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
Trigger: New document submitted
Convert to working format
Run technical review
Process readability
Simulate reader response
Generate final recommendations
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
📈 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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