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Hébergement VPS n8n | Automatisation sécurisée et évolutive

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Formation n8n en Français : Automatisation & Agents IA

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👉 Blotato

Blotato

👉 AtlasCloud

AtlasCloud


Introduction

This course lets you rebuild the workflow from scratch, node by node, live. Everything you need to copy-paste (prompts, expressions, JSON bodies, URLs) is in code blocks below.

What it does: a Telegram bot receives a product photo, OpenAI Vision analyzes it, an AI agent writes a cinematic text-to-video prompt + a YouTube title & description, AtlasCloud Seedance 2.0 generates a vertical 9:16 video, and after two human approvals on Telegram, Blotato publishes it to YouTube as an AI-flagged Short.

Honesty note: the AI proposes, you check the quality before letting it run. Two approval gates keep you in control.

Flow schema

Telegram Trigger (photo)
  -> Configuration (Set)
  -> Download product photo (Telegram file:get, binary)
  -> Analyze product photo (OpenAI Vision)
  -> Generate video ad prompt (AI Agent + Model + Output Parser)
  -> Review video prompt on Telegram (sendAndWait, double approval)
  -> Prompt approved? (IF)
       false -> Notify prompt declined (end)
       true  -> Notify generating video
              -> Generate video (AtlasCloud, HTTP POST)
              -> Wait for render
              -> Check video status (AtlasCloud, HTTP GET)
              -> Video ready? (IF)
                   false -> Wait for render (loop)
                   true  -> Send video preview on Telegram
                         -> Review video on Telegram (sendAndWait)
                         -> Video approved? (IF)
                              false -> Notify video declined (end)
                              true  -> Publish to YouTube (Blotato)
                                    -> Notify published (end)

Prerequisites & credentials