#no-code AI workflow
209 related articles
·3 min
Local Gemma 3 12B as an AI Agent: A Practical Guide to Tool Calling and Framework Selection
Running Gemma 3 12B locally via Ollama and want to build an AI Agent? This guide covers tool calling, n8n/LangChain/CrewAI comparisons, context limits, and more.
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·3 min
AI Agent Beginner's Guide: LLMs vs. Agents, and a Full Breakdown of Development Tools
What is an AI Agent? This guide explains the key differences between LLMs and Agents, breaks down the Agent formula (LLM + Workflow + Knowledge Base), and compares tools like Dify, Coze, LangChain, and LlamaIndex.
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·3 min
Skill Pack-Driven AI Agents: An Efficient Alternative to Complex Workflows
Ditch complex workflow nodes. Use Agent Skill packs to dynamically load AI capabilities, build stable intelligent automation, and understand RAG, LLM limits, and Scale Agent plugin setup.
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·3 min
Getting Started with AI Agent Development: A Three-Step Practical Path with Python + LangChain
Learning AI Agent development is no longer daunting! This article outlines the simplest practical path: master just enough Python, grasp core LLM concepts, then build your first Agent with LangChain.
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·4 min
The Complete AI Agent Development Learning Path: From Zero to Enterprise-Grade Practice
A systematic AI Agent development learning path covering fundamentals, prompt engineering, tool calling, multi-agent collaboration, and hands-on practice with LangChain, CrewAI, and Dify.
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·3 min
AI Agent Builder: A Complete Hands-On Guide from Zero to Enterprise-Grade Delivery
AI Agents are becoming the core form for deploying large models. This article explores the AI Agent Builder profession, revealing the SME deployment gap and a complete path from fundamentals to delivery.
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·3 min
Building a Claude Code Skill from Scratch: Let AI Auto-Generate Daily News Reports
A detailed guide on building a custom Claude Code Skill to auto-fetch, filter, and generate daily AI news reports—covering execution logic, task decomposition, HTML visualization, and source tracing.
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·2 min
The Real Bottleneck for AI Adoption: Context Engineering, Not Model Capability
How you use AI determines whether it's just a gimmick. This article breaks down three real business scenarios showing how context engineering turns Claude from a hallucinating toy into an operations partner saving 5-10 hours a week.
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·3 min
Getting Started with n8n: A Deep Dive into the Open-Source AI Workflow Automation Platform
A comprehensive look at n8n, the open-source workflow automation platform: core features, 500+ node ecosystem, AI Agent and RAG integration, plus a fast learning path.
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·4 min
Getting Started with Coze: Build AI Agents from Scratch
Coze is ByteDance's low-code AI Bot platform for building AI agents without coding. Learn the differences between the domestic and international versions, core feature comparisons, and monetization potential.
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·3 min
The Complete AI Agent Development Workflow: A Seven-Step Guide from Requirements Analysis to Deployment
Want to build an AI Agent but don't know where to start? This guide covers the complete seven-step workflow—from requirements analysis, platform selection, prompt engineering, data storage, and UI building to testing and deployment.
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·4 min
Complete Guide to Dify Local Deployment: Build a Private AI Workflow Platform from Scratch
Step-by-step guide to deploying Dify locally: Docker setup, Docker Compose installation, source code configuration, .env file setup, and container startup for Windows, macOS, and Linux.
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·6 min
Getting Started with Coze Agents: Core Concepts, Platform Positioning, and a Practical Implementation Guide
A systematic guide to Coze's core positioning, its differences from Dify/n8n, and its full capability system covering agents, workflows, and multi-agent modes—helping beginners get started fast.
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·6 min
Dify Local Deployment in Practice: A Complete Guide to Building an AI Application Platform with Docker
A complete guide to Dify local deployment: from Docker environment setup, source code pulling, and container startup to first access. Build a private AI app development platform across Linux, Windows, and Mac for fast enterprise AI deployment.
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·4 min
Hackathons Are Back: The Value and Lessons of Community-Driven AI Innovation
Behind every hackathon lies a deeper story about AI innovation ecosystems. This article examines why hackathons are surging in the generative AI era, their core value, and key lessons for AI developers and founders.
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·7 min
Dify 1.8.0 in Practice: A Complete Guide to Building Enterprise-Grade AI Workflows with Zero Code
An in-depth walkthrough of deploying Dify 1.8.0 and building applications: three-step Docker deployment, five app types compared, and Workflow vs Chatflow use cases—build enterprise AI apps with zero code.
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·7 min
Getting Started with Dify: A Complete Guide from Local Deployment to Building Enterprise-Grade AI Applications
A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.
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·6 min
Getting Started with Dify: A Complete Guide to Deployment, Configuration, and Workflow Practice
A systematic guide to Dify's three deployment methods (Docker/source/online), five application types, and hands-on workflow nodes—covering LLM integration, MySQL config, and app publishing.
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·4 min
From Claude Code to Claude Tag: How AI Programming Tools Break Out of Engineering Teams
Anthropic's Boris Cherny and Cat Wu discuss how Claude Code expanded from engineering teams company-wide, the Claude Tag platform strategy, and the launch of Claude Fable 5.
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·7 min
A Complete Guide to LangGraph's Core Concepts: The Framework of Choice for Enterprise Agent Development
An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.
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