In a recent post, Nathan Hirsch shared an innovative way to leverage Zapier Copilot to build a custom AI Agent for tracking business and AI news. The goal is to streamline the process of gathering useful information without getting lost in excessive content.
Key Steps in Building the AI Agent:
- Step 1: Start from a Template
He utilized the "Daily AI News Tracker" template from Zapier, minimizing setup time and avoiding paralysis from a blank canvas. - Step 2: Customize the Agent
Hirsch configured the Agent by specifying his preferred topics, allowing Copilot to rewrite the setup instructions in straightforward language. - Step 3: Connect Necessary Tools
Needed sources, feeds, and communication platforms like Slack were seamlessly linked, with Copilot managing the technical details. - Step 4: Test and Refine
He made requests to refine the Agent, such as tightening summary outputs, with Copilot instantly updating its functionalities. - Step 5: Publish and Automate
Finally, daily summaries of relevant insights were set to be delivered automatically, keeping the noise at bay.
This process illustrates a crucial shift in automation—moving from traditional workflows to describing jobs that the AI can execute. For developers and builders, this approach not only enhances productivity but also ensures relevant information tracking without the overwhelm of information overload.