📅 2024-12-01 — Session: Developed Sub-Agents and Input Agent Framework
🕒 23:20–23:50
🏷️ Labels: Automation, NLP, Data Integration, Python, Workflow Optimization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to design and plan the architecture for automating email and RSS feed processing, developing an Input Agent for data ingestion, and evaluating NoSQL and messaging options for data integration.
Key Activities
- Sub-Agents Layer for Email and RSS Processing: Outlined steps to automate classification using NLP and integrate with tools like Zapier, Google Calendar, and Notion.
- Tech Stack for Input Agent: Developed a framework for ingesting, preprocessing, and harmonizing data from various sources.
- NoSQL and Message Queue Options: Evaluated databases and messaging systems like MongoDB, DynamoDB, RabbitMQ, and SQS for effective data handling.
- Python Script Architecture: Designed modular Python scripts for data ingestion, processing, integration, and messaging.
- Integrating Notion: Planned integration of Notion for workflow optimization.
- Tool Redundancy Evaluation: Assessed tool overlaps and integration strategies, deciding against adding Notion due to redundancy.
Achievements
- Completed a comprehensive plan for automating and optimizing data processing workflows.
Pending Tasks
- Implement the outlined architectures and integrations.