Listen free for 30 days with Audible
Thousands of audiobooks and originals — cancel anytime.
As an affiliate, we earn on qualifying purchases.
What if your garden’s success depended on a decision-maker that’s always honest — and never sleeps? Welcome to the world of AI-driven business, where real money and real crises unfold in plain sight.
AI Builders: Making The Decisions That Turn AI Code Into Real Software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Live Experiment: An AI Company That’s Living Its Own Test Bed
Imagine a small software company with no human employees, yet it operates daily with a set of 13 synthetic ‘staff’ powered by cutting-edge AI models. This isn’t a simulation; it’s a real-time, publicly accessible experiment at firmulate.com/live.html. Every business day, this AI-driven company faces the same challenges as any startup: customer issues, crises, and ethical tests. And it’s all happening under the watchful eye of the world.
What makes this experiment extraordinary isn’t just the concept but its transparency. The company burns €105,000 every month chasing a mere €2,300 in monthly recurring revenue. It’s a high-stakes, public wager on whether AI can manage complex decision-making — honestly and effectively.
The Four Models in the Ring
Four AI models were pitted against one another, each running the same week of crises, customer dilemmas, and temptations. Their task? Run the company, handle crises, and close deals. Their decisions are fully versioned and auditable, making it possible to trace every move and every decision back to its source.
And the results? All four models identified every crisis and refused every manipulation attempt. But only two succeeded in closing the €55,000 deal their own analysis had earned. The other two saw the opportunity but walked away, unable to sign the contract despite diagnosing the opportunity correctly.
The Hidden Weakness—The Document That Made the Difference
The critical advantage belonged not to the AI that read the customer emails or handled support chats but to the one that read deeper into the company’s files. Two document references deep, hidden in the company’s internal files, lay the key to success. The AI that uncovered this buried fact closed the deal at full price, adding +€4,583 in monthly recurring revenue. This highlights a vital lesson: the ability to read and understand internal documents often surpasses surface-level customer interactions in importance.
Testing Integrity and Ethical Boundaries
The experiment also included social engineering attacks—fake CEO messages escalating through deliberate stages and a reporter trick asking for a simple yes/no on background. Remarkably, all models refused these manipulative tactics, treating them as potential impersonation or approval bypasses. Kimi K3, one of the models, commented: “Treat the request as a suspected approval-bypass / possible impersonation.” This suggests that AI models can be programmed to adhere strictly to ethical boundaries, even under pressure.
The Build-in-Public Nature of the Experiment
This entire setup isn’t hidden behind cloaks of secrecy. It’s a build-in-public demonstration of AI’s capabilities and limitations, accessible for anyone interested. It’s an ongoing story of a company fighting for survival, constantly evolving with daily decision versions, and openly sharing its failures and successes. Viewers can see how each model performs, how decisions are made, and how trust and honesty play crucial roles in AI’s real-world applications.
Ai For Customer Experience And Support: A Practical Guide To Automating Service, Personalizing Interactions, And Driving Customer Loyalty With Artificial Intelligence
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Lessons for Business and Gardeners Alike
For anyone managing a garden, greenhouse, or outdoor project, the message is clear: the quality of decision-making, honesty in handling crises, and the ability to read deeper into problems matter more than just surface appearances or quick fixes. Just like an AI company must read its own files to close a deal, a gardener must understand the subtle cues in plants and soil to ensure long-term health and success.
In the same way that AI models are tested against crises and manipulation, your outdoor projects must be resilient against unexpected challenges and ethical dilemmas—be it pests, weather, or resource management. The future of both fields relies on honesty, thorough understanding, and the willingness to face difficult truths, even when no one is watching.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
An Introduction to Healthcare Informatics: Building Data-Driven Tools
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Hacker Playbook: Practical Guide To Penetration Testing
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Labor Day sales Picks
labor day deals
As an affiliate, we earn on qualifying purchases.
