We want to hire a person who can build this type of automation for us. This is just an example of what we need.
I also already have an example of basic UGC picture automation, so it could be something similar to that, just improved and more advanced.
We are looking to build an n8n automation for social media content creation and publishing.
The system should generate UGC-style videos based on our products, campaigns, or offers. It should also generate product and lifestyle pictures using Nano Banana.
Additionally, it must generate video scripts, captions, hooks, titles, and other social media texts while strictly maintaining our brand identity, tone of voice, and messaging style.
After all content is generated, it should be sent for approval to Telegram, Slack, or Discord. The approval message must include a Google Drive link where all generated files are stored and clearly organized by date (daily folders). The message should allow us to review all videos, images, and text content before publishing.
Once approved, the system should automatically upload and publish the content to TikTok, YouTube, Facebook, and Instagram according to predefined scheduled hours.
Hi — this is very doable in n8n and actually fits well into a structured pipeline rather than one big workflow.
What you’re describing is basically a daily content factory: generate → organize → review → approve → publish, with brand consistency enforced at each step.
I’ve built similar systems where AI produces media + copy, stores everything in dated folders, sends a review packet to chat apps, and only publishes after approval. The key parts are:
keeping tone consistent (using stored brand context, not just prompts)
clean file organization in Drive
human approval that controls the entire pipeline
scheduled multi-platform publishing without duplicates
For your case I’d structure it roughly as:
content generation (UGC video + images + copy) → store in Drive daily folder → send preview to Telegram/Slack/Discord → wait for approval → queue → publish to TikTok/YouTube/FB/IG at set times.
If you want, show me your current UGC automation example and I’ll map exactly what needs to change to make it production-ready and scalable.
I was trying to directly message you here but it seems like public profiles are hidden here. Not sure if the forum even has a private messaging feature… how about we connect via Telegram or Discord?
Apart from that I’m also a full-stack developer with the right Gen AI experience, which makes me a solid plus for your team[but right now only vibecoding]
Check my recent gen ai projects… I built a native Android automation agent too. It’s worth a look:
I can build complex AI automations directly in code, not just inside n8n
This is definitely achievable — the key is building it as a structured content engine rather than a single large workflow.
From what you described, the system would look like this:
• Generate UGC-style videos based on product or campaign inputs
• Create product and lifestyle visuals (Nano Banana integration)
• Generate scripts, hooks, captions, and titles while enforcing brand tone
• Organize everything automatically into dated Google Drive folders
• Send a structured approval message to Telegram / Slack / Discord with all file links
• Publish only after approval
• Automatically schedule uploads to TikTok, YouTube, Instagram, and Facebook
The most important part isn’t generation — it’s maintaining brand consistency, preventing duplicate posting, and handling failed uploads cleanly across platforms.
If you already have a basic UGC automation, I can review it and help upgrade it into a scalable, production-ready system.
Before giving a proper proposal, I’d like to understand:
• Expected daily or weekly content volume
• Whether videos are fully AI-generated or template-based
• Access to social platform APIs
• How detailed your brand guidelines are
This proposal outlines the development of a custom n8n workflow designed to automate your end-to-end social media production—from AI generation to multi-platform publishing.
​Project Overview
​We will build a centralized “Content Engine” using n8n that handles the heavy lifting of creative production. Building on your existing UGC picture automation, this system will scale your output by integrating advanced video generation and multi-channel distribution.
​Key Features
​Multimodal AI Generation: * Videos: Automated creation of UGC-style video content based on your specific product data and active campaigns.
​Visuals: High-end product and lifestyle imagery generated via Nano Banana to ensure a premium aesthetic.
​Brand-Centric Copywriting: * An AI logic layer will generate high-converting hooks, scripts, captions, and titles.
​Crucial: We will “train” the prompt engineering to strictly adhere to your specific brand identity and tone of voice.
​Centralized Storage & Organization: * Every asset created will be automatically uploaded to Google Drive, neatly organized into date-stamped daily folders for easy tracking.
​The “Human-in-the-Loop” Approval System: * Before anything goes live, the system will send a notification to your preferred channel (Telegram, Slack, or Discord).
​This alert will include a direct link to the Google Drive folder for review.
​Automated Distribution: * Upon your approval, the system triggers the final leg of the workflow: scheduling and publishing the content across TikTok, YouTube, Facebook, and Instagram at your optimal posting times.
​Why This Works
​This setup removes the manual friction of switching between creative tools and social managers. It allows your team to move from “creators” to “editors,” simply reviewing and approving high-quality, brand-accurate content that is ready to ship.
