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.

Imagine an AI managing a small company — making critical decisions, navigating crises, and even closing deals — all in real time, with nothing hidden. For the first time publicly, a live experiment shows just how well artificial intelligence can run a business when faced with real-world pressures. If AI is to touch your customer support or sales, understanding whether it plays fair and finishes what it starts matters more than ever.

The Live Business Simulator: An Unprecedented Look

At firmulate.com/live, a unique experiment is underway. It’s not a marketing pitch or a demo — it’s a fully functioning, real-time simulation of a tiny software company managed entirely by AI models. But this isn’t just a game. The company runs on a daily cycle of decisions, crises, and temptations, with every move recorded, versioned, and analyzed. The goal? To see if AI can manage complex business scenarios honestly and effectively.

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

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As an affiliate, we earn on qualifying purchases.

How It Works: The AI Company in Action

The experiment pits four frontier AI models against each other, each tasked with steering the same company through its worst week. The company has real money mechanics: it burns €105,000 monthly against a revenue of just €2,300, with a public cash countdown that adds pressure. Every day, the models face crises—such as customer issues, internal mistakes, or external temptations—and must decide how to respond.

Crucially, every decision made by the models is carefully recorded and auditable. This transparency allows observers to verify whether the AI is honest, thorough, and disciplined. For instance, the models are tested against social engineering attempts, like fake CEO messages or reporter tricks designed to coax them into unethical behavior. All models refused to be manipulated, showcasing a baseline of integrity.

AI Ethics A Complete Guide

AI Ethics A Complete Guide

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Results: The Good, the Bad, and the Surprising

The results reveal interesting truths about AI decision-making in complex environments:

  • All four models identified every crisis presented to them, demonstrating strong situational awareness.
  • They refused all manipulation attempts, including social engineering tricks, maintaining integrity under pressure.
  • Only two models managed to close a €55,000 deal based on their own analysis, showing they could finish what they started.
  • The other two models either left deals unexecuted or failed to follow through, despite recognizing opportunities.

One particularly revealing insight came from the analysis of internal documents. The decisive weakness that cost the company a potential deal was buried deep in its own files, not in the external customer interactions. The models that read and understood these internal references successfully closed the deal, earning an additional €4,583 in monthly recurring revenue (MRR).

Information Systems for Crisis Response and Management in Mediterranean Countries: 4th International Conference, ISCRAM-med 2017, Xanthi, Greece, ... in Business Information Processing, 301)

Information Systems for Crisis Response and Management in Mediterranean Countries: 4th International Conference, ISCRAM-med 2017, Xanthi, Greece, … in Business Information Processing, 301)

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Lessons for Business and AI

This experiment offers a stark reminder: performance isn’t just about generating convincing chat or responses. In real business, what counts is finishing what you start, reading deeply into information, and staying honest under pressure. AI systems that can be audited and verified—like in this live setup—are better suited for critical decision-making roles.

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The AI Sales Coach: Objection Handling, Closing, and Prospecting Reimagined (The Objection Handler's Library)

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Beyond the Lab: The Firmulate Company Simulator

What sets this apart is that it’s not just an abstract test. The quiz at firmulate.com involves real management decisions, and companies can run their own ‘wargame’ scenarios using their data, without risking their actual systems (more here). This real-world applicability makes the experiment a valuable tool for anyone considering deploying AI in business-critical roles.

The Cost of Running an AI-Managed Business

The tiny company in the live experiment is a real-world example of what it takes to keep AI management sustainable. With a burn rate of €105,000 per month and only €2,300 in monthly revenue, the company is in a fragile state. Yet, each decision, each crisis, and each deal provides vital insights into how AI might operate at scale, especially when the stakes are high and trust matters.

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

This live experiment shows that AI can detect crises, refuse unethical manipulation, and even close deals—if it reads deeply and stays disciplined. For businesses considering AI management, transparency and verification are key to ensuring fair, effective, and trustworthy decision-making.

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

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