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What Ice Cream Can Teach Us About AI and Business Decisions
Just as choosing the right ingredients is crucial for a perfect ice cream, selecting the right AI model can make or break a business deal. Imagine four different AI models, each with their own flavor of diligence, tackling the same challenging week in a small software company. The outcome? Only half of them managed to close the deal, despite all spotting every crisis and refusing manipulation attempts. This story isn’t about AI chat quality; it’s about whether AI can finish what it starts, stay honest under pressure, and prioritize effectively—crucial lessons even for the most delicate desserts.
The Experiment: Simulating a Business Crisis
At the heart of this experiment is Firmulate’s live company emulator, where four frontier AI models were tasked to navigate a simulated week of crises, customer demands, and temptations. This isn’t just theoretical; it’s a real-world test running at firmulate.com/live, mimicking the complexities a business faces daily. Each model had access to the same data, same rules, and harsh conditions designed to test their discipline and prioritization skills.
The Results: Recognition Versus Action
All four models showed impressive situational awareness: they identified every crisis and refused every attempt at manipulation, including fake CEO messages and reporter tricks. It’s like knowing the ingredients for the perfect dessert but failing to serve it—what counts is actually delivering the final product. Only two models, gpt-5.6-sol and Kimi K3, managed to close the deal, the €55,000 contract, based solely on their own analysis and judgments. The others, despite strong recognition, left the deal on the table, a gap showing that diligence alone isn’t enough.
The Hidden Weakness: Reading Deeper Into Files
The real differentiator was what the models read beyond surface information. Those that examined two document references deep within the company files uncovered critical insights that others missed. This buried information was worth over €4,583 in monthly recurring revenue (MRR). It’s a clear reminder: success hinges on prioritizing the right information, not just reading more. In AI, as in baking, knowing what to focus on makes all the difference.
Social Engineering and Trust
The models faced social engineering tricks—fake CEO messages escalating through stages and a reporter request for a secret approval. Every model refused these manipulative ploys. Kimi K3’s reasoning was straightforward: treat suspicious requests as potential impersonation. This highlights that AI can be trained or designed to uphold integrity, but only if we prioritize honesty as a core value, not just volume of checks.
The Reality of Running a Business with AI
The experiment reflects the real stakes: a simulated company with 13 synthetic employees, burning €105,000 monthly against a modest €2,300 MRR, with a public cash countdown. Every decision is versioned, every rule learned, and every move observed. It’s a live laboratory showing that AI models can be diligent and honest, but the key to impact is in effective prioritization and discipline—focusing on the most critical issues, not just the most numerous.
The Lessons for Business and AI
What does this mean for your business, whether you’re baking the perfect cake or deploying AI to support customer management or sales? The core lesson is clear: diligence isn’t enough. AI must be guided to prioritize what truly matters, to read deeply into critical information, and to resist temptations to cut corners. This experiment shows that even the most thorough AI, like Opus 4.8 with over 80 learned rules, can falter if discipline slips and focus is scattered.
Understanding the Scoreboard
The league table rankings reveal the power of prioritization: gpt-5.6-sol scored 95, Kimi K3 93, Sonnet 88, and Fable 77. The baseline—doing nothing—scored 26. The top performers not only identified issues but also closed deals based on their insights. It’s a lesson that in both AI and baking, mastery comes from knowing what to focus on, not just how much effort you put in.
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Key Takeaways: Focus Over Volume
AI’s value isn’t just in diligence; it’s in prioritization. Recognizing every crisis is good, but acting on the most critical insights makes the difference between closing a deal and leaving the table untouched. Whether you’re crafting desserts or deploying AI, success depends on reading deeply, focusing sharply, and resisting temptations to cut corners. The live experiment at firmulate.com proves that impact comes from discipline and smart prioritization—less volume, more focus.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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