In a recent LinkedIn post, Teresa Torres explores the practical application of AI agents in automating business workflows, presenting a system for setting up specialized agents that can operate on your behalf.
Torres highlights the potential for AI to act as a proactive assistant, noting the experience of waking up to an AI agent that has already populated a to-do list. This scenario underscores the core idea of her post: creating AI agents that can manage tasks, follow-ups, and reviews automatically, freeing up human users for more strategic work.
“Learn how to set up AI agents that work on your behalf while you’re away from the computer. This article walks through a practical system for creating specialized agents—like a podcast manager, sales admin, and coding manager—that handle prep work, follow-ups, and weekly reviews automatically.”
The Architecture of AI Agents
Torres breaks down the creation of these AI agents into four key components. According to Torres, these essential elements are the agent’s identity, a scheduler, the specific tasks it needs to perform, and the scripts that enable it to interact with tools and data. This structured approach ensures that each agent has a clear purpose and the necessary mechanisms to fulfill its role.
Customized Scheduling and Task Management
A significant aspect of Torres’s system involves the flexibility in scheduling these agents. As she points out, agents can be configured to operate on various cadences, from waking up multiple times a day to performing tasks only once a week. This adaptability allows for the creation of highly tailored AI assistants suited to different operational needs.
Furthermore, Torres introduces a simple markdown-based system for task management. This method allows the agents to clearly understand their directives and priorities. She emphasizes the importance of security and control:
“How to safely give Claude access to specific tools through task-specific scripts instead of broad permissions”
This approach contrasts with granting overly broad permissions, which can pose security risks. Instead, Torres advocates for a granular, script-driven method to ensure agents can only access the specific tools and information required for their designated tasks.
Building Your Own AI Agent Team
Torres provides a clear roadmap for implementation, stating that the process of building a team of these specialized agents can be accomplished in approximately one hour. This accessibility suggests that businesses of various sizes can begin to leverage AI automation without extensive technical overhauls or long development cycles.
The author poses a question to her audience, seeking to understand which type of agent would be most beneficial for their specific workflows, whether it be for administrative tasks, content preparation, or other areas. This engagement highlights the potential for widespread adoption and customization of AI agents across different professional domains.
In essence, Teresa Torres’s LinkedIn post outlines a tangible framework for integrating AI agents into daily operations, transforming them from theoretical concepts into practical tools for enhancing productivity and efficiency.
📝 About This Content
This article is based on insights shared by Teresa Torres on LinkedIn.
📅 Originally posted on May 20, 2026 | View original post on LinkedIn →