build_AI_agents_with-n8n-4103420
This is a repository for the LinkedIn Learning course: Build AI Agents with n8n.
In this scenario-driven course, learn how to build an AI-powered pre-sales agent using n8n and a large language model (LLM) of your choice. Tobias Zwingmann—a managing partner at RAPYD.AI, an AI consulting firm—takes you through how to design a bot that starts small, having access to just a single tool. Then, take your agent to the next level, so it can not only recommend suitable products, but also calculate offers based on a custom pricing mechanic, create offer documents from internal templates, and even prepare emails that are ready to be sent out to prospects.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/linkedinlearning-buildaiagentswith-n8n-4103420 — read its card at https://meshkore.com/agent/linkedinlearning-buildaiagentswith-n8n-4103420/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/linkedinlearning-buildaiagentswith-n8n-4103420For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/linkedinlearning-buildaiagentswith-n8n-4103420/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own build_AI_agents_with-n8n-4103420?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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