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Matt 928b1c65dc
Build and Push Docker Image / build (push) Successful in 9m11s Details
Optimize AI system with batching, token tracking, and GDPR compliance 
- Add AIUsageLog model for persistent token/cost tracking
- Implement batched processing for all AI services:
  - Assignment: 15 projects/batch
  - Filtering: 20 projects/batch
  - Award eligibility: 20 projects/batch
  - Mentor matching: 15 projects/batch
- Create unified error classification (ai-errors.ts)
- Enhance anonymization with comprehensive project data
- Add AI usage dashboard to Settings page
- Add usage stats endpoints to settings router
- Create AI system documentation (5 files)
- Create GDPR compliance documentation (2 files)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 		2026-02-03 11:58:12 +01:00
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Notes Display filtering controls inline for FILTERING round type 2026-02-03 10:33:34 +01:00
architecture Optimize AI system with batching, token tracking, and GDPR compliance 2026-02-03 11:58:12 +01:00
gdpr Optimize AI system with batching, token tracking, and GDPR compliance 2026-02-03 11:58:12 +01:00
candidatures_2026.csv Initial commit: MOPC platform with Docker deployment setup 2026-01-30 13:41:32 +01:00