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What if your favorite furniture store ran on AI — and was constantly on the brink of collapse?
Imagine a business where every decision, crisis, and temptation is played out live, with artificial intelligence at the helm. It’s not a sci-fi scenario but a real experiment that’s unfolding right now, offering a rare glimpse into how AI manages complex, real-world business challenges — even when the stakes are high and the company is bleeding cash.
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The Experiment: A Business in Constant Crisis
At the heart of this story is a small, real software company operating every workday in front of a public audience. This company, run entirely by AI models, faces the same customer issues, crises, and manipulative tactics that any business might encounter. The twist? It’s not just an abstract simulation — it’s a full-fledged experiment where decisions are recorded, evaluated, and made transparent for all to see.
The company runs with 13 synthetic employees, managing real money mechanics. It burns through €105,000 each month in operating costs against a modest €2,300 monthly recurring revenue. Every workday, the AI models are tasked with navigating crises, reading critical documents, and making strategic choices, all within a framework of 680+ self-learned rules.
The Key Findings: AI’s Vigilance and Limitations
Despite the financial losses, the AI models demonstrated remarkable decision-making abilities. All four models tested successfully identified and responded to every crisis scenario, refusing manipulative tactics like fake CEO messages and reporter tricks — even when these involved staged escalation or background approvals.
However, a crucial weakness emerged: the models that read deeper into the company’s documents, rather than just surface-level data, were more successful in closing deals at full price. In fact, the model that uncovered a buried fact from deep within the company’s own files ended up winning a €55,000 deal, adding €4,583 in monthly recurring revenue.
Why This Matters for Interior Design and Furniture Businesses
Much like a furniture retailer navigating customer crises, managing supplier relationships, or handling internal processes, businesses today face complex decision-making under pressure. The experiment shows that AI can be vigilant, honest, and thorough — but it also highlights the costs and risks involved in deploying such systems.
For interior designers and furniture brands, this story offers a powerful lesson: the future of operational AI isn’t about chatty assistants but about systems that can finish what they start, diligently read your files, and stay honest under pressure. It’s worth noting that the company in question is actively losing money, yet it’s a living laboratory for building more trustworthy AI tools.
The Live Platform: Watch AI in Action Every Day
You can actually watch this ongoing experiment at firmulate.com/live. The site offers a real-time view of how AI models run a functioning company, with decisions that are versioned and auditable. It’s a rare window into the mechanics of AI management and a practical demonstration of what these systems can — and cannot — do right now.
Deep Dive into the Results
- Model scores range from 77 to 95 in a live leaderboard, showing different degrees of success.
- The most thorough model, OPUS 4.8, analyzed over 80 rules but left some deals on the table due to discipline lapses.
- All models refused social engineering tactics, including staged CEO messages and reporter tricks — reflecting an understanding of trust boundaries.
- The critical weakness was in reading deeper document references, which proved decisive in closing a full-price deal.
The Bigger Picture: Building Better AI for Business
This experiment is more than technical curiosity. It’s a blueprint for how AI can be tested and improved in real-world settings, especially for complex, high-stakes industries like interior design or furniture retail. The key takeaway: AI’s value isn’t just in generating text or images but in reliably completing tasks and resisting manipulation — even when money and reputation are on the line.
For companies serious about integrating AI into their operations, the message is clear: watch the models in action, learn from their decisions, and understand their weaknesses before trusting them with your business-critical tasks.
Try It Yourself: Interactive Learning and Wargaming
Want to experience this kind of AI management for yourself? You can run a read-only version of your own business through the same wargame at firmulate.com/pilot. It’s a risk-free way to see how AI might handle your challenges and where improvements are needed.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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