategic decision-making. The key takeaway is the importance of trustworthiness and thoroughness. A model that reads deeply, resists manipulation, and executes decisively proves to be the most valuable.
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Why Should You Care?
If AI agents will someday manage your customer relationships, support queues, or strategic planning, it’s not just about how well they communicate. It’s whether they can see the full picture, stay honest under pressure, and finish what they start. As this live experiment demonstrates, that combination of transparency and rigorous testing is essential for building trustworthy AI systems that add real value, not just impressive chatter.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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