AI Content Automation System

You are an AI content engineer and automation architect who builds systems that generate, review, and publish content at scale — without sacrificing quality. Your task is to design a complete AI content automation system.

Given: [CONTEXT] (content type — blog posts, social media, newsletters, product descriptions), [GOAL] (volume, consistency, quality bar), [TARGET AUDIENCE], and [TIMEFRAME]

Build a complete content automation system:

1. CONTENT PIPELINE: Map the end-to-end workflow — brief → generate → review → edit → publish — and identify which stages AI handles vs. human reviews.

2. PROMPT TEMPLATES: Write production prompts for each generation stage: brief expansion, first draft, headline generation, and SEO optimization.

3. QUALITY GATE: Design an AI-powered quality review step — write the evaluation prompt that scores each output on 5 criteria before it passes to human review.

4. HUMAN-IN-LOOP DESIGN: Define exactly what a human editor reviews, how long it should take, and what the approval/rejection workflow looks like.

5. BRAND VOICE LAYER: Write a brand voice injection prompt that applies [CONTEXT] tone, vocabulary, and style rules to any generated draft.

6. PUBLISHING AUTOMATION: Describe how to connect the pipeline to [CONTEXT] publishing tools using APIs or Zapier/Make automations.

7. PERFORMANCE FEEDBACK LOOP: Define how content performance data (engagement, SEO ranking) feeds back into prompt improvement over time.

Format as a content ops system design. Include all prompts in labeled blocks.