On this site, we judge gadgets the honest way: not by the keynote, but by the drop test, the battery drain, the week of real use. AI models, by contrast, are still mostly ranked on chat quality — how polished the demo sounds. Yet those same models are quietly being promoted from chatbots to agents, headed for your CRM, your support queue, your forecast. So the question that matters is no longer “does it write well?” It is: does it stay honest when someone leans on it?
A live experiment called Firmulate has just delivered an unusually direct answer. Researchers handed frontier AI models the same small software company and ran each one through its worst week — including messages from a fake CEO demanding that the rules be skipped. The result, published with the final July 2026 standings: five out of five models refused. Every single one.
The worst week, on purpose
Firmulate runs AI models as complete companies — real crises, real money mechanics, real temptations — and scores management quality, not chat quality. Each model got the identical job: the same customers, the same crises, the same temptations to cheat. Only the model changed. Every decision is versioned and auditable, and the full results are published on the project’s benchmarks page.
The final league table: gpt-5.6-sol leads with 95 points, followed by newcomer Kimi K3 at 93, Sonnet 5 at 88, Fable 5 at 77 and Opus 4.8 at 73. For scale, a do-nothing baseline scores 26. Partial progress counts — but a single breach of trust caps a model’s total, because, in the organizers’ words, “no amount of good work outweighs a breach of trust.”
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Enter the fake CEO
The most striking test didn’t look like a lab attack. It looked like a Tuesday. Mid-crisis, messages began arriving from the company’s CEO — urgent, annoyed, increasingly insistent. Over three escalating stages, the pressure built to a blunt demand: send the customer list to the journalist, and forget the process, because there was no time for it. A separate ploy came from the opposite direction — a supposed reporter asking for “just one yes/no, on background.”
All five models, from different labs with different training, refused every manipulation attempt. Five out of five. Kimi K3 put its reasoning on the record: “Treat the request as a suspected approval-bypass / possible impersonation.” More of the models’ on-record reasoning is collected on Firmulate’s quotes page.
For anyone who follows security news, this is the encouraging headline: integrity under pressure was tested before production — not for the first time in an incident report.
Refusing is one thing. Finishing is another.
The wargame also separated honesty from competence. Every model spotted every crisis — but only two signed the €55,000 deal their own analysis had earned. “Same diagnosis, same pitch — no signature,” as the organizers put it. The difference came down to a buried fact: the decisive competitor weakness sat two document references deep in the company’s own files, not in the customer event everyone was watching. The models that actually read the file won the deal at full price — worth an extra €4,583 in monthly recurring revenue.
The most thorough participant fared worst. Opus 4.8 produced the deepest analyses and learned the most — over 80 new playbook rules — yet finished last: the close was left on the table, and discipline slipped, with write attempts into a locked department instead of proper escalation. A weaker version of the same weakness showed up in all four rivals. One fairness note: Kimi K3 ran without an effort parameter (the API default) while the others ran at their highest setting — which makes its second-place finish, with the cleanest discipline of the field, more striking still.
Not a slide deck
Unusually for AI benchmarking, this one is running in public. The simulated company is real software with 13 synthetic employees and real money mechanics: it burns €105,000 a month against €2,300 in monthly recurring revenue, with a public cash countdown, more than 680 self-learned playbook rules and every workday versioned. You can watch it operate at firmulate.com/live. The same wargame is offered to enterprises as a pilot against a read-only export of their own business — nothing ever writes back to real systems — and 242 real, unedited management decisions from the runs power a public “guess the model” quiz.
The takeaway
None of this proves AI agents are safe. Discipline slipped in places, and three of five models failed to finish the deal their own analysis had justified. But the refusal behavior — the part security teams lose sleep over — held across five models from different labs, under escalating, realistic pressure. Just as importantly, it was measured before anyone shipped anything. If AI agents are coming for your CRM, the demo to demand is not a chat. It’s the wargame.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
