Developed Notion-based Annotation and Dashboard System

• Day: 2025-05-05
• Time: 03:00 to 05:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Notion, Annotation, Automation, Dashboard, Schema

Description

Session Goal

The session aimed to develop a comprehensive system in Notion for annotation, automation, and visualization to optimize productivity and revenue generation.

Key Activities

• Profit-Oriented Annotation System: Planned a structured approach to leverage Notion for an annotation schema that enhances revenue generation through organized session logs and automation.
• Integrating Annotated JSONL with Notion: Strategized on converting annotated JSONL files into a structured Notion workspace for monetization and collaboration.
• Insight Harvesting and Knowledge Management: Explored using Notion for personal knowledge management and monetizing annotated AI sessions.
• Visual Dashboards: Created visual dashboards in Notion using gallery views, color-coded tags, Kanban boards, and smart collections for enhanced organization.
• Modular Schema Breakdown: Developed a modular schema for lightweight annotation with options for richer fields for monetization.
• System Prompt for Screening Agent: Refined and condensed system prompts for a screening agent to generate structured metadata from AI sessions.
• Correction of Minimal Schema: Corrected and fixed schemas for OpenAI function-calling to ensure compliance and metadata alignment.
• Data Processing with Pandas: Provided Python code for loading and flattening JSONL files using Pandas.

Achievements

• Developed a comprehensive Notion-based system for annotation and visualization.
• Enhanced schemas and prompts for AI session management.
• Improved data processing techniques using Python and Pandas.

Pending Tasks

• Further testing and refinement of the Notion integration with JSONL files.
• Continued development of the screening agent prompts and metadata alignment techniques.

Evidence

• source_file=2025-05-05.sessions.jsonl, line_number=0, event_count=0, session_id=a3639ba64187738a5024a4fa60916af3699fc628ece9ac304a7fa76ba1f3baf7
• event_ids: []