AI Native Flow Case Study #19 – dify – SEO Slug Generator

Want perfect blog post URLs? I needed a simple, reliable way to create clean and SEO-friendly slugs for my titles. So, I tested this workflow, and here’s what I found.

🔑 AccessLevel
Free

🔗 Source
https://github.com/svcvit/Awesome-Dify-Workflow/blob/main/DSL/SEO Slug Generator.yml

🛠️ Testing Environment
Dify Cloud

🧠 LLMs Used
gpt-4o

🤖 ModelType
Text-Only;

✅ IsFunctional
Yes

🚀 Performance Rating
Decent

🌟 Expected Behaviour
Generate a Clean and SEO-Friendly URL Slug for Your Blog Post Based on the Input Title

📝 Actual Behaviour
After testing with title “Building a High-Quality Translation Workflow with Dify: Inspired by Andrew Ng’s Walk and Translate Approach”, the slug high-quality-translation-workflow-dify-andrew-ng is concise, SEO-friendly, and effectively captures key aspects of the title. However, removing “Andrew Ng” could make it more focused, such as high-quality-translation-workflow-dify.

📊 Evaluation
AI Native: (7/10) The workflow leverages AI to automate slug generation but could further improve efficiency and personalization to fully align with AI Native principles.

🔍 Workflow Breakdown
1️⃣ Input Text for Slug Generation
• Provide the text or title for which you want to create a slug.
2️⃣ Optimize and Generate Slug with GPT
• Use GPT to refine the input and generate a concise, SEO-friendly slug tailored to the text.

Statement: Evaluation results are generated by AI, lack of data support, reference learning only.

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