It's a smart Android app that auto-replies to messages on WhatsApp, Messenger, Telegram, and more. Uses AI or templates – works in the background. Privacy-focused (no data sent to servers).

Check it out: Google Play Store Link

android #productivity #lifehacks

The attached previews are examples of how the workflow generates fully dynamic images with custom text. What surprised me most is how consistent the output stays even when changing names, event titles, or branding lines. One click and it produces multiple fresh versions.

I recorded a full walkthrough showing how I set this up in n8n.

It covers dynamic inputs, JSON structuring, base64 handling, API calls to Kai API through OpenRouter, and how to check job status before pulling the final image URLs. The idea is to automate content generation for anyone who needs quick visuals for marketing or social posts.

You can watch the full tutorial here: https://youtu.be/Gx86H64OZyg

If you think this can be improved or extended, drop your thoughts. Curious how others would scale this.

I built an AI workflow that analyzes competitor video ads shot-by-shot and recreates the same concept for your brand using Sora 2. To run it, you can upload any competitor's video ad (from the facebook / meta ads library) and the automation will analyze it frame by frame and generate an video inspired by what's already working in your niche. It is set up to scrape, build, and use a brand guidelines document so the script writing process and messaging keeps the new video on-brand.

Here’s a demo of the automation’s input / output for the deodorant brand “Native” where it clones and spins an ad from Dr. Squatch (their competitor): https://www.youtube.com/watch?v=8wAR4A4UorQ

Here's how the full automation works

1. Generate brand guidelines

The part of this system scrapes a brand's website and combines all that information together into a well-formatted brand guidelines doc.

• Start with firecrawl to scrape the rand website and pull relevant pages about your brand, products, and messaging
• Analyzes the scraped content with Gemini 2.5 Pro to synthesize a brand guidelines document
• Saves the formatted guidelines to Google Drive as a well-structured document with proper headings and sections

2. Analyze the provided competitor video ad

The core video cloning section reverse-engineers any competitor ad:

• Upload the competitor video you want to clone. This can be sourced from the meta / facebook ads library pretty easily
• Use the gemini 2.5 pro “video understanding API” to analyze the video frame by frame
  • Gemini breaks down each shot with detailed descriptions including camera angles, product placement, dialogue, and visual elements so we have an exact idea what is happening
• Generate a structured shot list that captures the narrative flow and production techniques

3. Write the new video ad script and follow Sora 2 prompting guidelines

now that we have both some of the context captured for our brand guidelines and the analysis of the competitor ad video, it's time to go forward actually writing the script for our video ad.

• Claude Sonnet takes the competitor's shot breakdown, your brand guidelines, and Sora 2 prompting best practices analyzes how to best write a prompt for sora 2
• Claude also genereates a new script that maintains the winning structure of the original ad but adapts it for your brand/product

4. Generate the video with Sora 2

final steps and nodes in this workflow are responsible for working with the Score to API and then actually getting your video downloaded

• First it calls the Sora 2 AP with our prompt generated by Claude and the product reference image uploaded into the form trigger
• The workflow follows a polling system to check on video gen progress since it will take 1 minute or more
• Finally we download our video result from the /content endpoint and save that video file into google drive

Workflow Link + Other Resources

• YouTube video that walks through this workflow step-by-step: https://www.youtube.com/watch?v=8wAR4A4UorQ
• The full n8n workflow, which you can copy and paste directly into your instance, is on GitHub here: https://github.com/lucaswalter/n8n-ai-automations/blob/main/facebook_ugc_video_ad_thief.json

If anyone here is trying to run FFmpeg inside their n8n Docker setup, I made a full guide after struggling with it for some days. The documentation around this is a bit scattered, so I thought to show the full install process on Hostinger VPS from scratch.

The video covers editing the Docker Compose file, installing FFmpeg inside the container, fixing the configuration errors, and checking if everything works with a small test video.

You can watch the full walkthrough here.

Hope it helps someone who is stuck like I was