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.
- Client
- Independent product build
- Role
- Information architecture, frontend engineering, workflow design
- Duration
- 3 weeks
- Published
- 2026-05-01
Context
Where the work started
The content surface started as a flat list of notes and references that was hard to search, update, and reuse.
Problem
What needed to change
Publishing required too much manual assembly, so writing and reference material drifted apart.
Constraints
What shaped the solution
- Keep the setup local-first
- Avoid a CMS before the editorial model stabilizes
- Make AI output reviewable before publishing
Process
How I moved through it
- 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.
Solution
What shipped
Built a structured index and publishing workflow with clean content boundaries, making edits predictable and reviewable.
Result / Impact
What changed
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.
Reflection
What I learned
- Small schemas stay editable longer than broad CMS models.
- Workflow clarity matters more than fancy automation.
Related Project
Kizuna Index
A living index that turns scattered references into a maintainable publishing surface.
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