Case study
Turning a Static Index into a Maintainable AI-Assisted Publishing Workflow
A publishing system that keeps notes, sources, and draft output aligned without forcing a CMS.
- Cliente
- Independent product build
- Ruolo
- Information architecture, frontend engineering, workflow design
- Durata
- 3 weeks
- Pubblicato
- 2026-05-01
Contesto
Da dove e partito il lavoro
The content surface started as a flat list of notes and references that was hard to search, update, and reuse.
Problema
Cosa doveva cambiare
Publishing required too much manual assembly, so writing and reference material drifted apart.
Vincoli
Cosa ha formato la soluzione
- Keep the setup local-first
- Avoid a CMS before the editorial model stabilizes
- Make AI output reviewable before publishing
Processo
Come l'ho attraversato
- Mapped content primitives and writing states.
- Defined a narrow schema for topics, sources, and draft status.
- Added AI-assisted drafting with review points.
- Kept output compatible with local MDX files.
Soluzione
Cosa e stato pubblicato
Built a structured index and publishing workflow with clean content boundaries, making edits predictable and reviewable.
Risultato / Impatto
Cosa e cambiato
Writing and reference material could move through one simple surface instead of being split across ad-hoc files.
Less time reshaping content; more time refining the actual ideas.
Riflessione
Cosa ho imparato
- Small schemas stay editable longer than broad CMS models.
- Workflow clarity matters more than fancy automation.
Progetto correlato
Kizuna Index
A living index that turns scattered references into a maintainable publishing surface.
Vedi progettoServizi coinvolti