I didn’t edit this video. I replaced the character and let AI take control. This is not a filter. This is not a template. This is Kling O1 supremacy — where AI understands • body language • camera physics • cinematic motion • human realism Most people still prompt. Very few people direct AI like a filmmaker. This video was generated by controlling identity, motion, and intent — not luck. Here how I did it - https://docs.google.com/document/d/1-FT7BmgSxd8vR-RlvoBAjhOoRpcScvAK43zn5xiou4U/edit?usp=sharing

Hello community, I am currently building an AI Sales Chatbot for Facebook Messenger using the AI Agent node. my workflow triggers immediately on every incoming Webhook message. If a user sends multiple short messages in a row (e.g., "Hello", "I want to buy", "a drone"), the workflow runs 3 times separately. This wastes AI tokens and results in the bot replying 3 separate times, which creates a bad user experience. I want the following sequence of events: 1. When a message arrives, it is stored/appended temporarily. 2. The workflow initiates a short delay (e.g., 5-10 seconds). 3. If a new message arrives from the same sender_id during this delay, the timer resets, and the new message is appended to the previous ones. 4. Only after the silence period (no new messages) does the workflow send the full concatenated text block to the AI Agent for processing. My Question: What is the simplest way to achieve this workflow? Thank you for your advice!

Most people have used a chatbot… But voice-based booking systems? They’re becoming one of the most efficient tools for customer service today. Here’s a quick breakdown of how an AI voice assistant can schedule appointments on your behalf- without human intervention: 1) Checking Availability When a customer asks, “Are you free tomorrow at 2pm?” The AI instantly checks your Google Calendar, reads busy slots, and identifies the open times.No waiting. No back-and-forth. 2) Analyzing Your Business Hours The system knows your working hours- like 9am to 6pm and only suggests valid times. This prevents accidental late-night or off-day bookings. 3) Creating the Appointment Once the customer agrees on a time, the AI creates a new event inside your Google Calendar automatically. 4) Sending a Confirmation Email The system then sends a professional confirmation message to the customer with all details included. 5) Returning a “Success” Message The AI confirms everything back to the caller so they know the booking is complete — instantly and accurately. Why This Matters: AI voice scheduling eliminates missed calls, reduces human error, and allows businesses to operate 24/7 without stress. It’s not just about automation, It’s about giving your customers a smooth, reliable experience. Do you Want to understand how tools like this could fit into your own business systems? Send me a message here, I would be happy to share more insights...

Had this project over the weekend with my team and here's some of the Challenges faced The main challenge was building a single automated system that could consistently generate high quality social media content across multiple platforms while avoiding duplicate posts and maintaining each platforms unique tone and format. Another challenge was coordinating AI text generation image generation posting schedules and storage in a way that was scalable reliable and easy to manage inside n8n. Handling validation errors API limits and image formatting differences between platforms also required careful workflow design. Solution offered I designed and implemented an automated social media content engine entirely in n8n. The workflow starts with a defined posting schedule and AI content parameters then pulls relevant articles and filters out duplicates by platform. I configured platform specific AI prompts for LinkedIn Instagram and Bluesky using an LLM and added JSON validation to ensure clean structured outputs. For visuals I integrated an image generation service then handled base64 conversion image resizing and storage in ImgBB. Each post and image is saved to Airtable for tracking and reuse. The workflow dynamically adapts content and images per platform while running fully automatically. Final outcome The final result was a fully automated multi platform content engine that produces consistent high quality text and images on schedule with zero manual input. The client can now scale social posting effortlessly reduce content creation time by several hours per week and maintain a strong brand presence across platforms. The system is stable easy to extend and ready for additional platforms or content sources as the business grows. Want a fully automated social media content engine like this for your business DO YOU WANT TO SEE A LIVE DEMO?