📅 2024-12-06 — Session: Enhanced Job Analysis and AI Integration
🕒 19:20–20:15
🏷️ Labels: Job Analysis, Ai Integration, Data Processing, Python Scripting
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to refine job analysis tools and integrate AI model recommendations and performance evaluations.
Key Activities
- Improved User Message for Job Analyzer Agent: Refined a user prompt template for better job analysis in the data science field.
- Revised User Prompt for Job Posting Analysis: Developed a structured prompt for analyzing job postings, tailored to user profiles and preferences.
- Tiered Model Upgrade Recommendations: Planned AI model upgrades considering budget and performance, with a strategic approach to selecting model tiers.
- Evaluation of Model Performance: Assessed the performance of models used in job data processing to identify strengths and areas for improvement.
- Evaluation of Job Record Updates: Reviewed enhancements in job record processing, noting workflow improvements.
- Database Integration with Google Sheets: Executed a Python script to integrate databases with Google Sheets, detailing setup and functionality.
- Organizing Google Sheets Export Script: Structured the script within the project for maintainability and reusability.
Achievements
- Developed improved prompts for job analysis and job posting evaluation.
- Formulated a strategic plan for AI model upgrades.
- Completed performance evaluations and identified improvement strategies for job data models.
- Successfully integrated database with Google Sheets via Python.
Pending Tasks
- Further refinement of AI model upgrade strategies based on performance feedback.
- Continuous improvement of job processing workflows.