Imagine having a virtual executive team that not only spots every crisis but also decides whether to seal a deal — and actually follows through. For smart home device companies, understanding what AI truly delivers could change the way products are managed and sold.
The Experiment: Putting AI Models to the Test in a Live Business Simulation
Recently, four advanced AI models faced the ultimate test: running a real, live software company through its worst week. This wasn’t a simple chat demo; it was a comprehensive simulation involving actual money mechanics, real customer crises, and the temptations to cut corners. The goal? To see if these models could diagnose problems, resist manipulation, and complete critical deals.
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What the Models Achieved
All four AI models demonstrated impressive capabilities. Each was able to identify every crisis and refused every attempt at manipulation — including fake CEO messages and reporters asking for quick approvals. This shows that current AI is good at recognizing problems and resisting deception.
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The Hidden Challenge: Closing the Deal
However, a crucial difference emerged when it came to executing the work. Only two of the four models actually signed the €55,000 deal their analysis had earned. The other two identified the need but failed to follow through—leaving opportunities on the table. This gap in action is vital because it reveals how AI’s true strength isn’t just in diagnosis but in decision execution.
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The Power of Documented Data
Interestingly, the deal closure depended on accessing information buried two document references deep within the company’s files. Models that could read and interpret these internal documents succeeded in closing at full price, adding over €4,500 in monthly recurring revenue. This underscores a significant takeaway: reading and understanding internal data is a decisive advantage that’s invisible in simple chat scenarios.
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Trust and Discipline Under Pressure
When the simulated CEO issued escalating fake messages, all models refused to be manipulated. Kimi K3’s explanation: treat suspicious requests as potential impersonation. Yet, even the most disciplined model, Opus 4.8, struggled during the closing phase, leaving the deal unexecuted—despite showing deep analysis capabilities. It suggests that discipline and follow-through are critical, and current AI often falters in the final execution steps.
The Business Reality: A Live Company Losing Money
Behind the experiment is a real company—a live software business with 13 synthetic employees, generating just €2,300 in monthly revenue against burn rates of €105,000 per month. The company operates with over 680 self-learned rules, with decisions versioned daily. Watch the company in action at firmulate.com/live, where every move is real and observable.
Key Takeaways for Business Leaders
- Chat demos can be misleading: AI’s ability to produce convincing language doesn’t mean it can complete the full cycle of decision-making.
- Reading internal documents and understanding hidden data can be the difference between winning or losing a deal.
- Resisting manipulation is a baseline; executing on promises and closing deals under real pressure reveals true management strength.
- Measuring AI performance should focus on operational execution, not just diagnostic accuracy or chat quality.
What This Means for Smart Home Companies
For companies managing smart home devices, the lesson is clear: deploying AI that can only diagnose issues or answer queries is not enough. The AI must also be able to follow through—whether that means completing a customer setup, resolving a service crisis, or closing a sale. The real test isn’t how well an AI chats; it’s whether it can act decisively when it matters most.
Test Your AI Workforce
Interested in seeing how your AI tools would perform? You can run a similar test with your own business by exploring the pilot program. This read-only simulation is safe, repeatable, and designed to help you understand what your AI can really do before deploying it in critical areas.
Current AI models excel at diagnostics and resisting deception, but their ability to execute and close deals remains the key challenge. Measuring their real-world management strength requires testing their decision follow-through—not just chat quality.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
