The author expresses envy over how software engineers leverage AI, noting that they can assign multiple coding tasks to an AI agent, allowing them to multitask effectively. While these engineers may have their AI handle 15 to 20 tasks, business professionals often struggle to keep up with their workloads. The author points out that they wish for a similar capability, especially when they leave meetings with numerous tasks and little time to process them. To improve their workflow, the author integrated the Gemini command line with Asana, enabling them to issue commands directly and use a team of AI agents. This setup allows the AI to access essential tools like email, calendar, and CRM systems, streamlining the process of task management. As a result, the author increased their productivity from producing 10 to 31 tasks daily, with agents working on tasks even while they are occupied with meetings. The author describes a specific instance where an AI agent conducted a statistical analysis of their Asana usage. It generated code to pull data from the Asana API and create visualizations based on that data. The collaboration between the author and the agent involved extensive back-and-forth discussions in Asana comments, indicating that the AI can handle complex tasks that require multiple iterations. Ultimately, the author emphasizes that the tools available to business professionals now allow for a significant increase in productivity, mirroring the advantages software engineers have enjoyed with AI for some time. The shift to using these AI agents is not a future possibility; it’s already happening.