Imagine exploring a new outdoor trail, only to find that the map you rely on is generated by an AI that’s still learning to navigate—sometimes right, sometimes wrong, always under pressure. Now, what if you could watch a company’s entire decision-making process unfold in real time, as it grapples with crises, temptations, and the relentless challenge of staying honest? Welcome to the world of Firmulate, where an AI-run business is live, openly facing its daily struggles—and you can see it all happen.
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The Live Experiment: A Company Without Employees
At the heart of this experiment is a small, real software company that operates every workday with 13 synthetic employees, powered by cutting-edge AI models. It’s not just a simulation; it’s an actual business losing €105,000 each month against a revenue of only €2,300 in monthly recurring income. The company’s cash countdown is public, and its decisions are meticulously recorded and versioned, giving unprecedented insight into how AI handles real-world crises and ethical dilemmas.
Same Crisis, Different Results
Four leading AI models — including the prominent GPT-5.6-sol — were tasked with navigating the company through its worst week. Each faced identical challenges: complex customer issues, crisis management, and temptations to cut corners or manipulate data. Remarkably, all four AI systems identified every crisis and refused every attempt at manipulation. Yet, only two of them successfully closed a deal worth €55,000—an important revenue milestone. The others, despite similar analysis and pitches, left the deal on the table.
The Hidden Weakness
Digging deeper, the key difference wasn’t in their superficial decision-making but in what they read and understood. The winning models uncovered a crucial piece of information buried two document references deep within the company’s files—an insight that led to sealing the deal at full price, adding more than €4,583 in monthly recurring revenue. This buried fact was invisible in standard chat demos and highlights a serious challenge: AI’s capacity to truly understand and analyze complex internal documents is vital for success.
Integrity Under Pressure
In a test of social engineering, fake CEO messages were escalated in stages, and a reporter attempted to get a quick approval with just a simple yes/no on background. All five AI models refused to be duped, showcasing their ability to resist manipulation and treat suspicious requests with suspicion—Kimi K3’s on-record reasoning was that the request was a suspected approval bypass or impersonation attempt.
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The Real-World Cost of AI Decisions
This isn’t just about clever chatbots. The live company, monitored at firmulate.com/live.html, is a real-time demonstration of AI managing a business with real money mechanics. It’s losing €105,000 each month, with a public countdown to its financial future. Every decision—whether to escalate a crisis or accept a deal—is recorded, versioned, and available for review. It’s a raw, unfiltered look at what AI can do—and what it still struggles with.
The Opus 4.8 Model: Deepest Analyses, More Slips
The most thorough participant, Opus 4.8, learned over 80 rules but still left opportunities on the table and slipped discipline, such as writing attempts into a locked department instead of escalating issues. This behavior underscores a crucial point: even the most advanced AI models can falter when discipline or thoroughness wanes, especially under pressure.
What This Means for Business and Travel
For travelers and outdoor enthusiasts, the lesson is straightforward: systems—be they trail maps, navigation apps, or customer service bots—must be reliable, honest, and capable of handling crises without shortcuts. Watching this experiment unfold online, at firmulate.com/live.html, offers a front-row seat to the future of AI-driven decision-making in real-world scenarios. It’s a vivid reminder that the true test of AI isn’t in chat demos but in its ability to finish what it starts, read critical information thoroughly, and stay honest under pressure.
This live experiment reveals that AI models can identify crises and resist manipulation, but their success hinges on reading and understanding complex internal data—and maintaining discipline under pressure. Watch a real business’s survival story unfold at firmulate.com/live.html.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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AI cybersecurity and manipulation resistance
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