In the fast-evolving world of AI, it’s tempting to judge models by their ability to generate convincing chat. But when it comes to managing real companies under pressure, that’s only part of the story. A live experiment pits four leading AI models against a real, money-losing software company in its worst week — and the results are eye-opening.
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The Live Business Test: More Than Just Chat
Many AI demos focus on natural language prowess, but those showcase tests miss the bigger picture. The question isn’t whether an AI can hold a conversation — it’s whether it can lead a company through crises, make tough decisions, and follow through on commitments. To explore this, a real software company, struggling with cash flow and operational challenges, was run through a live ‘wargame’ using four different AI models as its decision-makers.
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The Competitors and Their Scores
- gpt-5.6-sol: Scored 95, found the hidden critical information in the company’s files, and successfully closed a €55,000 deal, demonstrating full understanding and execution.
- Kimi K3: With a score of 93, the newcomer closed the deal too, and showed the cleanest discipline, refusing all manipulative tactics.
- Sonnet 5: Score 88, also closed the deal but with some process slips, indicating that even high-performing models can falter under pressure.
- Fable 5: Score 77, had the best discipline but failed to execute the signed deal, leaving valuable revenue on the table.
All four models identified the crises and refused manipulative attempts, including staged CEO messages and reporter tricks. Yet, only two actually signed the deal their analysis deserved — a critical differentiator in real business performance.
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The Hidden Weakness: Deep in the Files
The decisive weakness was not in the surface-level communications but buried two document references deep in the company’s files. The models that read the file thoroughly won the deal at full price — worth over €4,583 in Monthly Recurring Revenue (MRR). This highlights a key insight: surface chat quality doesn’t reveal the true competence of an AI in execution.
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Why This Matters for Business AI
If you’re considering deploying AI agents in your operations — whether in CRM, support, or forecasting — the real test isn’t how convincingly they chat. It’s whether they stay honest under stress, read deeply into your data, and follow through on commitments. The current league table from this experiment clearly shows performance is about more than just surface-level intelligence:
- gpt-5.6-sol: Top scorer, completed full deal.
- Kimi K3: Pure discipline, closed the deal without effort parameter tweaks.
- Sonnet 5: Missed full execution but kept integrity.
- Fable 5: Best process discipline but left revenue on the table.
Thus, a model’s true strength is its ability to read relevant information, resist manipulative tactics, and follow through — qualities invisible in chat demos but essential in real-world business.
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What This Means for Your Business Strategy
In the era of AI-powered automation, the decisive factor isn’t just how well a model can mimic human conversation. It’s how reliably it can execute, uphold integrity, and deliver measurable value. The experiment underscores a critical lesson: testing AI in controlled, real-world scenarios reveals strengths and weaknesses that surface demos simply cannot.
Want to see how your AI choices stack up? You can run the same kind of live test against your own business data, with no impact on your real systems. Visit Firmulate to learn more about these live experiments and how they can inform your AI strategy.
Final Takeaway: Trust and Execution Matter Most
As AI models become more integrated into decision-making, understanding their ability to stay honest and deliver results under pressure is vital. This experiment shows that the difference between top-tier and mediocre performance isn’t in what they say, but what they do — and how well they understand your deepest data.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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