118 tested guides on AI agents, n8n, RAG, and automation — newest first.
Finished the n8n AI tutorial and wondering what to actually build? These 8 n8n AI automation ideas come with the exact nodes, the honest Chain-vs-Agent call, and the right Claude model for each job.
Your single n8n AI Agent has 10+ tools and keeps picking the wrong one. n8n multi-agent orchestration fixes this: one coordinator routes each job to a small, specialized sub-agent on the right model.
Build an n8n AI document extraction agent that reads invoices, receipts, and emails, then writes clean structured data to a sheet. Uses Claude and the Information Extractor node. Costs $1.55 per 1,000 documents on Haiku 4.5.
Your n8n agent forgets every message because the model is stateless. Add Postgres Chat Memory, set a per-user Session Key, and tune Context Window Length to keep conversations coherent without blowing your token budget.
Your n8n AI step returns a paragraph when the next node needs clean fields. The Structured Output Parser sub-node fixes this by constraining the model to a JSON schema you define, for roughly 30 cents per 1,000 calls on Claude Haiku 4.5.
Build an n8n vector store that retrieves your own documents by meaning, not keywords. Embedding 1,000 docs costs ~1.3 cents; Supabase free-tier storage costs $0. Full node wiring and step-by-step setup inside.
Your n8n AI Agent answers from stale training data until you attach real tools. This guide shows you exactly how to wire HTTP Request, Calculator, and Workflow tools so your agent acts on live data.
The n8n AI Text Classifier node reads each inbound message, picks the right category, and branches your workflow automatically. Costs $0.65 per 1,000 emails on Claude Haiku 4.5. Here is exactly how to build it.
An n8n AI lead generation agent triages every inbound lead the moment it lands: scoring intent, drafting a personalized reply, and pinging you on the hot ones. Real cost: about $5/month for 100 leads on Claude Sonnet 4.6.
Build an n8n AI customer support bot that answers repeat questions from your own docs using RAG. Two workflows, about $4.50 per 1,000 answers on Claude Haiku 4.5, and $0 platform cost if you self-host.
I built the exact same order-status AI agent in n8n, Make.com, and LangChain, then compared setup effort, cost model, portability, and who each platform actually suits.
There is a 25x cost spread between the cheapest and priciest LLM tier for the exact same n8n AI Agent workflow. This post prices all three providers across 11 model tiers so you can pick the right Chat Model sub-node and stop overpaying.
