AI Content Pipeline
OVERVIEW
An end-to-end content pipeline that takes articles from draft to published with AI assistance at every stage. Content is authored in Notion, scored for quality and audience fit, enhanced with SEO metadata, and published to a Next.js site via Incremental Static Regeneration with no manual deployment needed.
ARCHITECTURE
The pipeline is organized around Notion as the authoring source, an API adapter that normalizes content blocks, and a Next.js publishing layer running on Vercel ISR. AI scoring and metadata generation services plug into the publish workflow before final page revalidation.
FUNCTIONALITY
- AI-powered quality scoring that evaluates clarity, depth, and audience fit
- Automatic SEO metadata generation including titles, descriptions, and OG images
- Audience calibration that adjusts tone and complexity per target segment
- Notion as CMS with real-time sync to the published site via ISR
- Draft -> Review -> Published workflow with automated stage transitions
- Analytics feedback loop that informs future content scoring criteria
HOW IT WORKS
A Notion property change event starts the pipeline. The content adapter maps blocks into renderable structures, then AI jobs score quality, calibrate tone, and generate SEO fields. Once checks pass, the publish step writes output metadata and triggers ISR revalidation so the updated article goes live immediately.
OUTCOMES
- Cuts manual publishing overhead by automating the full draft-to-live path.
- Improves consistency with rubric-based quality scoring and audience calibration.
- Ships SEO-ready content by default through automatic metadata generation.