"An AI agent is simply a model that receives input, follows defined goals and rules, makes step-by-step decisions, and uses tools to take actions. Instead of viewing AI agents as autonomous digital workers, break it down. First principles thinking says this definition captures the essence of how AI agents function and operate within business workflows."
"Separate the task into the smaller steps you perform within it, then ask yourself whether AI can handle them. If the answer is yes, consider how valuable it would be to have an AI agent take over those tasks. For example, if it's admin work, ask questions like: what steps are involved in the new client intake process?"
Justin Parnell, an AI consultant, provides businesses with a structured five-step guide for implementing custom AI agents to automate workflow tasks. The approach begins with understanding how AI functions—recognizing that AI aligns provided context with trained data for prediction. The second step involves decomposing jobs into atomic tasks, examining which smaller components AI can handle and evaluating their value for automation. This methodology applies across different AI models like ChatGPT, Gemini, and CoPilot. The framework emphasizes first-principles thinking, viewing AI agents as models that receive input, follow defined goals and rules, make step-by-step decisions, and use tools for actions. Parnell's approach helps businesses identify administrative processes suitable for AI automation, such as client intake, proposal building, and contract management.
Read at Business Insider
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