This article explores how to build an AI-powered product, “Twitter MBTI Receipt,” using Dify and Windsurf to analyze Twitter profiles and generate MBTI personality reports.

We’re launching the file upload feature today, with a demo on using it in an AI podcast application.

We’ve enhanced Workflow with parallel processing capabilities in Dify v0.8.0. It can now run multiple branches simultaneously, enabling the parallel execution of various tasks. This new model significantly improves execution efficiency, helping LLM applications handle complex tasks more quickly and flexibly.

Dify v0.7.0 tackles LLM memory limitations with Conversation Variables and Variable Assigner nodes. These features give Chatflow-built apps precise memory control, boosting LLMs' ability to handle complex scenarios in production.