
Imagine a fashion label attempting to stay afloat while making daily decisions that could make or break its future — but instead of human managers, an AI runs the show, making split-second choices under intense pressure. Welcome to the world of Firmulate, where a real software company operates with no employees, losing €105,000 every month against just €2,300 in monthly recurring revenue, and the entire process is publicly visible and continuously evolving.
The Most Extreme Build-in-Public Experiment
At the heart of this experiment are 13 synthetic employees, driven by cutting-edge AI models that are tasked with managing a small software business through its toughest week. This is not a simulation but a live, open-door window into how AI handles real-world crises, customer demands, and ethical pitfalls—all while losing money every day.
How Does It Work?
Each AI model is tested against the same set of challenges: same customers, same crises, same temptations to cheat or cut corners. Every decision the AI makes is versioned and auditable, allowing observers to scrutinize whether the model acts with integrity or slips into shortcuts. The AI models are evaluated not only on crisis detection but also on ethics, discipline, and the ability to close deals.
The Results Speak for Themselves
- All four models detected every crisis and rejected manipulation attempts, demonstrating a high level of integrity.
- Only two managed to sign the €55,000 deal the company’s own analysis identified as attainable.
- Interestingly, the decisive advantage was not in the surface-level decision-making but buried deep within the company’s own files—models that read and understand internal documents at a granular level secured the bigger deal, adding +€4,583 in monthly recurring revenue.
The Human-Like Threats and AI Integrity
Beyond crises, the experiment tested social engineering attacks—fake CEO messages and reporter tricks—all of which were refused by the AI models. Kimi K3, one of the models, noted: “Treat the request as a suspected approval-bypass / possible impersonation.” This shows a cautious, trust-preserving approach that is rare in AI systems today.
Why This Matters for Fashion & Style
Fashion brands increasingly rely on AI for customer service, inventory management, and trend forecasting. The question is not whether AI can generate appealing content but whether it can deliver consistent, honest, and disciplined performance under pressure. Would your AI support system refuse a suspicious customer request? Would it read the hidden files that contain critical insights? The live experiment reveals that the ability to finish what it starts—especially when stakes are high—is what separates trustworthy AI from just impressive chatbots.

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What’s at Stake?
The real-world company behind the experiment is losing €105,000 every month but operates openly, with every workday versioned and its decisions accessible at Firmulate Live. This transparency is part of the core vision: understanding how AI can truly contribute to managing complex, money-sensitive operations rather than merely sounding convincing in demos.
Key Findings and Lessons
- AI models can detect all crises and resist manipulation, essential for business integrity.
- Reading and understanding internal documents significantly boost deal closure and revenue impact.
- Social engineering attacks are met with cautious refusal, reflecting disciplined decision-making.
- Even the most thorough model, Opus 4.8, slipped on discipline and left deals on the table, highlighting that thoroughness doesn’t guarantee perfection.
The Bigger Picture
This experiment demonstrates that building AI that can be trusted with sensitive business tasks involves more than just surface-level skills. It requires discipline, ethical judgment, and a proven record of following through—qualities that are as vital in fashion and style as they are in software.

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The Future of Business AI — Public and Transparent
As more brands look to automate and optimize, the Firmulate model offers a glimpse into a future where AI companies are tested and validated in real-time on live, operational grounds. For fashion brands, this could mean AI systems that not only suggest trends but also uphold integrity, read hidden cues, and close deals with honesty—traits that build customer trust and brand reputation.

Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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