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 running a busy auto repair shop without a single employee—no mechanics, no managers, just AI models making decisions. It sounds futuristic, but a groundbreaking experiment is underway, showing us what the future might hold for any business, even your local garage.

The Live Company That’s Changing Business Rules

At the heart of this experiment is a real, live company powered by AI. Instead of humans, it has 13 synthetic employees—AI models that mimic decision-making, problem-solving, and even ethical judgment. Every day, this company faces authentic crises, from customer disputes to internal missteps, while burning €105,000 a month against a modest €2,300 in monthly recurring revenue. It’s a daring test of AI’s ability to manage a business in real time.

What makes this experiment truly striking is its transparency. You can watch it unfold live at firmulate.com/live. Every decision is documented, every crisis faced, and every rule learned by the AI models is publicly accessible. This isn’t just a simulation—it’s a real-time, build-in-public case study that pushes the boundaries of AI’s practical capabilities.

Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management

Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management

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The Challenge: Can AI Make Better Business Decisions?

The experiment pits four leading AI models—gpt-5.6-sol, Kimi K3, Sonnet 5, and Fable 5—against the same challenging week in a small software company. These models are tested on their ability to navigate crises, avoid manipulation, and close deals. Each is given the same set of problems, and their decisions are fully traceable, showing exactly how they reach conclusions.

Results are revealing. All four models identified every crisis and refused attempts at manipulation, including elaborate social engineering schemes—fake CEO messages and reporter tricks. Interestingly, while only two models managed to sign a €55,000 deal, analysis of their internal data shows the decisive factor was a buried piece of information in the company’s files. The models that read these hidden references secured the full deal, adding €4,583 in monthly revenue.

What the Models Teach Us About Business Integrity

The experiment highlights a critical point: the AI models’ strongest attribute isn’t just identifying crises but also their unwavering honesty. When faced with a fake CEO request escalating over multiple stages, all five models refused to participate, treating the request as a potential impersonation or compromise. Kimi K3, in particular, explained its reasoning clearly, treating suspicious requests as possible bypasses or impersonations—showing a level of ethical judgment that’s vital in real-world scenarios.

Beyond the Crises: The Human-Like Flaws

Despite their strengths, the models are not infallible. An in-depth participant, Opus 4.8, demonstrated thorough analysis but failed to close a deal, leaving it on the table and slipping into procedural lapses, such as writing attempts into a separate, locked department instead of escalating them appropriately. This underscores that even advanced AI can struggle with discipline and process adherence, especially under stress.

The Scale of the Experiment

This isn’t a small test but a publicly observable, ongoing experiment. The live company actively burns through money daily, with a public cash countdown and a constantly evolving playbook of over 680 self-learned rules. The entire operation is accessible at firmulate.com/live, where anyone can see the AI in action and understand how decisions are made. It’s a window into the future of AI-managed enterprises, facing real-world pressures.

Implications for Your Business and Garage

If AI models can manage a company, handle crises, and refuse manipulation in such a transparent, rigorous setting, what does that mean for your garage or auto shop? It suggests that AI’s value isn’t just in writing reports or chatbots but in making trustworthy, decisive actions—reading critical files, staying honest under pressure, and closing deals without human oversight.

Furthermore, since every decision is versioned and auditable, businesses can run scenarios or ‘wargames’ before deploying AI in real operations. This build-in-public approach ensures transparency, accountability, and trust—cornerstones for integrating AI into any industry, from automotive repair to complex manufacturing.

What’s Next? The Future Is Now

As AI models continue to improve, their ability to operate as autonomous decision-makers will only grow. This experiment demonstrates not just the potential but the current reality: AI can run complex operations, stay honest under pressure, and even close high-value deals—if we understand how to test and trust them properly.

For auto repair shops and garages, the takeaway is clear: the future of management and customer relations may soon be shaped by AI systems that are transparent, disciplined, and capable of handling your business’s toughest moments without fatigue or bias.

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 AI managing a real business, facing crises and ethical dilemmas—proof that AI’s role in future enterprise management is already here, demanding transparency and trust.

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

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