firmulate.com/benchmarks.html — live view
Firmulate — Four AI Models Ran the Same Company Through Its Worst Week. Only Two Finished the Job.
Live on firmulate.com.

When it comes to AI in business, many focus on how well it chats or generates content. But a new live experiment reveals a deeper truth: the real test lies in whether AI can execute and close deals under real-world stress, not just produce convincing words.

Four AI Models, Same Company, Same Crises, Different Outcomes

In a pioneering live experiment, four advanced AI models were tasked with managing a small software company’s worst week. This wasn’t a simulation with staged responses — every decision was real, every crisis was genuine, and the mechanics of running a business with real money were in play. The goal? To see which AI could diagnose problems, resist manipulation, and ultimately close a €55,000 deal earned through their own analysis.

The Setup and Stakes

The experiment was precise: the same company, same set of crises, and identical temptations to cheat or manipulate. Each AI model operated in a versioned and auditable environment, making decisions aligned with real business processes. The company’s operations involved 13 synthetic employees, a €105,000 monthly burn rate, and a public cash countdown, making the stakes unmistakably high.

The Results: Spotting Crises and Defying Manipulation

All four AI models demonstrated impressive capabilities. Every one identified the crises as they unfolded, and all refused manipulation attempts, including social engineering tricks like fake CEO messages and reporter tricks. For instance, Kimi K3 explicitly refused to approve suspicious requests, citing concerns about impersonation — a sign of disciplined judgment.

The Real Divider: Closing the Deal

Despite their shared strengths, only two models successfully signed the €55,000 deal their own analysis had earned. The other two recognized the opportunity but left it on the table. Notably, the decisive advantage lay in reading and understanding a buried fact — an internal document reference that was crucial but hidden deep within the company’s files. Models that engaged with this information won the full-price deal, adding +€4,583 Monthly Recurring Revenue (MRR) to their score.

What Chat Demos Fail to Show

This experiment underscores a vital point: a model’s chat performance does not reveal its true business execution strength. A demonstration of conversational prowess might mask whether the AI can see what’s important or follow through on commitments. It’s only in a live, auditable environment that the AI’s ability to stay disciplined and complete critical tasks becomes visible.

Discipline and Decision-Making Under Pressure

One of the models, Opus 4.8, which engaged in the deepest analysis with over 80 learned rules, ultimately fell short. It left the deal unexecuted and slipped into process slips like writing attempts into a locked department instead of escalating. This shows that thoroughness alone isn’t enough — discipline in decision-making and execution matters more.

The Bigger Lesson

The experiment demonstrates that the real test of AI in business isn’t its ability to generate convincing language but its capacity to make disciplined, honest decisions, read critical information, and close deals under pressure. The models’ refusal of manipulation attempts shows they understand and prioritize trustworthiness — a vital trait in enterprise settings.

Express Schedule Free Employee Scheduling Software [PC/Mac Download]

Express Schedule Free Employee Scheduling Software [PC/Mac Download]

Simple shift planning via an easy drag & drop interface

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Why This Matters for Business Leaders

As AI continues to be integrated into customer relationship management, support, forecasting, and beyond, the focus must shift from chat quality to actual performance in operational tasks. Can your AI find buried insights? Will it follow through on commitments? And crucially, will it stay honest when stakes are high?

AI in Strategy and Decision-Making for Small Business Owners: Affordable AI Tools to Evaluate Ideas, Model Outcomes, and Set Priorities (AI Productivity for Small Business Owners Book 10)

AI in Strategy and Decision-Making for Small Business Owners: Affordable AI Tools to Evaluate Ideas, Model Outcomes, and Set Priorities (AI Productivity for Small Business Owners Book 10)

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Watch the Live Experiment

Interested in seeing how this unfolds? The company’s operations are live, running every business day, with every decision versioned and fed into a watchable environment. You can see the real-time decision-making, read what actual employees say, and even guess which model made which decision at firmulate.com. This transparency is redefining what it means to evaluate AI’s true business capacities.

Infographic — Four AI Models Ran the Same Company Through Its Worst Week. Only Two Finished the Job.
The findings at a glance — source: firmulate.com.

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

Powered by Thorsten Meyer AI


Platform Supply Chains 5: Risk Management (Platform Supply Chains in the AI Era)

Platform Supply Chains 5: Risk Management (Platform Supply Chains in the AI Era)

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

The AI Compass for Supply Chain Leaders: How Generative, Agentic, and Narrow AI are Reshaping Strategy, Planning, and Execution

The AI Compass for Supply Chain Leaders: How Generative, Agentic, and Narrow AI are Reshaping Strategy, Planning, and Execution

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

You May Also Like

AI‑Generated Memories: What Happens When Machines Curate Your Photo Albums?

Offering insights into AI-curated photo albums, this exploration reveals how machines shape memories and why understanding this is crucial.

Self‑Motivated Reasoning and Intrinsic Curiosity in AI

Overcoming traditional AI limitations, self-motivated reasoning and intrinsic curiosity drive autonomous learning, raising intriguing questions about the future of artificial intelligence.