What if you could see an AI manage a business — live, every day, fighting for its survival?
Imagine a company with no employees, losing money daily, but constantly making decisions, learning, and adapting. This isn’t fiction; it’s a real, transparent experiment you can watch unfold at firmulate.com/live.html. For families and parents, it’s a window into how artificial intelligence can be tested, trusted, or challenged — just like raising children, where discipline, honesty, and decision-making matter most.
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The Firmulate Live Experiment: An AI Company Under Pressure
At the heart of this experiment is a tiny, entirely synthetic company with 13 virtual employees and a very real cash burn of €105,000 each month against a revenue of just €2,300. Every workday, the company’s decisions are versioned and made public, creating a transparent story of struggle, success, and sometimes failure. It’s a live portrait of an AI-driven business trying to stay afloat, showcasing the limits and strengths of artificial decision-making.
Real Crises, Real Money, Real Decisions
The experiment ran four different frontier AI models through the same tough week — facing the same customer issues, crises, and ethical temptations. Despite the chaos, all four models successfully identified every crisis and refused every manipulation attempt, demonstrating honesty and resilience. Yet, only two of these models managed to close a critical deal worth €55,000, which their own analyses confirmed they deserved. The other two failed, leaving potential revenue on the table because of missed opportunities or process slips.
The Hidden Weakness
The surprising fact? The key vulnerability wasn’t in the obvious customer interactions but buried two documents deep in the company’s internal files. Models that took the time to read beyond the surface and analyze internal data secured the deal at full price, adding +€4,583 monthly recurring revenue (MRR). This underlines how crucial thorough information processing is for decision quality — especially when stakes are high.
Honesty Under Pressure
Social engineering tests simulated fake CEO messages and reporter tricks designed to push the company into unethical behavior. All five AI models refused to be duped, with Kimi K3 reasoning: “Treat the request as a suspected approval-bypass / possible impersonation.” This showcases an emerging AI trait — a principled stance against manipulation, vital for trustworthiness in real-world applications.
The Live Business: An Ongoing Battle
This synthetic company operates with a complex set of rules learned over time — over 680 self-learned playbook rules — and every decision is recorded and versioned. Despite this, it’s losing €105,000 a month with a mere €2,300 in revenue. The live site at firmulate.com/live.html allows anyone to observe this ongoing struggle, highlighting the chasm between AI’s potential and its current limitations in real-world management.
Insights from the Models
Among the tested models, Opus 4.8 — the most thorough participant with over 80 learned rules — scored the lowest in the experiment. It left the deal unexecuted and made process slips, illustrating that more rules and analyses don’t guarantee better performance. Meanwhile, Kimi K3 ran without an effort parameter, emphasizing that even with less aggressive settings, AI can still perform reliably in disciplined decision-making.
Why This Matters for Families and Managers Alike
Just as parents must decide whether their children will follow through on commitments or resist temptation, businesses rely on their AI tools to do the same. The experiment shows that AI can recognize crises, refuse unethical shortcuts, and even uncover hidden internal truths — but only if designed and managed carefully.
For families, this underscores an essential lesson: honesty, discipline, and thoroughness matter, whether in raising children or managing complex systems. The live experiment at firmulate.com/live.html offers a fascinating glimpse into how AI is tested under pressure, with real stakes, in a transparent environment — a story that echoes the importance of integrity and diligence in everyday life.
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Key Takeaway: Trust, Honesty, and Diligence in AI and Parenting
Just like children, AI systems must be honest, disciplined, and thorough to succeed — especially under pressure. The live experiment at Firmulate shows that transparency and rigorous testing are crucial for building trustworthy automation, whether in business or family life.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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