Imagine if the AI systems managing your family finances or scheduling your child’s activities could outperform human managers — not just in chat, but in making tough decisions during real crises. That’s the promise—and test—behind a groundbreaking experiment in AI management, now open for public viewing.
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In a recent live experiment conducted by Firmulate, four advanced AI models were tasked with running a small software company through its most challenging week. The goal? To see which AI could best handle crises, resist manipulation, and ultimately, close a significant deal — all in real-time, with real money at stake.
The Challenge: Testing AI Under Real-World Stress
The test was designed as a high-stakes scenario, where each AI model faced the same set of crises, customer interactions, and temptations to cheat or manipulate. Every decision was recorded and auditable, simulating the complexities of actual management. The models had access to the company’s documents, customer histories, and internal files, just as a human manager would.
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Key Findings: Beyond Chat Quality
The results shed light on a critical question: does an AI merely produce convincing chat responses, or can it genuinely manage a business? All four models identified every crisis, refused all manipulative tactics, and stayed honest under pressure. Yet, only two managed to secure the €55,000 deal, which was earned through proper analysis and disciplined decision-making.
The standout performer, gpt-5.6-sol, scored 95 points out of 100, just behind the leading model, Kimi K3, which scored 93. Despite being the newcomer, K3 demonstrated the cleanest discipline, reading deeper into the company’s own files to uncover hidden issues that sealed the deal.
The Hidden Weakness: Reading Between the Lines
The decisive advantage came from understanding internal documentation, not just reacting to external crises. The models that examined references two levels deep within the company’s files discovered crucial information that others missed. This deep reading allowed K3 to identify a buried security issue, making a difference between a failed deal and a €4,583 monthly recurring revenue boost.
Resisting Social Engineering and Manipulation
In one test designed to simulate social engineering, fake CEO messages and reporter tricks were used to see if the AI would be duped. All four models refused to act on these questionable requests, with K3 explicitly treating the messages as suspicious or impersonation attempts. This shows the potential of these systems to maintain integrity under pressure.
The Real Business: Live, Learning, and Losing Money
The experiment was not just theoretical. It involved a real, operational company with 13 synthetic employees, managing real money mechanics worth €105,000 per month against a slim €2,300 monthly revenue. Every decision made by the AI was recorded, analyzed, and learned from, creating a transparent view of AI decision-making in action.
Why Does This Matter for Families and Parents?
Just as a manager navigates crises and manipulations to keep a company afloat, parents juggle countless challenges—scheduling, safety, financial decisions, and social pressures. The experiment highlights an essential truth: AI systems that can read deeply, stay honest, and resist manipulation could someday assist families in managing complex, sensitive issues more reliably than current chatbots or basic digital assistants.
The Takeaway: Choosing the Right AI Matters
This experiment underscores the importance of selecting AI tools based not just on how well they chat, but on their ability to finish tasks, read critical information, stay disciplined, and act honestly under pressure. For families, this means future AI helpers could become more trustworthy partners in managing household or financial crises—if they are built and tested with these real-world capabilities in mind.
Fairness and Transparency
It’s worth noting that Kimi K3 was run without an effort parameter (the API default), while the other models ran at xhigh, ensuring a fair comparison. This transparency in testing reinforces that the best AI solutions are those proven in real, challenging scenarios—not just in neat chat demos.
The live experiment shows that future family AI helpers should be evaluated on their ability to handle crises, read deeply into documents, resist manipulation, and finish what they start—qualities that are crucial for trustworthy support in everyday life.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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