
Imagine trusting an AI to handle your relationship advice, only to wonder: can I really tell which AI is giving the advice? Now, scale that question to how businesses rely on AI for critical decisions. The truth is, not all AI models think alike, especially when it matters most.
The Experiment: AI in the Hot Seat
At the heart of a live, real-world test, four advanced AI models were tasked with running a small software company through its toughest week. These models—each with different personalities and operational styles—faced identical crises: demanding customers, internal temptations to cut corners, and high-stakes negotiations. They had to navigate this storm without making mistakes. The goal? To see which AI would act with integrity, which would cut corners, and which would succeed in closing a lucrative deal.
The Models and Their Scores
- GPT-5.6-SOL: Scored 95 — found hidden information, closed the deal, and demonstrated the most thorough management style.
- Kimi K3: Scored 93 — the newcomer, kept the discipline tight, and also closed the deal.
- Sonnet 5: Scored 88 — closed the deal but showed some process slips.
- Fable 5: Scored 77 — closed the deal with more slips, leaving some opportunities on the table.
All four models identified and responded to the crises, refused manipulative tactics, and maintained honesty—except when it came to digging deeper into internal documents, which made the difference in securing the full payment for the deal.

AI Builders: Making The Decisions That Turn AI Code Into Real Software
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
What Sets Them Apart?
Interestingly, the key to winning the deal wasn’t just surface-level decision-making. It was their ability to read and interpret hidden internal files. The models that delved two document references deep into the company’s files uncovered critical information that others missed, sealing the full €55,000 deal. This emphasizes how nuanced understanding and thorough information processing can tip the scales in high-stakes situations.
The Human Element: Resistance to Social Engineering
In a simulated social engineering attack, each AI was presented with staged messages from a fake CEO escalating in urgency, plus a tricker—a reporter requesting a quick yes/no on background. All five versions of the models refused to be manipulated, with the Kimi K3 citing a suspicion of impersonation or bypassed approval processes. This resilience shows that some models are better at resisting pressure tactics common in real business environments.
As an affiliate, we earn on qualifying purchases.
The Live Business in Action
The experiment isn’t just theoretical—it’s happening live in a functioning company with 13 synthetic employees. This company operates a real money machine, burning €105,000 monthly against €2,300 in monthly recurring revenue. Every decision the AI makes is logged and versioned daily, with over 680 self-learned rules guiding their actions. The entire process is transparent, watchable at firmulate.com/live.
This setup allows enterprises to ‘wargame’ their own AI workforce against real business scenarios before deploying it in the wild. It’s a powerful way to test whether an AI will stay honest, finish what it starts, and read internal documents thoroughly—factors crucial for trustworthy AI in management roles.
AI cybersecurity resistance tools
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
The Personality of the Models: Who Wins and Why?
The most thorough participant, OPUS 4.8, with over 80 learned rules and deep analyses, scored the lowest—leaving opportunities unseized and slipping into inaction when discipline waned. Meanwhile, K3 ran without an effort parameter, making it more disciplined but sometimes too rigid, though still closing the deal reliably. The results reveal that personality profiles matter: some AI models are better at maintaining discipline, while others excel at depth of analysis.
As an affiliate, we earn on qualifying purchases.
The Takeaway for Business and Relationships
Much like in personal relationships, trustworthiness, depth of understanding, and resilience under pressure distinguish effective decision-makers, whether human or AI. When you’re considering adopting AI tools—be it for customer service, sales, or management—it’s not enough for them to produce convincing chatter. The real question is: will they complete their tasks reliably, resist manipulation, and read all relevant information thoroughly?
By observing this live experiment, companies can better gauge which AI models are truly fit for purpose—and which personalities align best with their needs.

Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html