📅 2025-02-08 — Session: Developed AI Text Analysis Framework
🕒 22:35–23:20
🏷️ Labels: AI, Text Analysis, Schema, Reading Strategies, Cognitive Science
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a framework for AI systems to perform expert-level comprehension of book texts, focusing on surface-level understanding and text analysis.
Key Activities
- Outlined cognitive processes for analyzing text chunks from books.
- Proposed a framework for designing AI systems mimicking expert comprehension.
- Discussed challenges in AI-based text analysis.
- Created a JSON schema and prompt for AI reading.
- Developed a structured approach for AI to perform surface-level text analysis.
- Designed structured prompts for AI text analysis.
- Explored strategies for passage type detection and text structuring.
- Presented a JSON schema for extracting structured information from book excerpts.
Achievements
- Developed a comprehensive framework for AI text analysis.
- Created structured prompts and schema for AI reading comprehension.
Pending Tasks
- Implement the designed framework and schema in a practical AI system.