In this video, I show you one of the ways I personally build AI agents without being locked into n8n. I start by breaking down how no-code platforms actually work: you drag-and-drop a UI, but under the hood it’s just configuration that becomes JSON, and that JSON is executed by a backend engine. Once you understand that, the “secret” is simple—export your n8n workflow JSON and convert it back into native code so you can run it anywhere. I take a real example: a basic agent that runs on a schedule, pulls stock/financial data using a SERP-style finance query, and generates an HTML report you can open in the browser. Then I move the workflow JSON into a workspace (I use Google “anti-gravity” here, but the idea works with Cursor too), ask the agent to analyze the flow, and generate a conversion plan. The output is a standalone Python implementation using an LLM + tools + prompt—same building blocks as n8n, just in code—with secrets stored in an .env file. Finally, I show how to stop running scripts manually by wrapping the agent with a FastAPI endpoint and a simple UI trigger. Now you can host the URL anywhere, trigger runs on-demand, and build toward an orchestrator UI for a whole “bot army” of agents.