The Hidden Chain Behind ChatGPT, n8n, and Automation (
Text files, Markdown, CSV, JSON, APIs, automation, AI, prompts, context... Taken separately, all these concepts can seem technical and disconnected. But once connected, they reveal the invisible architecture of modern tools.
In this video, we summarize the foundations laid so far. The goal isn't to go over each concept in detail, but to understand how everything fits together in a real system: information is created, structured, transmitted, transformed, orchestrated by workflows, and then used by artificial intelligence thanks to a clear request and the right context.
This video is part of the playlist: • Automatiser avec l’IA : les bases à compre...
You will learn:
why modern digital technology primarily manipulates information
how text and Markdown files structure content
why CSV organizes tables and JSON organizes complex structures
how APIs circulate data between tools
why automation orchestrates actions, rules, and results
where AI fits into a modern workflow
why prompt engineering clarifies the request
why context engineering provides AI with the raw material to work effectively
how a form can trigger a complete chain: data, API, workflow, context, AI, email
why these foundations prepare the way for what's next: n8n, AI workflows, code assistants, and skills
Subscribe to Catalyseur Dev to learn how to understand, structure, and automate with AI, code, Modern APIs and Tools, Step by Step
In the comments, tell me: which building block do you think is the most important to master for building robust AI automations: files, data formats, APIs, workflows, prompts, or context?
00:00 Introduction - Connecting All the Building Blocks
00:49 The Information Processing Chain
01:24 Text and Markdown: Structuring Content
02:20 CSV and JSON: Structuring Data
03:14 APIs: Circulating Information
03:48 Automation: Orchestrating the Process
04:21 AI, Prompts, and Context
06:13 Complete Example: Form, Workflow, AI, and Email
07:11 Why These Foundations Prepare for What's Next
08:12 Conclusion - Moving from Isolated Tools to Systems