116 related articles

90% of AI agents fail not because of technology, but due to missing business systems. Learn the 3 essentials for reliable AI agents and how to build real workflows with Google Drive + N8N.

How can frontend engineers transition into AI development? This guide covers four agent development directions: RAG, workflow agents, vertical agents, and general-purpose agents — with framework picks like LangChain.js.

A complete guide to n8n AI video generation automation: LLM-structured prompts, batch reference images, async video polling, and Google Sheets cost tracking — triggered by a single Webhook.

Real-world insights on Claude Code vs. OpenCode, practical tool combinations, and security risks of full AI Agent automation — with strategies for safe, stable workflows.

Build AI agents without coding! This guide covers Coze's visual workflows, 60+ plugins, RAG knowledge bases, and persistent memory — plus version selection tips for beginners.

Most people use only 10% of WorkBuddy's potential. Learn how to build custom AI Skills in 3 steps using plain language — no coding required.

From Claude Chat to CoWork to Claude Code: a complete guide covering the three usage levels, Projects/Skills setup, MCP/CLI tool integration, and real automation workflows like fully automated knowledge video pipelines.

The Baidu AI Automation System uses departmentalized skill libraries and Agent-style orchestration to let managers trigger multi-skill workflows with one sentence—no tech background needed.

A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.

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.

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.

OpenAI's GPT-5.6 Soul, Terra & Luna are priced at one-third of Claude, leading Anthropic Fable on many benchmarks. We analyze its value, reasoning, and jailbreak risks.

A solo developer iterated an iOS app to 100,000 lines of code in 7 days and shipped it. This article breaks down the core methodology: delegate the frontend to AI, control the backend by hand.

Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.

What is an AI Agent? Starting from Bill Gates' claim about the computing revolution, this article explores AI Agents' intuitive concepts, four core components (LLM+Planning+Memory+Tools), and what Agent development means for programmers.

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.

An in-depth guide to Claude Skills: from built-in skills and plugins to building your own custom skills and continuous refinement. Learn to end repetitive instructions and build an automated, consistent AI workflow.

A complete walkthrough of building an AI auto-editing workflow in n8n: Merge node sync, Luxon date filtering, scheduled triggers, real bugs, and debugging tips for solo creators.

A detailed guide to deploying the Dify agent platform locally: from Docker setup and integrating Ollama + DeepSeek local LLMs to workflow orchestration and RAG knowledge base construction.

A head-to-head hands-on test of Sakana Fugu vs GLM 5.2 based on real Hermes agent workflows. Covering tool calling, frontend generation, and code improvement to reveal each model's true performance, speed, and value.