Overview
From a fragmented archive to one editorial system
- Input
- System
- Output
- Fragmented databases
- Articles and books
- Videos and lectures
- Other records
Into a new AI-first website with a new CMS
- Research, articles and translations
- Interviews, books and journals
- Activities and author pages
- Archive search
The starting problem
The legacy publishing site contained fragmented databases and mixed media: articles, books, videos, lectures and other records. The owner reports that a historical backup had taken two months and the client could not readily repeat that process.
Delivered scope
The owner confirms a full database migration into a new AI-first website with a new CMS. The public destination contains research, articles, translations, interviews, books, journals, activities, author pages and archive search.
Why the work matters
This is an integration and data-migration challenge as much as a website rebuild: mixed content types must be reorganised and made publishable through a coherent editorial system. The public site demonstrates archive breadth, not the private implementation details.
Evidence boundary
The precise database and CMS stack, record counts, reconciliation process, backup improvements, redirects and specific AI functions have not yet been established. The historical two-month backup is not the duration of the migration, and zero data loss is not claimed.
Evidence and status
DeliveredOwner-confirmed delivery; backend implementation details unverified
Owner-confirmed delivered work.
Source: www.mominoun.com/