Karpathy on AI agents: why it takes a decade, not a year
Andrej Karpathy explains why AI agents are not ready for real work, what is actually missing, and what that means for SMEs.
Building n8n workflows with Claude and MCP: three tiers at a glance
How to build n8n workflows and AI agents with Claude and MCP servers: three tiers, from copy-paste to fully automated import.
Model Context Protocol (MCP) explained simply, with an n8n example
What is the Model Context Protocol, and how does it simplify AI agents? The concept, a worked n8n and Airbnb example, and the security caveats.
Agentic RAG in n8n: why classic RAG often fails, and how to do it better
Classic RAG often misses context and table data. How an agentic RAG setup in n8n searches knowledge bases more reliably, explained from practice.
n8n for beginners: five practical automations for SMEs
How SMEs map recurring work onto the n8n automation platform: from lead capture through AI agents to a RAG knowledge system. A sober overview.
AI agents: where to sensibly start, without the hype
What AI agents genuinely do, where companies already use them successfully, and how to start soberly rather than on hype, the key points at a glance.
RAG agent without code: combining n8n and Supabase for production
How to build a production-ready RAG agent with n8n and Supabase, no code: knowledge base, vector search and automatic document updates explained.