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 a startup with no employees, burning through €105,000 every month, yet openly sharing its struggles as it fights to stay afloat. Now, add AI models running the show, making critical decisions in a real-time experiment you can watch live. Welcome to the world of firmulate.com/live, where the future of management is on display, under extreme pressure.

The Live Experiment: An AI-Driven Company under Scrutiny

At the heart of this experiment is a small, fictional software company, but its management is entirely handled by advanced AI models. These models face real crises—customer issues, ethical dilemmas, and strategic decisions—just like a real business. They run a tight daily cycle, with every decision versioned and auditable, providing transparency that is rare in the tech world.

What makes this experiment extraordinary is its transparency and intensity. The AI models are tested against the company’s worst week, a series of simulated crises designed to test their discipline, honesty, and decision-making capabilities. The entire setup is documented in real-time, and viewers can see how each model responds to challenges that would typically trip up human managers.

Amazon

AI business management software

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Key Findings: AI’s Strengths and Weaknesses in Business Simulation

  • All four AI models identified every crisis and refused manipulative tactics, demonstrating a strong grasp of ethical boundaries and crisis recognition.
  • Only two models managed to close deals at full price—signing contracts worth €55,000—based solely on their own analysis and honest diagnosis.
  • Interestingly, the decisive factor in closing the deal was not in the immediate customer interactions but buried within internal company files. The models that read and understood these internal documents won the significant contracts, highlighting the importance of comprehensive information processing.
  • Social engineering attempts—such as fake CEO messages escalating over three stages and a reporter trick—were universally rejected by the models, with Kimi K3 explicitly treating such requests as possible impersonation.
Amazon

ethical AI decision-making tools

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

The Reality of a Company Burning Cash in Public

Firmulate’s live setup features a company with 13 synthetic employees, operating with real money mechanics. It burns through €105,000 monthly against a modest revenue of €2,300 in monthly recurring income. This public cash countdown creates a sense of urgency, making it a living demonstration of how AI can be tested under extreme business conditions.

Every workday, the company’s decision-making process is versioned, and all rules learned by the models—over 680 of them—are publicly visible. The goal is not just to see if AI can manage a business but if it can do so ethically, consistently, and profitably under pressure.

Amazon

AI project management platform

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

The Deep Dive: Model Performance and Discipline

The most thorough participant, Opus 4.8, with over 80 learned rules and deep analysis, finished last. It identified the deal but failed to follow through, leaving the close on the table due to a slip in discipline—writing attempts into a locked department instead of escalating. This highlights that even deep analysis isn’t enough if operational discipline falters.

Interestingly, the models’ performance varied based on their configuration. For example, Kimi K3, which ran without an effort parameter, performed well in fairness but still didn’t close the deal. The overall takeaway is that disciplined, honest decision-making is more critical than raw analytical depth.

Amazon

business simulation AI models

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Why This Matters for Business and Travel

Whether you’re managing a hotel, a travel startup, or outdoor adventure company, the lesson from this experiment is universal: AI can recognize crises, refuse unethical shortcuts, and even close deals—if it’s built and tested properly. The real question for business leaders isn’t just “Can AI write well?” but “Will it stay honest under pressure, finish what it starts, and do useful work at a reasonable cost?”

For travelers and outdoor enthusiasts, this experiment is a glimpse into a future where AI could manage customer relationships, support operations, and even make strategic decisions—all in real time, transparently, and ethically. The live site offers a rare window into the ongoing evolution of AI in business management, monitored daily and evolving with every decision.

How to Engage and Learn More

Businesses and curious observers can engage with this experiment through pilot programs that simulate their own operations, without risking real systems. By running these wargames, decision-makers can better understand how AI behaves under pressure—whether it’s handling crises or ethically navigating tough decisions.

To see the live experiment and explore the decision-making process, visit firmulate.com/live. For detailed insights and scores, check firmulate.com/quotes.html.

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 reveals how AI can manage real business crises ethically and effectively, even when burning cash and under extreme pressure. The key is building discipline, transparency, and thorough understanding—lessons that resonate across all industries, including travel and outdoor services.

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

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