AI skills
ARTICLE05/17/2026

Build Your First RAG Agent with n8n and Supabase: A No-Code Beginner Tutorial

A complete beginner-friendly tutorial for building a no-code RAG agent with n8n, Supabase, OpenAI embeddings, vector search, and chat memory. Learn the full pipeline from document ingestion to retrieval, response generation, testing, logging, and operational hardening.

ARTICLE05/17/2026

LangGraph for Beginners: Build Stateful AI Workflows and a Research Assistant

Learn when LangChain is enough, when LangGraph becomes necessary, and how to design a stateful research assistant with nodes, edges, loops, routing, tools, and memory. This tutorial walks from core concepts to an operational build checklist.

ARTICLE05/17/2026

Build a Daily Briefing AI Agent in n8n: OpenAI, Memory, Gmail, Google Sheets, and Duplicate Control

A practical step-by-step tutorial for building an autonomous AI agent in n8n that gathers weather, news, and interesting facts, formats the result into an email briefing, logs outputs to Google Sheets, and avoids repeating the same content.

ARTICLE05/17/2026

MCP From Zero: Build Your First Model Context Protocol Server and Client

A practical, publish-ready tutorial that explains why MCP matters, how its architecture works, how to use an existing server, and how to build a simple Python MCP server and client with resources, tools, prompts, transport choices, and operational safeguards.

ARTICLE05/17/2026

AI Agents in 2026: A Practical Guide to Choosing, Setting Up, and Directing Real AI Agents

A standalone, practical tutorial on what makes an AI agent different from a chatbot, how the observe-think-act loop works, how to set up four representative agent platforms, how to write prompt contracts that reduce drift, and how to use memory files so the agent improves across sessions.

ARTICLE05/17/2026

Claude Code From First Run to Automated Deployment: A Practical Beginner-to-Advanced Tutorial

Learn how to use Claude Code as a practical build system rather than a chatbot: choose the right model, control planning depth, write stronger prompts, manage project context with CLAUDE.md, connect external tools through MCP, and ship a live app with repeatable workflows, hooks, skills, and routines.