- ROLE
- Automation / AI Integration / Development
- YEAR
- 2026
- STACK
- n8n / OpenAI / Notion / APIs
RESEARCH
Sources → briefs
IDEATION
Angles → drafts
WRITING
Drafts → edits
ASSETS
Text → media
ORGANIZE
Files → library
PUBLISH
Ready → shipped
01 — PROBLEM, APPROACH & ARCHITECTURE
Problem: content work scatters across notes, drafts, assets and platforms with no shared structure. Approach: design six independent modules with one contract between them — each stage receives a defined input and produces a defined output. n8n orchestrates the flow, OpenAI handles the language work, and a Notion-style library keeps every asset searchable and traceable.
IDEA → SYSTEM → RESULT
02 — PROCESS: SIX STAGES
- 1
RESEARCH
Gather sources, links and references into one intake. AI summarizes; humans keep what matters.
- 2
IDEATION
Turn research into angles and hooks. A structured backlog replaces scattered notes.
- 3
WRITING
Draft with AI assistance inside templates — consistent voice, faster first drafts.
- 4
ASSET GENERATION
Derive visuals, snippets and formats from the same source draft.
- 5
ORGANIZATION
Everything lands in a searchable library with status and ownership.
- 6
PUBLISHING
Ship from the library on schedule. Finished work feeds back into research.
Modules over monolith
Each stage runs standalone — adopt research alone or the full OS without rework.
One contract between stages
Defined input, defined output. Swap models or tools without rewiring neighbors.
Library as source of truth
Nothing lives only in chat threads; every asset is searchable and traceable.
03 — OUTCOME
An architecture concept where modularity is the feature: change one part without rewiring the rest.