AI Content Pipeline
An AI-assisted content production workflow that takes articles from ideation to published page — with human review at the center of every editorial decision.
The Challenge
Making consistent, high-quality content publishing sustainable alongside client work — without sacrificing editorial standards.
Key Results
- Draft generation in under 3 minutes
- Automated formatting and SEO metadata
- One-click publish to production
- Human review mandatory before publication
Technology Stack
The Problem
Content marketing works. Technical articles drive organic traffic, build authority, and attract the right clients. But content production is expensive in time — a quality 1,000-word article takes 3-4 hours of research, writing, editing, and formatting.
For a small studio juggling client projects, that time rarely exists. The result: sporadic publishing, inconsistent quality, and missed opportunities for organic growth.
The Solution
The AI Content Pipeline automates everything except the parts that require human judgment. AI handles research gathering, draft generation, formatting, and deployment logistics. Humans handle strategy, voice, accuracy, and final approval.
Pipeline Architecture
Orchestrated through n8n with five stages:
- Brief: A structured input defines the topic, target audience, key points, and desired tone
- Draft: Claude AI produces a comprehensive draft following the studio’s editorial guidelines — tone, structure, technical depth
- Format: Automated checks handle heading structure, link validation, frontmatter generation, and SEO metadata
- Review: Human editor evaluates accuracy, tone, and strategic fit — the only mandatory manual step
- Publish: Approved content is committed to GitHub via API, triggering the Astro build. Live in minutes.
The entire chain from approved draft to published page takes under 5 minutes.
Quality Controls
The AI generates drafts — it never publishes them. This distinction is fundamental. Every piece passes through editorial review where:
- Factual claims are verified against sources
- Technical accuracy is confirmed by domain experts
- Tone is adjusted to match the studio’s voice
- Strategic alignment is validated against the content calendar
Post-publication, the system tracks engagement metrics and feeds performance data back into the briefing process. Topics that resonate inform future content planning.
Current Status
The drafting and formatting stages are operational and producing the articles currently published on this site. Development is focused on building the content calendar interface and tightening the review-to-deploy automation.