📅 2024-12-01 — Session: Designed automation architecture for email and RSS processing
🕒 23:20–23:50
🏷️ Labels: Automation, NLP, Data Integration, Workflow Optimization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to design an automation architecture for processing emails and RSS feeds, integrating various tools and technologies.
Key Activities
- Outlined the architecture and implementation steps for a sub-agents layer to automate classification of emails and RSS feeds using NLP techniques.
- Explored tech stack and methodologies for developing an Input Agent for data ingestion, preprocessing, normalization, and harmonization.
- Reviewed NoSQL databases and message queue systems for handling semi-structured data, including MongoDB, DynamoDB, RabbitMQ, and Amazon SQS.
- Proposed a structured architecture for Python scripts to facilitate data ingestion, processing, integration, storage, and messaging.
- Discussed integrating Notion for workflow optimization and evaluated tool redundancy and integration strategies.
Achievements
- Developed a comprehensive plan for automating email and RSS feed processing using a sub-agents layer.
- Identified suitable technologies and methodologies for data ingestion and processing.
- Established a structured approach for Python script development to ensure modularity and maintainability.
Pending Tasks
- Implement the outlined architecture and test integrations with Zapier, Google Calendar, and Notion.
- Finalize the selection of NoSQL databases and message queue systems for deployment.
- Conduct further evaluation of tool integrations to optimize workflow and productivity.