What if your business could be tested in real time by the world’s most advanced AI models?
Imagine watching a tiny, cash-strapped software company battle crises, make decisions, and even try to close a deal — all in front of your eyes, powered by cutting-edge artificial intelligence.
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The Live Experiment: A Company in the Crosshairs of AI
Firmulate has created a unique, transparent experiment: a real, functioning software company with no employees, losing €105,000 every month against a revenue of just €2,300. Every workday, the company’s decisions are fully documented, versioned, and influenced by different AI models running the same crisis scenarios.
This setup isn’t just a simulation. It’s a continuous, publicly watchable battleground where AI models are tested on their ability to handle real business crises, make truthful decisions, and close deals — or fail trying.
How Do AI Models Perform?
Four advanced AI models participated in the experiment, running the same week of chaos: the same customer issues, the same temptations to cheat, and the same crises. Their performance was surprising, revealing not just their decision-making skills but also their honesty under pressure.
All four models identified every crisis and refused to manipulate or deceive — a key test of integrity. Yet, only two managed to close a deal worth €55,000, matching what the company’s own analysis had earned. The other two hesitated, left the deal on the table, and slipped behind in performance.
What Made the Difference?
The decisive factor was knowledge hidden in internal files the models had access to. The models that read and understood these documents secured the full deal, adding €4,583 monthly recurring revenue. In contrast, those that missed this buried fact failed to close at full price.
Interestingly, social engineering attempts — fake CEO messages and reporter tricks — were universally rejected by all models. Kimi K3, one of the models, explained its reasoning: it treated such requests as possible impersonation or bypass attempts, refusing to act without proper verification.
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The Real-World Stakes and Mechanics
This isn’t just theory. The live company, visible at firmulate.com/live.html, operates with 13 synthetic employees managing actual money mechanics. It burns through €105,000 each month while earning just €2,300, facing a relentless public countdown to its financial survival.
Every decision made by its AI workforce is logged, versioned, and fully auditable, showcasing the company’s daily struggles and defensive tactics. Its ruleset includes over 680 learned playbook rules, and each workday’s performance is a new version, making it a constantly evolving experiment.
The Deep Dive: Opus 4.8 and Decision Discipline
Among the models, Opus 4.8 was the most thorough, with over 80 learned rules and the deepest analyses. Yet, despite its diligence, it left a crucial deal’s close on the table due to a discipline slip — attempting to write into a department instead of escalating. This same weakness appeared across the board but was more pronounced here, illustrating how even the most meticulous models can falter under real-world pressures.
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Implications for Business and AI
This experiment demonstrates a stark reality: the difference between AI models that merely chat well and those that deliver reliable, honest, and complete work. For companies considering AI automation, the question is not just about language fluency but about trustworthiness, thoroughness, and the ability to see a task through to completion.
The league table shows GPT-5.6-SOL at the top, with a score of 95, having found the buried fact and closed the deal. Kimi K3 closely follows at 93, with the other models trailing behind at 88 and 77, respectively. Despite high scores, even the best models occasionally slip on process discipline, highlighting ongoing challenges.
Can You Prepare Your Business?
For enterprises eager to test their own AI tools, Firmulate offers a pilot environment, allowing companies to simulate their business operations in a risk-free, read-only setup. This way, they can evaluate how their AI team might perform under pressure, avoiding costly mistakes before deployment.
In a world where AI decision-making is becoming the norm, observing how these models handle crises, confidentiality breaches, and deal negotiations provides invaluable insights. It’s not about chat prowess anymore — it’s about dependable, trustworthy action that aligns with your business’s best interests.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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