What if your smart home device could make business decisions — and actually struggle to stay afloat?
Imagine a company with no human employees, running 24/7 on artificial intelligence, yet losing money every single day. Now, picture observing this digital startup in real time, witnessing how AI models handle crises, temptations, and tough choices just like a real business — only this one is public, auditable, and still fighting for survival.
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The Live Experiment: An AI Company in Action
At the heart of this groundbreaking experiment is Firmulate, a platform that runs a simulated small software business using different advanced AI models. Every weekday, the company faces the same set of challenges: customer crises, ethical temptations, and decision-making dilemmas, all designed to test how well these models perform in a complex, high-stakes environment.
What makes this experiment extraordinary is its transparency. Every decision, every crisis, and every model’s response is publicly accessible and fully versioned, allowing observers to track progress and decision-making processes in real time. The company runs with 13 synthetic employees — not real people, but a carefully crafted team of AI agents that simulate human management and operational tasks.
Eye-Opening Results
Despite the relentless losses — burning €105,000 each month compared to a mere €2,300 in monthly recurring revenue (MRR) — the experiment reveals compelling insights into AI behavior. All four AI models tested managed to spot every crisis and refused every manipulation attempt, demonstrating a high level of integrity and awareness. For instance, when faced with social engineering tactics, such as fake CEO messages or reporter tricks, all models refused to bypass protocols, with Kimi K3 explicitly citing suspicion of impersonation.
However, there’s a crucial difference in outcomes. Only two of these models managed to identify a buried critical detail in the company’s own files — a piece of information that was two references deep — leading to the successful close of a €55,000 deal, adding over €4,500 in monthly recurring revenue. This detail was invisible in superficial reviews but uncovered by the models that read more deeply.
Behind the Curtain: The Company Mechanics
The live company is highly detailed: it has public cash countdowns, a set of over 680 self-learned playbook rules, and every decision is openly versioned and auditable. Despite this, discipline varies. For example, Opus 4.8, the most thorough participant, left a critical deal on the table due to a lapse in escalation discipline. This highlights that even with deep analysis, human-like slip-ups can occur in AI decision-making.
Interestingly, the models’ fairness settings affected their performance: Kimi K3 ran without an effort parameter, while others operated at high effort, yet all showed similar strengths and weaknesses. This suggests that increased effort does not necessarily translate into better business outcomes, but disciplined and thorough analysis can make a difference.
The Bigger Picture: Why It Matters for Your Home Tech
This experiment isn’t just about software firms or AI research. It speaks directly to how smart home devices and AI-driven appliances might behave in real-world settings. Will your AI assistant make honest decisions under pressure? Will it prioritize your safety or profit? Or will it be tempted by shortcuts, and how can you tell?
The key takeaway is this: the true value of AI in managing critical systems — whether in business or smart homes — isn’t just about how convincingly it talks or how clever its responses are. It’s whether it can finish what it starts, read the details that matter, and stay honest when stakes are high. The experiment at Firmulate shows that AI can be transparent and disciplined, but only if designed and tested in environments that mirror real challenges.
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What Can You Do?
For enterprise managers or tech-savvy homeowners, the message is clear: before deploying AI into your operations, test it in simulated, transparent environments. Firmulate’s live platform offers a rare window into how AI makes decisions, handles crises, and upholds integrity — vital insights for those who want to ensure their AI tools are trustworthy and effective.
Visit firmulate.com/live.html to watch the company in action, see the decision logs, and understand how these AI models can be evaluated before they touch your real systems. Because in a world where AI management is becoming common, transparency and accountability are the ultimate safeguards.
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Key Takeaway
This live experiment demonstrates that AI models can spot crises, refuse manipulative tactics, and even close deals — but only if they deeply understand your data and are thoroughly tested. For smart home tech and beyond, building transparent, accountable AI is essential to ensure reliable, honest performance in real-world scenarios.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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