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

⚡ 3 views · 🎬 Content Creation & Video

💡 Pro Tip — Twitter’s API is paid now, which makes simple data pulls expensive. ScraperNode is a community node that scrapes Twitter profiles and posts without needing API access.

Description

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

🔗 Nodes Used

Send Email, HTTP Request, Webhook, Notion, Schedule Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup