AI-Powered Japanese Twitter posts with GPT-4, quality control, and Notion Generation

Workflow overview

Why this workflow matters

Relevant for managed services and support workflows. Supports knowledge capture and document intelligence use cases.

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: Schedule trigger runs weekday mornings at 9 AM Fetches Japanese cultural context (seasons, holidays, business events) Analyzes brand voice from past 30 days of posts Generates 3 Twitter post variations with GPT-4 Each post is scored on quality metrics (100-point scale) Low-scoring content enters auto-improvement loop Risk analysis checks for controversy, cultural sensitivity, and sentiment 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: Create a Notion database with columns: Content, Hashtags, Quality Score, Risk Level, Status, Engagement Configure OpenAI API credentials with HTTP Header Auth Set up Twitter OAuth 2.0 credentials 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

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