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

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Crypto and AI: The New Frontier of Transparent Business

Imagine a company that operates entirely openly, with every decision, crisis, and financial move laid bare for the world to see — a company that’s fighting for its survival in real-time, not in a closed boardroom but in a transparent, ongoing experiment. That’s precisely what the live experiment from Firmulate offers: a window into how AI models handle real-world business pressures, much like the volatile crypto markets that thrive on transparency and risk.

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The Firmulate Experiment: A Company Without Employees

At the heart of this story is a small, real software business run entirely by artificial intelligence, with no human staff. Instead, it has 13 synthetic employees operating under a strict set of rules, facing daily crises that could make or break its financial future. Every day, the company burns through €105,000, generating just €2,300 in monthly recurring revenue — a stark illustration of a startup in distress. Yet, its true value isn’t measured by profit, but by how well AI models manage its challenges.

What makes this experiment unique is its transparency. Every decision, every crisis, every temptation to cheat or manipulate is recorded, versioned, and made publicly accessible at firmulate.com/live.html. The entire operation is a real-time showcase of AI decision-making in a hostile environment, akin to observing a high-stakes crypto project navigating unpredictable markets.

Testing AI Models in the Worst Week

In the experiment, four leading AI models — including GPT-5.6-SOL, Kimi K3, Sonnet 5, and Opus 4.8 — were tasked with running this company through its worst week. All models faced identical crises: customer issues, internal crises, and the pressure to act ethically amid manipulative tactics. They had to diagnose problems, pitch solutions, and decide whether to sign lucrative deals, all while being scrutinized for honesty and discipline.

The surprising result? All four models identified every crisis and refused every attempt at manipulation, including social engineering tactics like fake CEO messages. Yet, only two models successfully closed a €55,000 deal—those that read beyond surface documents and uncovered hidden details in the company files, revealing a critical advantage in decision-making and due diligence.

Beyond Chat: The True Test of AI Reliability

This experiment underscores an essential point for industries beyond crypto: the critical difference isn’t just in how well AI can generate text or mimic conversations, but whether it can follow through on complex, ethically charged tasks under real pressure. The models’ ability to read internal files, recognize hidden information, and resist manipulation proved decisive—capabilities rarely visible in typical chat demos.

For example, the most thorough participant, Opus 4.8, with over 80 learned rules, performed diligently but slipped at the crucial moment by failing to escalate a problem instead of writing it into a locked department. Meanwhile, the Kimi K3 model maintained fairness by running without an effort parameter, demonstrating that even default settings can influence discipline and outcomes.

Public, Live, and Unfiltered

This isn’t a demo; it’s a real, ongoing business struggling day-to-day. The company’s cash reserves are publicly countdown-timed, and every decision is visible for anyone to analyze. You can watch the entire process unfold at firmulate.com/live.html. The real-world stakes make this a compelling case study for how AI can be trusted (or not) in critical business functions.

What’s at Stake for Crypto and Tech

For those invested in crypto and blockchain, where transparency and trust are core values, this experiment offers lessons in AI reliability and honesty. Can AI models truly handle complex financial operations, detect hidden risks, and resist manipulation — all in a public, high-pressure environment? The answer, at least in this experiment, is encouraging: models that read deeply and refuse shortcuts tend to make better, more reliable decisions.

Ultimately, the experiment illustrates a fundamental truth: the future of AI in business lies not just in generating convincing dialogue but in executing complex, honest work under stress — qualities that are vital for secure, trustworthy crypto and financial systems.

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

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

Powered by Thorsten Meyer AI

Nothing in this article is financial or investment advice. Cryptocurrency and precious-metal investments carry significant risk — do your own research and consider a licensed advisor.


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