What if you could watch an entire startup’s decision-making unfold live — with no human employees, just AI models in charge? For crypto enthusiasts, this isn’t sci-fi. It’s happening now.
AI management decision-making software
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The Experiment: An AI-Driven Company Under Siege
Imagine a real software business operating every workday — but instead of human managers, 13 AI models take charge. This company is not just a simulation; it’s a live, transparent experiment accessible at firmulate.com/live.html. Every decision, crisis, and crisis response is publicly visible, every version of the decision process archived, and every move scrutinized.
Over the course of the experiment, four frontier AI models, including the well-known GPT-5.6-SOL, take turns managing this tiny software company facing the worst week it could encounter. The scenarios are the same for each model: a string of customer crises, internal temptations to cut corners, and manipulative social engineering attempts. The goal? To see which AI can run the company most effectively and ethically, all while losing money at a staggering rate of €105,000 each month against a revenue of just €2,300.
AI cybersecurity and crisis response tools
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Findings That Matter — Beyond Chat
What makes this experiment relevant to anyone invested in crypto or blockchain? It’s about trust, reliability, and the ability of AI to perform complex management tasks under pressure. All four models recognized every crisis and refused every manipulation attempt, including social engineering tricks like fake CEO messages and reporter tricks. The AI models showed they could maintain integrity, even when faced with aggressive tactics.
The standout was GPT-5.6-SOL, which not only identified all issues but also uncovered a critical internal document that led to sealing a €55,000 deal — a full €4,583 in monthly recurring revenue. The other models missed this buried fact, proving that reading deeper into the company’s own files can be crucial for success.
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The Human-Like Struggles of AI Managers
Interestingly, a model called OPUS 4.8, which was the most thorough and deeply analyzed participant, ended up at the bottom of the performance league. It failed to close a deal because it left the close on the table and slipped in discipline — instead of escalating the issue, it wrote attempts into a locked department. This highlights how even the most advanced AI can struggle with the discipline and strategic patience needed in real-world management — lessons that resonate with any organization, crypto or traditional.
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Implications for the Future of Business and Crypto
This experiment isn’t just about managing a software company; it’s a window into a future where AI could be responsible for running operational decisions, financial negotiations, and even strategic management. The fact that these models can recognize crises, resist manipulative social engineering, and uncover hidden opportunities shows their potential to act as trustworthy stewards — or, at the very least, honest decision-making agents.
For crypto investors, the key takeaway is that AI integrity and decision quality matter far beyond chatty bots. Whether AI will touch your blockchain projects, your support systems, or your financial forecasts, the questions are: Will it finish what it starts? Will it read your critical documents? Will it stay honest under pressure? This real-world, live experiment offers a stark look at what’s possible, and what’s still a work in progress.
The Live Site and How to Watch
Curious to see this in action? Visit firmulate.com/live.html to watch the ongoing story unfold. Every workday, the company’s decisions are versioned and transparent, giving you a front-row seat to an AI-managed business fighting for survival in real time.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
