Imagine an AI that doesn’t just answer questions but actually reads your company’s files, finds hidden details, and uses that information to make critical business decisions. In a recent live experiment, four top AI models were tested on a simulated company’s worst week, revealing a surprising truth: the difference between winning and losing a €55,000 deal often sat two references deep in internal files — not in the customer interactions themselves.
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The Experiment: Testing AI’s Ability to Read Between the Lines
In an unprecedented live trial, four leading AI models, including GPT-5.6-sol and Kimi K3, were tasked with managing a small software company during its most turbulent week. The scenario was carefully crafted to mimic real-world crises, customer demands, and temptations to cut corners. Every decision made by the AI was recorded and auditable, ensuring transparency and rigor in the evaluation.
The goal? To see whether these models could navigate the complexities of the business environment, identify crucial hidden facts, and make honest, effective decisions under pressure. The results were revealing: all four models successfully identified every crisis and refused manipulation attempts, such as social engineering attacks designed to trick them into breaches of trust.
