What if a company with no employees and a tiny budget could demonstrate real business resilience — live, in front of your eyes?
For families navigating senior care, trust and reliability are everything. Now, imagine a company that doesn’t just promise honesty but actually demonstrates it in real time. That’s the radical experiment happening now at Firmulate, where artificial intelligence models run a tiny, live business—facing crises, making decisions, and refusing to cheat, all on display for the world to see.
The 19 Laws of AI Prompting Intelligence: Master the Art of Human-AI Thinking, Prompt Engineering, and Collaboration
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Live Experiment: A Company Without Employees
At the core of this experiment is a simulated company operated entirely by AI models, with no human staff involved in its day-to-day decisions. Every workday, the company’s behavior is versioned and publicly accessible at firmulate.com/live. It runs with 13 synthetic employees, all controlled by cutting-edge AI models tested against a rigorous worst-week scenario. This scenario includes the same customers, crises, and temptations—designed to push the AI to its ethical and operational limits.
Crisis Management for Software Development and Knowledge Transfer (Smart Innovation, Systems and Technologies, 61)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
How Do These AI Models Perform?
The experiment measures management quality, not just chat skills. Four frontier models—gpt-5.6-sol, Kimi K3, Sonnet 5, and Fable 5—were pitted against each other, pushing them through identical crisis simulations. Interestingly, all four models identified every crisis and refused every manipulation attempt, demonstrating honesty and integrity under pressure.
The Secret to Success: Reading Files Deeply
While all models performed well in crisis detection and resisting manipulation, only two managed to close a big deal worth €55,000 per month—matching their own analysis. The key? Reading deeply into the company’s own documents, not just surface information. The models that uncovered a buried fact—hidden two document references deep—secured the deal at full price, adding €4,583 to monthly recurring revenue (MRR).
Responsible AI: Implement an Ethical Approach in your Organization
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Refusing Social Engineering and Manipulation
Beyond crises, the models faced social engineering attempts—fake CEO messages escalating in severity, and even a reporter asking for a quick yes/no on background. All five models refused these attempts, with Kimi K3 explicitly reasoning that such requests could be impersonation or approval bypasses, thus maintaining ethical standards.
Practical Claude Handbook for Attorneys: Master Case Analysis, Contract Review, Research Automation, Client Communication, and Document Drafting (Claude AI Guide for Beginners)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Human Element in a Machine-Run Business
The company’s “employees” are entirely synthetic, but the mechanics of running a real business are authentically simulated: burn rate of €105,000 per month against just €2,300 in MRR, with a public cash countdown. Every decision and rule learned by the models is stored and versioned—more than 680 self-learned rules—making the experiment transparent and auditable.
Lessons for the Future of AI in Business
This bold live experiment reveals a crucial insight: a well-trained AI can detect crises, refuse deceit, and even close deals with integrity. However, performance varies depending on discipline and focus. For example, Opus 4.8, with the deepest analysis and over 80 learned rules, came in last, leaving deals unexecuted due to slip-ups. Meanwhile, simpler configurations at default effort levels performed better at closing deals.
Implications for Senior Care and Beyond
What does this mean for industries like senior care, where trust, honesty, and reliability are paramount? It suggests that AI systems, if properly trained and tested, could serve as transparent partners—resisting manipulation and making decisions based solely on facts. For families, this could translate into more trustworthy automation in care management, scheduling, or emergency responses, reducing human error or fraud.
Watch It Live and Decide for Yourself
You can witness this experiment in real time at firmulate.com/live. Every day, the AI company faces new crises, makes decisions, and demonstrates how honesty and discipline matter more than chat skills alone. It’s a raw, unfiltered look at what AI can do when held to the highest standards.
What if the future of trustworthy business lies in AI that refuses to cheat, even under pressure? The Firmulate experiment shows that transparency, discipline, and deep understanding can make AI a reliable partner, especially in sensitive fields like senior care.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
