Automated Content Review

Manual editing is time-consuming and often inconsistent. This automation runs content through multiple AI reviewers, each focusing on different aspects of quality, then synthesizes their feedback into actionable improvements.

🎯 Objective

Create an automated system that processes draft content through multiple specialized AI reviewers, checking for style, clarity, reader engagement, and technical accuracy while maintaining your organization's voice.

⚙️ The Basic Workflow

1. Draft Ingestion (Make.com)

  • Monitor shared Google Docs

  • Watch email attachments

  • Process uploaded files

  • Track CMS draft submissions

  • Handle Word documents

2. Multi-Stage Review

Stage 1: Technical Review

  • Grammar and spelling

  • Style guide compliance

  • Technical accuracy

  • Formatting consistency

Stage 2: Readability Analysis

  • Reading level check

  • Sentence complexity

  • Paragraph structure

  • Transition quality

Stage 3: Reader Simulation

  • Target audience perspective

  • Clarity of message

  • Engagement factors

  • Question identification

Stage 4: Final Polish

  • Voice consistency

  • Flow improvements

  • Call-to-action strength

  • Overall impact

3. Feedback Synthesis

  • Combine reviewer insights

  • Prioritize changes

  • Highlight conflicts

  • Suggest improvements

4. Document Return

  • Create annotated version

  • Add revision suggestions

  • Provide summary report

  • Flag items for human review

🛠️ Tools Needed

  • Make.com (workflow automation)

  • Multiple AI instances (different roles)

  • Document handling system

  • Style guide database

  • Notification system

📝 Sample Make.com Workflow

  1. Trigger: New document submitted

  2. Convert to working format

  3. Run technical review

  4. Process readability

  5. Simulate reader response

  6. Generate final recommendations

  7. Return annotated document

🚀 Customization Options

  • Add specialized reviewers

  • Customize style guidelines

  • Modify audience personas

  • Adjust review depth

  • Create topic-specific checks

⚠️ Keep in Mind

  • Maintain human oversight

  • Regular style guide updates

  • Calibrate AI reviewers

  • Monitor consistency

  • Balance automation with judgment

🔍 Example AI Prompts

CopyTechnical Review:
Review this content for:
1. Style guide compliance
2. Technical accuracy
3. Formatting consistency
4. Citation format
Provide specific corrections and explanations.

Reader Simulation:
You are [target persona]. Reading this content:
1. What questions do you have?
2. Which parts are unclear?
3. What's most/least compelling?
4. What would make you take action?
Provide feedback as this specific reader would.

📈 Measuring Success

Track:

  • Processing time reduction

  • Consistency improvements

  • Error catch rate

  • User satisfaction

  • Final content quality

Start with one type of content and a basic review process. Add stages and complexity as you validate the workflow's effectiveness.

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