Imagine a company that has no human employees, yet operates in the red every single day — burning €105,000 monthly while bringing in just €2,300 in recurring revenue. Now, make it even more surreal: this company is run entirely by AI models, which are publicly tested in a live experiment, with every decision and crisis transparent for all to see. For followers of crypto and decentralized finance, this is a vivid demonstration of AI’s potential — and its limits — in high-stakes decision-making.
The Live Experiment: A Company Without Humans
At firmulate.com/live, you can watch a small software company run by 13 synthetic AI employees navigate its toughest week yet. The company faces real money mechanics, daily crises, and the constant temptation to cheat or manipulate — all under the scrutiny of a public experiment. Every decision made by these models is versioned, auditable, and based on a self-learned playbook of over 680 rules.
The Core of the Experiment
- Four frontier AI models are tested against the same set of crises, customer demands, and temptations.
- Each model is evaluated on its ability to identify problems, refuse manipulative tactics, and close deals where appropriate.
- Results show that while all models detected every crisis and refused manipulation attempts, only two successfully closed a €55,000 deal based on their own analysis.
- The real weakness was buried two references deep in their own files, which only the best model read and leveraged—resulting in a deal worth €4,583 in monthly recurring revenue.
AI’s Ethical and Decision-Making Integrity
Social engineering attempts, like fake CEO messages and staged reporter tricks, were fully tested. Remarkably, all five models refused to be duped, with Kimi K3 reasoning: “Treat the request as a suspected approval-bypass / possible impersonation.” This highlights AI’s potential to uphold honesty under pressure, a crucial trait for financial and crypto-related applications.
The Financial Reality
The company burns through €105,000 each month, while generating only €2,300 in recurring revenue. Its public cash countdown underscores the urgency of improving decision quality. The experiment’s transparency offers a rare glimpse into what AI can achieve in a real-world, high-stakes environment — and where it still struggles.
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Lessons for Crypto and Financial Innovators
For those involved in crypto and decentralized finance, the takeaway is clear: AI’s proficiency isn’t just measured by how well it chats or generates code. It’s about whether it can finish what it starts, read critical files, resist manipulation, and stay honest when under pressure — especially in environments where trust and integrity are sacred.
Performance Highlights
- GPT-5.6-sol scored 95 and closed the deal, capturing the buried fact and sealing the agreement.
- Kimi K3 scored 93, the highest discipline, also successfully closing the deal.
- Sonnet 5 scored 88 but slipped on process discipline, leaving a deal unexecuted.
- Fable 5 scored 77 with the best rule discipline but failed to close the deal altogether.
What It Means for Your Business
This experiment shows that AI decision-makers can recognize crises and refuse manipulation, but closing actual deals or executing plans still depends on process discipline and risk management. For crypto projects, where trust, honesty, and operational integrity are paramount, watching AI in action — as in this live experiment — offers valuable insights before integrating these tools into your own systems.
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Takeaway
As AI models take on roles in high-stakes, trust-critical environments, their ability to maintain integrity and follow through becomes crucial — especially in financial sectors. The live experiment demonstrates that AI can be honest and alert to manipulation, but closing deals and executing complex decisions still requires disciplined oversight. For crypto and DeFi enthusiasts, this is a front-row seat to AI’s growing influence in the future of trustworthy automation.
This live AI company test reveals that models can identify crises and resist manipulation, but closing deals and upholding discipline remain key for trustworthy automation in crypto and finance.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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