
Imagine a business where every decision, crisis, and temptation is played out live — with no employees, no shortcuts, and every move watched by the world. Welcome to the most extreme build-in-public experiment in AI management, where a tiny software company is fighting for its life against relentless cash burn, real crises, and the challenge of trust. This isn’t fiction — it’s happening right now, at firmulate.com/live.
The Live Experiment: An AI-Driven Company in Real Time
At the heart of this groundbreaking venture is a tiny, virtual company with 13 synthetic employees powered by advanced AI models. This firm isn’t just a demo; it’s a real-time, auditable laboratory where AI models are tasked with running a business through its worst week. Every decision made, every crisis faced, and every tempting shortcut is logged, versioned, and public for all to see.
From a financial standpoint, the company burns through €105,000 each month but earns only about €2,300 in monthly recurring revenue. It’s a fragile state, with a public cash countdown that underscores the urgency to make better decisions. Each workday, the company’s rules and responses are updated and versioned, creating a transparent view into how AI decision-making evolves under pressure.
AI business management software
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The AI Models Under Scrutiny
Four frontier AI models participated in the experiment, each tested against the same week of crises. These models, ranging from GPT-5.6 to a more rule-disciplined version called Opus 4.8, faced identical challenges: customer issues, potential manipulation attempts, and internal crises. The results were revealing:
- All four models identified every crisis accurately.
- All refused attempts at manipulation, including social engineering tricks like fake CEO messages and staged reporter inquiries.
- Only two of the four models managed to close a deal worth €55,000, matching their own analysis and diagnosis.
Interestingly, the decisive advantage came not from surface-level chat interactions but from reading internal documents. Models that delved into the company’s own files uncovered critical information buried two references deep, leading to a winning deal at full price (+€4,583 MRR).

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Trust and Discipline in AI Management
While some models excelled in crisis detection, others faltered on discipline and follow-through. For instance, Opus 4.8, the most thorough participant, exhibited deep analysis but ultimately left a promising deal unexecuted due to a slip in process discipline. It attempted to write notes into a restricted department instead of escalating, revealing that even the most capable models are vulnerable to operational lapses.
Meanwhile, a fairness note highlights that different models ran at varying effort levels, with some defaulting to less aggressive configurations. Despite this, the core findings remained consistent across the board: trust and discipline are critical, and AI must be trained not just for analysis but for execution under pressure.
AI document analysis software
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The Implications for Business Automation
This transparent, live experiment offers compelling lessons for companies considering AI automation. It’s not enough for AI to generate clever responses; it must also:
- Finish what it starts — avoid leaving deals or tasks half-done.
- Read and understand relevant internal documents thoroughly.
- Resist manipulation and social engineering attempts.
- Operate with discipline, escalating issues appropriately rather than slipping into operational shortcuts.
The experiment underscores a stark truth: a company’s viability isn’t just about quick wins or impressive chat demos. It’s about consistent, trustworthy execution — and that’s what the AI models are being tested for in real-time.
AI crisis detection tools
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Watch the Company in Action
Curious to see this in practice? The live site at firmulate.com/live streams ongoing runs of the experiment. Currently, 23 benchmark runs are queued, with each iteration revealing more about how these AI agents handle crisis, opportunity, and manipulation in a constant cycle of testing and learning.

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