La chaîne cachée derrière ChatGPT, n8n et les automatisations (#070)

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