#Dify workflow
7 related articles
·3 min
Building an AI Stock Analysis System with Qwen3 + Dify: A Hands-On Tutorial
A hands-on guide to building a real-time AI stock analysis system using Dify workflows and Qwen3. Covers deployment, technical indicators (RSI/MACD/Bollinger Bands), and trading strategy generation.
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·3 min
Agent Skills: Folders as Skills — Making AI Produce Precise, Template-Based Output
Agent Skills splits AI capabilities into independent skill folders with on-demand loading and progressive disclosure, cutting token costs by 80% and reducing hallucinations for template-based output.
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·4 min
MCP Protocol Explained: Architecture Principles and Hands-On Configuration Guide
Deep dive into MCP (Model Context Protocol): core concepts, four-layer architecture, and hands-on configuration. Learn how MCP transforms AI from a suggestion generator into a true executor.
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Tutorials·2 min
Building a Local Knowledge Graph RAG System with Dify + Neo4j: A Hands-On Guide
A hands-on guide to building a local knowledge graph RAG system using Dify, Neo4j, and Docker for multi-hop reasoning and secure local deployment.
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Tutorials·3 min
GenSpark's Six AI Agents in Action: A Complete Guide for Building a One-Person Company
A practical guide to GenSpark's six AI Agents: AI Developer for websites, AI Designer for visuals, AI Sheets for data, AI Slides for presentations, Workflow automation, and Claw mobile manager.
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Tutorials
Orchestrating AI Agents as State Machi…
·2 min
Orchestrating AI Agents as State Machines: Stop Being a Human Confirmation Button
Explore the next evolution of AI coding: applying CI/CD engineering practices to orchestrate Agents as state machines with YAML templates, Gates, and Dashboards for autonomous multi-Agent progression.
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