📅 2025-05-05 — Session: Refined and Corrected AI Schema and Prompts
🕒 04:00–04:30
🏷️ Labels: Schema, AI, Prompt, Openai, Modular, Function-Calling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The objective of this session was to refine and correct various AI schemas and prompts to enhance modularity, compliance, and functionality.
Key Activities
- Modular Schema Breakdown: Developed a modular schema for annotation, separating fields into basic and advanced layers for flexibility and potential monetization.
- Refined System Prompt: Created a refined system prompt for a screening agent, detailing responsibilities and output rules for structured metadata generation.
- Condensed System Prompt: Streamlined the system prompt for core responsibilities and output requirements.
- Correction of Minimal Schema: Provided corrections to a minimal schema for OpenAI function-calling, emphasizing the necessity of a
parameterswrapper. - Fixed
parsed_messageSchema: Corrected theparsed_messageschema to comply with OpenAI’s function-calling format.
Achievements
- Successfully created modular and refined schemas and prompts.
- Ensured compliance with OpenAI function-calling conventions.
Pending Tasks
- Further testing and validation of the refined schemas and prompts in real-world scenarios.