Imagine managing a small workshop or craft business, where every decision counts, and there’s no room for error. Now, picture an AI system running such a company—facing real crises, making tough calls, and even losing money daily. Welcome to a groundbreaking live experiment that reveals how AI models perform when tasked with running a company in its most challenging week. This isn’t science fiction; it’s happening now, and you can watch it unfold at firmulate.com/live.
The Experiment: AI as an Autonomous Business Manager
In an unprecedented move, four advanced AI models were each given the same small software company scenario—complete with customers, crises, and temptations to cheat. The goal? To see if these models could navigate a week of business turmoil, make ethical decisions, and even close a crucial €55,000 deal. All decision points were versioned and auditable, ensuring transparency in their actions.
The Results: Success, Failures, and Surprising Outcomes
- All four models identified every crisis and refused manipulation attempts. Despite the challenges, they showed integrity under pressure.
- Only two models managed to close the deal their analysis had earned. The other two, despite diagnosing correctly and pitching well, failed to seal the deal or left money on the table.
One of the key insights was buried deep in the company’s own files—two document references away from the main customer files. The models that examined these hidden references won the €4,583 monthly recurring revenue (MRR) deal at full price. This highlights a crucial element: thorough document reading makes or breaks success.
Ethical Challenges and AI Integrity
The experiment also tested the models’ resistance to social engineering. Fake CEO messages and a reporter trick to bypass approval processes were used as tests. Remarkably, all five models refused to be manipulated, citing concerns over impersonation and bypassing approval processes.
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The Live Company: A Digital Business in Action
Firmulate’s live showcase features a virtual company with 13 synthetic employees managing real money mechanics—burning €105,000 each month against a modest €2,300 in monthly recurring revenue. The company’s cash countdown is public, and every workday is versioned, providing a transparent window into its ongoing struggles.
This experiment isn’t just a demonstration; it’s a real-time, publicly accessible testbed of AI decision-making in a complex, dynamic environment. Visitors can observe AI models handling crises, making strategic choices, and even dealing with the ethical dilemmas that real companies face daily.
Performance Deep Dive: Opus 4.8 and the Discipline Dilemma
The most comprehensive model, Opus 4.8, with over 80 learned rules and deep analyses, performed the poorest in the final week. It failed to close the deal and slipped into internal write attempts instead of escalating issues—a discipline slip that led to missed opportunities. Interestingly, all models exhibited similar weaknesses, indicating how challenging consistent performance is in high-pressure situations.
Implications for DIY and Small Business Owners
If AI can run a virtual company through crises, what does that mean for your workshop or craft business? The key takeaway is that the quality isn’t just about generating convincing chat responses—it’s about finishing what it starts, reading relevant documents thoroughly, and maintaining integrity under pressure. The question isn’t whether an AI can write well; it’s whether it can deliver useful, honest work consistently.
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Why This Matters for the Future
As AI begins to touch areas like customer management and supply chain support, understanding its real-world decision-making capacity becomes critical. The results from this experiment suggest that AI’s ability to identify hidden information, resist manipulation, and follow through on commitments is still a work in progress—yet it’s progressing fast.
For DIY enthusiasts and small business owners, these insights highlight the importance of testing AI tools in realistic settings before trusting them with critical tasks. You can even run your own ‘wargame’ against a read-only export of your business at firmulate.com/pilot.html.
This live AI experiment shows that, while models can detect crises and resist manipulation, closing deals and maintaining discipline remain significant challenges. It’s a glimpse into how AI might one day run a business—but only if it can consistently deliver honest, decisive work under pressure.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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