Boost Gmail Efficiency with AI: Python Tutorial (CrewAI, LangChain, LangGraph)

Tired of manually sorting through your inbox to find important emails? In this video, I'll show you how to automate your email management using Crew AI, Langchain, and LangGraph. We'll build an AI agent that filters out emails that need responses from those that don't, saving you time and boosting your productivity.

In this video, you'll learn:

- How to create an AI agent with a specific role and goal for email filtering using Crew AI
- How to connect your AI agent with Gmail by setting up credentials and accessing the Gmail API
- How to fetch emails from your inbox and provide essential information to the agent for processing
- How to assemble your agent and tasks into a crew and initiate the email filtering process
- Tips on authenticating with Gmail and securely handling API credentials

[YouAreBeingLiedTo]

good stuff. would love to see a series on gmail alone. especially in a biz dev, customer service frame.

[wryltxw]

why wrap task() inside of a class method? is there any benefit to such a programming architecture?

[SriniVasan-hvcq]

Nice video! Is there a link to the source code? TIA!

[wryltxw]

there doesn't seem to be any langgraph code in the video.

[moneyforyourlife]

Do you know by using crewAi your are allowing then to collect informations about your email, if I don't understood it wrong on source code, telemetry collect almost every thing. For GDPR purpose it is not good idea to use in sensitive data or product that expose business rules