App developer shares how to create simple yet powerful agents to automate your daily tasks and categorize emails using AI.
Using modular, reusable code allows for flexibility, reusability, and maintainability.
Code snippets for authenticating with the Gmail API, creating Gmail labels, and reading emails are shared in the article.
An LLM is used to classify emails based on a predefined list of categories.
The article includes an example code that creates Gmail labels for email categories and updates the emails with the appropriate label.
The article highlights Znote, a notebook with live coding and AI that helps track and enhance workflows.
Readers are encouraged to explore more advanced examples for reading email content, sending drafts, and building everything needed for fully automated responses with AI.
The article challenges readers to turn daily tasks into something fun and efficient.
By incremental approach, manual steps can be replaced with automated ones.
So, by using AI-powered email agents, the user can have a smarter and more organized inbox.