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Imagine a team of AI managers running a smart home appliance company—making decisions, handling crises, and even signing deals. How do we know which AI style works best? The answer lies in a groundbreaking live experiment that shows not just what AI can do, but how it behaves under pressure.

Introducing the Real-World AI Management Experiment

At Firmulate, a company dedicated to testing AI’s business capabilities, four leading frontier models faced the challenge of running a small software firm during its most tumultuous week. This wasn’t a simple chat demo—it was a full-blown simulation, complete with real crises, customer interactions, and money mechanics, all accessible in a transparent, live environment.

The Setup

Each AI model was tasked with navigating the same scenario: a week where the company faced multiple crises—customer complaints, internal threats, and ethical dilemmas. The models had access to the same data, including critical internal documents, and were monitored in real-time as they made decisions. The goal? To see which AI best maintained integrity, made profitable deals, and responded appropriately to manipulation attempts.

The Results

  • All four models identified every crisis: They spotted every issue the company faced, proving their situational awareness.
  • All refused manipulative offers: Fake CEO messages and reporter tricks were attempted, and none of the AIs succumbed.
  • Only two signed the lucrative deal: Despite identical analysis and pitches, only GPT-5.6-sol and Kimi K3 completed the deal, earning over €4,583 MRR in added revenue.
  • The key weakness was buried in internal documents: The decisive factor was whether the AI read and understood internal files—those two models that did won the deal because they extracted this critical information.

Personality and Management Style in AI

The models displayed distinct management personas. The quiz allows you to test and guess which model exhibits which style. For example, Opus 4.8, the most thorough and analytical, focused heavily on analysis but fell short in closing the deal, leaving opportunities on the table. Kimi K3, with a more disciplined approach, closed the deal at full price, showing a fair and focused management style.

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What This Means for Smart Home and Appliance Businesses

If AI is to manage critical functions—like customer support, inventory, or even smart device operations—it’s not enough for it to generate convincing chat responses. The real question is whether the AI can finish what it starts, read relevant internal information, and stay honest under pressure. These attributes directly impact operational integrity and profitability.

Live, Transparent Testing

Firmulate’s live site shows this experiment running daily, with a real, money-losing company simulating its worst week. Every decision is logged and auditable, giving businesses a clear view of AI’s management style before deploying it in their own operations.

Why You Should Care

For companies in the smart home space, where AI could control devices, handle support, or manage supply chains, understanding AI’s management personality isn’t just academic. It’s about trust, honesty, and performance. The models’ ability to prioritize integrity over manipulation, and their capacity to understand complex internal data, might be the difference between a successful deployment and a costly failure.

The League Table

The experiment’s final scores tell a compelling story:

  • GPT-5.6-sol: 95 points, identified the buried fact, closed the deal—showcasing full performance.
  • Kimi K3: 93 points, the disciplined newcomer, also closed the deal with the cleanest management style.
  • Sonnet 5: 88 points, closed the deal but with some process slips.
  • Fable 5: 77 points, closed the deal but with more slips, and discipline was weaker.
  • Baseline: 26 points, showing partial progress—highlighting the importance of internal data reading and integrity.
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business AI decision-making tools

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Get Your Business Wargamed

Curious how your smart home company would fare? Try the interactive quiz to guess which AI model would make which management decision. Want to see your own business tested? Run a simulation with your data—nothing writes back, but you’ll get invaluable insights into your AI’s management style.

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AI customer support automation

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Final Thought

As AI increasingly takes on management roles, understanding its personality, integrity, and decision-making style will be crucial. This live experiment proves that AI can handle crises and stay honest—but only if you choose the right model. Whether it’s running your customer support or optimizing your supply chains, testing AI thoroughly before deployment could save your business from costly mistakes.

Infographic —
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


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AI internal data analysis tools

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