​Would you like me to draft a list of the specific API credentials and access permissions we’ll need to get started on this workflow?
I got you, I have been building all forms of automations for the past 2 years and have built 100s of flows for my clients. Have worked with all sorts of companies and gotten them 10s of thousands in revenue or savings by strategic flows. When you decide to work with me, not only will I build this flow out, but also give you a free consultation like I have for all my clients that led to these revenue jumps.
I have built a similar workflow like this for one of my clients. I can not only share that but also how you can streamline processes in your company for faster operations. All this with no strings attached on our first call.
Here, have a look at my website and you can book a call with me there!
Hey, I have experience building hundreds of workflows on n8n, including several content generation and social media publishing pipelines with OpenAI, image generation APIs and multi-platform integrations.
This is pretty straightforward - trigger the workflow on a schedule or manually, pull product/campaign details, generate UGC-style video scripts, captions, hooks and titles with GPT while enforcing your brand tone via system prompt, generate images through Nano Banana, assemble all assets into a dated Google Drive folder, and send an approval message to Telegram, Slack or Discord with the Drive link. Once approved, the workflow pushes content to TikTok, YouTube, Facebook and Instagram according to your predefined publishing schedule. I’ve built similar content automation pipelines with comparable stacks before.
I can have a working version of this ready quickly with clean, scalable structure that’s easy to extend as your content needs grow. Happy to walk you through the setup so your team can manage it independently. I feel I’m a perfect fit for this.
Hey @Anatol_Kupin — I can build exactly what you’re describing, and I’ve already done it for multiple clients.
The full pipeline I’d build for this:
Content Generation Layer: AI-driven creative brief → Stable Diffusion / ComfyUI integration via n8n for product + lifestyle images, plus video generation (Kling/Seedance API calls) for UGC-style clips. Brand voice and visual style enforced via a master prompt template stored in your DB.
Content Factory Loop: Daily trigger → generate X variants per product → organize into dated folders (Google Drive or S3) → build a review packet (images + copy + video preview) → push to Telegram or Slack for your approval step → auto-publish to your platforms after thumbs-up.
Publishing Layer: Native scheduling via upload-post API (handles Instagram, TikTok, YouTube Shorts, etc.) with platform-optimized captions generated per channel.
I’ve built similar UGC content pipelines for e-commerce clients — the key is getting the brand style locked in early so AI output is consistent, not generic.
Happy to share examples of what the output looks like in practice. You can reach me at [email protected] if DMs aren’t working on the forum.
I also replied to your SEO blog post automation thread — and I can handle both projects as a unified content system if that interests you. But this UGC pipeline is great as a standalone too.
Here’s how I’d build this:
Content Generation Layer:
UGC-style videos: Integrate with AI video generation APIs (Kling, Runway, HeyGen) triggered by product/campaign briefs. Script generation via Claude/GPT-4 with your brand voice locked in through a master prompt template
Product & lifestyle images: Nano Banana integration for on-brand product shots + lifestyle imagery. Multiple variants per product for A/B testing
Copy generation: Hooks, captions, titles, and hashtags generated per platform (TikTok tone vs LinkedIn tone vs Instagram tone) — all enforced by your brand style guide stored as system context
Organization & Approval:
All assets auto-organized into dated Google Drive folders (e.g., /2026-02-27/product-name/)
Telegram/Slack/Discord approval message with: preview thumbnails, all copy variants, Google Drive link, and one-tap Approve/Reject buttons
Rejection triggers a revision loop with feedback context passed back to the AI
Multi-Platform Publishing:
On approval: auto-schedule and publish to TikTok, YouTube Shorts, Facebook, and Instagram via their respective APIs
Predefined publishing schedule with timezone-aware posting at optimal engagement hours
What sets my approach apart:
Brand consistency isn’t just a prompt — I’d build a brand context database (tone examples, approved vocabulary, visual style references) that feeds every generation call
Built-in content calendar view so you can see what’s queued across all platforms
Analytics feedback loop — track which content performs, feed insights back into generation prompts
About me: Priyanshu Kumar, founder of Evara AI (IIT Bhubaneswar incubated). I build custom AI automation systems. Happy to look at your existing UGC automation example and propose specific improvements.
I’m Nazim, a junior full-stack developer with a year of freelance experience building web apps and automation tools (React, Node.js, Python). I’ve shipped real projects for real clients and I’m comfortable working async and remotely.
I’m looking for Hiring person who can help with UGC content n8n opportunities where I can contribute immediately and keep growing. I’m reliable, communicate proactively, and available to start right away.
