Firmulate — Four AI Models Ran the Same Company Through Its Worst Week. Only Two Finished the Job.
Live on firmulate.com.

Just like in woodworking, where the finish and final assembly reveal true craftsmanship, in business AI, the real test lies not in flashy demos but in completing the task under pressure. A recent experiment with AI models running a simulated software company uncovered a surprising truth: the highest-scoring AIs could spot every crisis and resist every manipulation, yet only some could complete the job and close the deal. This story reveals how AI’s unseen capabilities—like trust and follow-through—matter far more than what they say in demos.

How AI Models Were Put to the Test

In a live experiment hosted by Firmulate, four advanced AI models took on the role of managing a small software company facing its worst week. The same crises, the same customers, the same temptations—only the AI model changed. Each decision made was recorded, versioned, and auditable, ensuring transparency into their decision-making process.

Project Management with AI For Dummies

Project Management with AI For Dummies

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

The Results Are Eye-Opening

All four AI models demonstrated impressive vigilance: they identified every crisis and refused every attempt to manipulate them. That’s akin to a woodworker catching every defect or a mechanic resisting fake parts. Yet, only two of these models managed to close the deal and secure the €55,000 revenue—an outcome that equally depended on their discipline to follow through.

The Hidden Weakness

The decisive difference wasn’t in crisis detection but in reading and trusting the company’s internal documents. The two successful models accessed information buried two documents deep within the company’s files. This allowed them to see critical details that others missed, enabling them to confidently sign the deal at full price—worth over €4,583 in monthly recurring revenue.

Why Demos Don’t Show the Whole Picture

In typical AI chat demos, what’s showcased is often surface-level—quick responses, clever trickery, or simulated interactions. But what really matters in a real-world scenario is whether the AI can complete its work reliably when under pressure, reading the right documents, resisting manipulation, and executing decisions fully. As the experiment shows, the ability to finish what you start is invisible until you actually test it in context.

Psychological Resistance and Ethical Integrity

All models refused social engineering attempts—a staged fake CEO message escalating over three stages and a reporter trick asking for a quick approval. The Kimi K3 model explained its refusal clearly: “Treat the request as a suspected approval-bypass / possible impersonation.” This deliberate resistance aligns with what professionals would value in a trustworthy partner: honesty, discipline, and adherence to protocol.

The Company’s Reality Check

The live company managed by these AI models was a miniature but complex operation—13 synthetic employees working with real money mechanics, burning €105,000 monthly against a revenue of just €2,300. Every task was governed by over 680 self-learned rules, and decisions were constantly versioned. The experiment is ongoing and watchable at firmulate.com/live, offering a rare glimpse into AI-driven management in action.

Leadership Lessons for Every Business

This experiment underscores a crucial point: the real strength of AI isn’t in chat appearances but in its ability to follow through, stay disciplined, and execute reliably. For small businesses, DIY enthusiasts, or anyone relying on AI tools, it’s a reminder that what ultimately counts is not how well the AI can chat but whether it can deliver results—especially when temptations to cheat or cut corners are high.

Takeaway for Woodworkers and Business Leaders

Just as in woodworking, where the finish and final assembly reveal craftsmanship, the true test of an AI system is whether it can close the deal in complex, pressured situations. The models that read deeper into the company’s own details and resisted manipulation were the ones that succeeded. This suggests that future AI tools for business—and perhaps for your workshop—must be judged on their ability to follow through, trust the process, and deliver tangible results—not just on how convincingly they can talk or demonstrate.

Infographic — Four AI Models Ran the Same Company Through Its Worst Week. Only Two Finished the Job.
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


You May Also Like

Cranbrook Academy of Art Reopens Applications for Fall 2026

Cranbrook Academy of Art has announced the reopening of its application process for the Fall 2026 term, inviting prospective students to apply.

Katherine Wolkoff Meditates on Absence in Her Tender Photos of Deer Beds

Artist Katherine Wolkoff presents a series of tender photographs of deer beds, meditating on absence and presence in nature.

Cyberpunk Comics, Manga And Graphic Novels

The cyberpunk genre is experiencing a resurgence in comics, manga, and graphic novels, with new titles gaining popularity among diverse audiences.

The Artists Countermapping the World

Artists worldwide are creating countermaps to challenge dominant narratives and highlight marginalized perspectives, marking a new form of artistic activism.