Matt 928b1c65dc 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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migrations	Decouple projects from rounds with RoundProject join table	2026-02-02 22:33:55 +01:00
check-data.ts	Decouple projects from rounds with RoundProject join table	2026-02-02 22:33:55 +01:00
cleanup-all-dummy.ts	Decouple projects from rounds with RoundProject join table	2026-02-02 22:33:55 +01:00
cleanup-dummy.ts	Decouple projects from rounds with RoundProject join table	2026-02-02 22:33:55 +01:00
schema.prisma	Optimize AI system with batching, token tracking, and GDPR compliance	2026-02-03 11:58:12 +01:00
seed-candidatures.ts	Decouple projects from rounds with RoundProject join table	2026-02-02 22:33:55 +01:00
seed-jury-assignments.sql	Initial commit: MOPC platform with Docker deployment setup	2026-01-30 13:41:32 +01:00
seed-jury-demo.sql	Initial commit: MOPC platform with Docker deployment setup	2026-01-30 13:41:32 +01:00
seed-jury-demo.ts	Decouple projects from rounds with RoundProject join table	2026-02-02 22:33:55 +01:00
seed.ts	Update seed: real admin accounts, remove all dummy data	2026-01-30 16:40:07 +01:00
set-admin-pw.sql	Initial commit: MOPC platform with Docker deployment setup	2026-01-30 13:41:32 +01:00