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Generate Japanese Twitter posts with GPT-4, quality control, and Notion

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Created by: yuta tokumitsu || yuta-tokumitsu

yuta tokumitsu

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Last update 7 hours ago

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AI-Powered Japanese Social Media Content Generator with Quality Control

🎯 Who's it for

Marketing teams and social media managers in Japan who want to automate content creation while maintaining high quality standards and cultural appropriateness. Perfect for businesses that need consistent Japanese-language social media presence with built-in compliance checks.

📝 What it does

This workflow creates an intelligent content generation system that:

  • Generates culturally-aware Japanese Twitter posts using GPT-4
  • Automatically scores content quality across 5 dimensions (engagement, SEO, brand voice, readability, CTA)
  • Performs sentiment analysis and risk detection for controversial topics
  • Routes content intelligently: auto-posts high-quality/low-risk content, flags medium-risk content for approval, and rejects high-risk content
  • Includes an auto-improvement loop that refines content up to 3 times if quality scores are below 70
  • Provides weekly performance analytics and recommendations

🔧 How it works

Daily Content Generation Flow:

  1. Schedule trigger runs weekday mornings at 9 AM
  2. Fetches Japanese cultural context (seasons, holidays, business events)
  3. Analyzes brand voice from past 30 days of posts
  4. Generates 3 Twitter post variations with GPT-4
  5. Each post is scored on quality metrics (100-point scale)
  6. Low-scoring content enters auto-improvement loop
  7. Risk analysis checks for controversy, cultural sensitivity, and sentiment
  8. Decision routing: auto-approve and post OR send for manual approval OR reject

Approval Workflow:

  • Pending posts trigger approval emails
  • Webhook receives approval/rejection/edit actions
  • Approved posts are published to Twitter and archived in Notion

Weekly Analytics:

  • Monday morning trigger analyzes past week's performance
  • GPT-4 generates insights report with best practices
  • Email sent to team with recommendations

⚙️ Requirements

APIs & Credentials:

  • OpenAI API (GPT-4 access)
  • Twitter API v2 with OAuth 2.0
  • Notion API (database for content storage)
  • Email sending service (SMTP or SendGrid)

Setup:

  1. Create a Notion database with columns: Content, Hashtags, Quality Score, Risk Level, Status, Engagement
  2. Configure OpenAI API credentials with HTTP Header Auth
  3. Set up Twitter OAuth 2.0 credentials
  4. Configure email service for approval notifications

🎨 How to customize

Adjust Quality Thresholds:

  • Modify the quality scoring criteria in "AI Quality Scoring" node
  • Change auto-approval threshold (currently 70+ points)

Content Generation:

  • Edit GPT-4 prompts in "Generate Content with GPT-4" node to match your brand tone
  • Adjust temperature settings for more/less creative content
  • Modify the number of posts generated per run

Risk Detection:

  • Customize risk factors in "Sentiment & Risk Analysis" node
  • Add industry-specific compliance checks

Brand Voice Learning:

  • Adjust the lookback period in "Get Past 30 Days Posts" (currently 30 days)
  • Modify brand voice analysis logic in "Analyze Brand Voice" node

Scheduling:

  • Change cron expressions for daily content generation and weekly reports
  • Add additional triggers for special campaigns

⚠️ Important Notes

  • This workflow uses Japanese language prompts - modify system prompts if using for other languages
  • Ensure compliance with Twitter's API rate limits and automation policies
  • Review auto-posted content regularly to validate AI quality assessments
  • The workflow stores all generated content in Notion for audit trails