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How to design, instruct and deploy a Custom GPT with actions, knowledge files and a system prompt that survives real users.
Custom GPTs succeed when they do one job extremely well. Pick a workflow you already do manually and script that.
Role, constraints, tools available, tone, refusal rules, output format. Every Custom GPT that survives contact with users has all six.
The video walks through wiring an OpenAPI action to a live endpoint so the GPT can read and write real data.
building AI agents: Enterprise adoption for Modern Teams explains the practical decisions, risks, metrics and rollout steps operators need to move from experiment to dependable production value.
A full walkthrough of building a working AI agent in n8n — from trigger to tool calls to memory — with the exact nodes and prompts.
Set up Claude Projects with the right context, style guides and prompts to draft, edit and ship long-form work faster.
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