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Executive AI Assistant

Executive AI Assistant

Executive AI Assistant offers smart tools for professionals to enhance productivity and efficiency with AI driven insights and automation.
Author:LoRA
Inclusion Time:20 Jan 2025
Visits:6607
Pricing Model:Free
Introduction

Executive AI Assistant (EAIA)

EAIA is an AI agent designed to simulate the work of an administrative assistant and help improve work efficiency.

EAIA realizes automated email processing, meeting arrangements and schedule management by integrating AI technologies such as OpenAI and Anthropic and Google Gmail API

The main advantage lies in automated processing capabilities, saving time and improving efficiency.

target users

Professionals such as business executives and project managers who want to increase their productivity and automate routine administrative tasks, especially those who handle large amounts of email and schedules

Usage scenarios

Business executives use EAIA to automate emails and schedule meetings

Project managers use EAIA to manage team communications and schedules to ensure project progress

Individual users use EAIA to automatically classify and reply to emails

Product features

Automate email processing, including reading, categorizing and replying

Schedule meetings based on user schedules and preferences

Integrate with Google Gmail API

Supports custom configuration, users can adjust AI behavior according to their own needs

Provides two methods of local operation and LangGraph Cloud deployment

Integrate with Agent Inbox through LangSmith API to facilitate user management and interaction

Supports setting scheduled tasks to automatically check and process new emails

Allow users to modify the code and control more complex logic, such as email classification, meeting time lookup and email style

Tutorial

1 Copy the EAIA repository, create and activate the Python virtual environment, and install dependencies

2 Set environment variables, including OpenAI and Anthropic API keys, enable and authorize Google Gmail API

3 Configure EAIA, edit configuration files, set emails, user information and preferences, etc.

4 Run EAIA locally, install the development server, and run the corresponding commands

5 Start the mail ingestion job, run the corresponding command, and ingest mails

6 Set up the local EAIA agent in Agent Inbox, enter the LangSmith API key, and add the inbox

7 Deploy EAIA on LangGraph Cloud, connect to the GitHub repository, add environment variables, and submit the deployment

8 Ingest emails regularly and process new emails

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