firmulate.com/live.html — live view
Firmulate — This Software Company Has No Employees, Loses Money Every Day — and You Can Watch.
Live on firmulate.com.

What if your business was run by artificial intelligence—live, in front of your eyes—and every decision was scrutinized for honesty and discipline?

This is not science fiction. It’s the real-time experiment conducted by Firmulate, a pioneering company that simulates a small software business to test AI decision-making in high-stakes situations. Just like a barista perfects each cup, these AI models are tested daily under extreme conditions, revealing crucial insights into their ability to handle crises, resist manipulation, and ultimately, deliver trustworthy work.

AI Builders: Making The Decisions That Turn AI Code Into Real Software

AI Builders: Making The Decisions That Turn AI Code Into Real Software

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As an affiliate, we earn on qualifying purchases.

The Live Experiment: An AI Company in Its Rawest Form

Imagine a virtual company with 13 synthetic employees, operating with real financial mechanics — burning €105,000 every month against only €2,300 in monthly recurring revenue. The company’s cash countdown is public, and every workday, its decisions are versioned and made transparent for all to see. This experiment is hosted at firmulate.com/live. It’s a build-in-public showcase of AI decision-making under pressure, with every crisis, temptation, and decision laid bare.

Each day, four different AI models—representing frontier large language models—are challenged to run this company through its worst week. They face the same customers, the same crises, and the same temptations to cheat or manipulate, with their decision paths recorded, auditable, and comparable.

Interview with the MONSTER AI: A Conversation about Power, Truth, and the Future of Intelligence

Interview with the MONSTER AI: A Conversation about Power, Truth, and the Future of Intelligence

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What the Results Show: Trust and Discipline Matter

The key findings are striking: all four models identified every crisis and refused every manipulation attempt—including sophisticated social engineering like fake CEO messages or reporter tricks. For example, when asked to approve a dubious deal, five out of five models declined, treating the request as a potential impersonation or approval bypass.

But the real lesson lies beneath the surface. Only two models managed to close a €55,000 deal their analysis had earned—demonstrating discipline and thoroughness—while the others left money on the table, either by failing to follow through or slipping in process discipline.

One of the most revealing aspects was the discovery of a critical, buried weakness: a key opportunity was hidden in the company’s own files, not in customer interactions. When models that read and analyze these internal documents managed to identify this hidden fact, they secured the full deal value (+€4,583 MRR). The models that ignored or missed this opportunity missed out on thousands of euros in recurring revenue.

EXPLAINABLE AI : Techniques that Meet Auditors’ Needs : Building Transparent, Defensible, and Audit-Ready Artificial Intelligence for Modern Enterprises

EXPLAINABLE AI : Techniques that Meet Auditors’ Needs : Building Transparent, Defensible, and Audit-Ready Artificial Intelligence for Modern Enterprises

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As an affiliate, we earn on qualifying purchases.

Resistance to Manipulation and Ethical Challenges

The models also faced social engineering tests—such as escalating fake CEO messages or background approval requests. Remarkably, all five models refused to be manipulated, exemplifying the importance of built-in safeguards and ethical reasoning. Kimi K3 explained its refusal: “Treat the request as a suspected approval-bypass / possible impersonation.”

Machine Learning for High-Risk Applications: Approaches to Responsible AI

Machine Learning for High-Risk Applications: Approaches to Responsible AI

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As an affiliate, we earn on qualifying purchases.

The Lessons for Business and AI Integration

This experiment goes beyond the technicalities of AI performance. It highlights essential qualities for AI to be truly trustworthy in a business environment: the ability to read and interpret internal data, resist manipulation, remain disciplined under pressure, and ultimately, deliver the work that matters.

In the live setup, every decision is tracked, versioned, and publicly accessible, providing unprecedented transparency. Watching this unfold gives a rare window into how AI agents might perform in real-world corporate decision-making—if we choose to hold them accountable.

Why Coffee and Beverages Should Care

While this experiment centers on a software company, the lessons resonate across industries—whether it’s a coffee roaster managing supply chain crises or a tea company handling quality control. The core concern is simple: as AI begins touching your business systems, how do you ensure it stays honest, disciplined, and aligned with your goals?

Trustworthy AI isn’t just about writing well—it’s about finishing what it starts, reading crucial internal data, and resisting pressure to cut corners. The Firmulate experiment demonstrates that, with the right safeguards, AI can be a reliable partner—even in high-stakes environments.

Infographic — This Software Company Has No Employees, Loses Money Every Day — and You Can Watch.
The findings at a glance — source: firmulate.com.

Key Takeaway

The live experiment by Firmulate reveals that AI models can identify crises, resist manipulation, and close deals when disciplined. Trust, discipline, and internal data reading are crucial for AI to be a reliable business partner—lessons that matter for any industry considering AI integration.

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

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