SayPro Full submission of GPT Extract Logs (minimum 1,200 entries for May).

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SayPro GPT Extract Log Submission Report – May 2025

Metric Reference: SayPro MEL-R | GPTLOG Compliance Tracker
Department: Monitoring, Evaluation & Learning Royalty (MEL-R)
Compiled By: SayPro M&E Data Team
Date of Submission: 1 June 2025
Reporting Period: 1 – 31 May 2025


Summary of GPT Log Submission Compliance

SayPro successfully submitted a total of 1,276 GPT extract entries for the month of May 2025, exceeding the internal minimum monthly threshold of 1,200 entries. This ensures full compliance with SayPro’s GPT Prompt Monitoring Standard (SayPro-GPTLOG01) under the MEL Royalty framework.


📊 Submission Overview

Target ThresholdActual Entries SubmittedCompletion RateStatus
1,200 entries (May)1,276 entries106.33%✅ Complete

📋 Weekly Breakdown of Submissions

WeekEntries LoggedResponsible UnitEvidence File(s)
Week 1 (1–7 May)312 entriesMEL-R & LMS Data TeamGPTLOG_WK1_MAY25.xlsx
Week 2 (8–14 May)298 entriesMEL AnalystsGPTLOG_WK2_MAY25.pdf
Week 3 (15–21 May)335 entriesGPT Monitoring OfficersGPTLOG_WK3.zip (CSV + Log Texts)
Week 4 (22–31 May)331 entriesData Validation + QA TeamGPTLOG_WK4_Report.xlsx

🔍 Log Characteristics

  • 📌 Prompt Types: Learner summaries, feedback extraction, course rankings, performance audits.
  • 🔁 Repeat Use of Templates: Ensured consistency in formatting and metadata tagging.
  • 🧾 Formats Submitted: Excel (80%), CSV (15%), PDF exports (5%).

📂 Archiving & Verification

  • Storage Location: SayPro/Archive/GPTLogs/May2025
  • Reviewed By: MEL-R Supervisor and Data Compliance Officer
  • Automated Log Check Timestamp: All entries verified via SayPro GPT Monitoring Console

🧭 Impact and Use

  • Enabled generation of Learning Analytics Dashboards
  • Informed course engagement optimization
  • Supported monthly SCLMR report indicators for user interaction trends

🟢 Conclusion

With 1,276 GPT extract logs submitted, SayPro has fulfilled and exceeded its May 2025 GPT logging obligation under MEL standards. This data has been fully integrated into monthly evaluations and supports strategic platform improvements.

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