Quick question for the group: How are you currently using automations with LinkedIn? Curious what’s working for everyone on the outreach, content, or analytics front. I run a LinkedIn Growth Lab where we swap playbooks, always on the lookout for new automation tricks and tools. Would love to hear your favorite setups (or pain points)! Drop your approach or ideas below 👇

I've been using Chat GPT for all sorts of things for personal life, to help me solve problems, and for copy for my business. But now I want to make videos and I'd love you advice on where to start. Here's the background - I have blog posts that I am making into podcasts. I record myself as a talking head and put the videos on YT, and put the audio out separately as a podcast. Currently using Descript. The blog posts that I share are actually stories - I talk with spirits and with nature and share their stories. I would really like to make these stories into animated movies to put on YT. I tried a few times in Descript, but it was slow and cumbersome and wasn't creating what I was describing. Even something simple, like the number of people in the scene, was wrong. What do you suggest for what tool(s) to use and how I can learn to make these videos?

Holiday gatherings run on workflows. This family leaned on AI to build an allergen-aware Thanksgiving menu and budget by comparing prices across Aldi, Walmart, and Whole Foods. This is an example of what I call "semi-automation" (Not that it's a technical term) where AI plans the menu and looks for the best prices for comparisons to generate lists for human review. This is important to us because it is an easy way to educate and introduce the public to AI automation and help manage any fears that they have. And that will elevate our industry and efforts more than any other initiative. How do you document and refine the workflows in your own automation projects? https://creativecooking.blogspot.com/2025/11/seasonal-menu-planning.html #Automation #AI #ProcessEngineering

Hey everyone, I’ve been working on an ambitious automation system that generates AI-driven UGC product videos with custom durations. For now, I’m focusing on the proof of concept (POC) using two 10-second clips (total ~20s). Here’s how the pipeline works 👇 1️⃣ Prepare Inputs A submission form captures the product image. The image is analyzed by GPT-4o. Results are stored in Google Sheets with three main fields: ICP, Product Features, Video Settings (can also be manually filled) 2️⃣ Generate First Video (Video 1) An AI agent creates the video prompt. The prompt is sent to the Kie.ai API (Sora 2 model) for generation (following Nate’s tutorial). Output → Video1. 3️⃣ Transcription Used Whisper API to extract the transcription from Video1. The text is then added to Google Sheets for further processing. 4️⃣ Quality Check (Optional) A Gemini-powered row checks for abnormalities or hallucinations in the generated content. 5️⃣ Extract Persona & Last Frame Used Shotstack API to capture 10 frames from Video1. Each frame is analyzed and scored. The system extracts the clearest persona image and last frame automatically. 6️⃣ Prepare for Video 2 Generation The workflow gathers all necessary data (images, prompts, metadata) to build the second video. 7️⃣ Generate Second Video (Video 2) Using this body for the sora-2-image-to-video endpoint: { "model": "sora-2-image-to-video", "input": { "prompt": "{{ $json.output.replace(/\r?\n|\r/g, ' ').replace(/\"/g, '').replace(/[“”]/g, '') }}", "image_urls": [ "{{ $('Limit2').item.json['Last frame'] }}", "{{ $('Limit2').item.json['Persona frame'] }}", "{{ $('Limit2').item.json['Product Photo'] }}" ], "aspect_ratio": "portrait", "n_frames": "10", "remove_watermark": true } } 🎥 Results Attached below: First video (Video 1) Second continuation video (Video 2) Workflow visual 💬 Looking for Feedback I’d love feedback or suggestions on: - Optimizing prompt/body/strategy suggestions. - Improving continuity and persona consistency between videos

Do you know any black Friday deals for AI automation? Share it in the comments! 👇