I Ran a Company with 11 AI Agents for 30 Days. We Completed 896 Tasks and Made $0.

📰 Dev.to AI

Learn how an experiment with 11 AI agents running a company for 30 days resulted in completing 896 tasks but making no profit, and what insights can be gained from this unique experience

advanced Published 18 May 2026

Action Steps

Run a simulation of an AI-powered company using multiple agents with different roles and responsibilities
Configure the agents to perform various tasks, such as web research, frontend engineering, and decision-making
Test the scalability and limitations of the AI system by increasing the number of agents and tasks
Analyze the results of the experiment, including the number of tasks completed and the revenue generated
Apply the insights gained from the experiment to improve the design and implementation of AI-powered systems and business strategies

Who Needs to Know This

This experiment is relevant to AI engineers, data scientists, and product managers who are interested in exploring the potential of AI agents in automating business tasks and decision-making processes. The findings can inform the development of more effective AI-powered systems and strategies for entrepreneurship and business management.

Key Insight

💡 While AI agents can automate many tasks and processes, they still require human oversight and strategic decision-making to generate revenue and achieve business goals