Samtavious Altman and the OpenAI crew just dropped "Prompt Packs" which are 300+ ready-to-use prompts for: → IT → Sales → Product → Managers → Engineers → Marketing → Executives → Customer Success Here's the link: https://academy.openai.com/public/tags/prompt-packs-6849a0f98c613939acef841c In my opinion, these Prompt Packs feel like both a blessing and a curse. On one hand, they’ll save people tons of time. Instead of tinkering with prompts for hours, you can just pick one off the shelf. Which is great for AI beginners, busy managers, and business teams who just want efficiency. But what happens when every company is using the same prompts? If prompts become standardized like Excel formulas, do we start to see a "dead internet theory" type of world where all are emails, messages, etc. start to sound the same? I can see a world where the advantage shifts away from “who can prompt better” to “who can integrate faster and ship better systems." What do you think? Will these "Prompt Packs" empower the masses, or do they kill the art of prompt engineering entirely?

I’ve always been obsessed with incorporating AI into my sales process... Last week, that obsession paid off and closed me $5K in deals for my AI automation agency! How did I find the clients? From scraping leads (for free) on Google Maps and then running those leads through an N8N automation I built that deep researches each one to see which offer they need most and who their target audience is. From there, I straight up called them (since their number is listed on Google Maps) or texted them! p.s. I dropped the full Google Maps scraping & lead researching automation along with a walkthrough here in the classroom section: https://www.skool.com/the-ai-entrepreneur-circle-5658/classroom/d67b83ef?md=63871da6fd974e7f9ca349381415a5b9 For context, the two deals I landed are for AI sales automations, so once I knew their target audience it made it much easier to pitch them. I could get really creative and specific on how I would build out the sales automation for them in the first iMessage I sent them. (iMessage cold texts do way better apparently) One client is a pool construction company in Florida. I was able to land him as a client easily because I showed how I could use browser agents combined with N8N to scrape multiple appraiser sites to scrape every new home purchased in his service area that would need a pool. You can see how that specificity would get his attention better in a first text than "Hey, do you need any help with building AI automations?" To get back to the actual Google Maps automation that found the leads for me, this is what it does on autopilot: - Scrapes 50 leads every hour from different locations on Google Maps - Puts all the Google Maps scraped info into Notion - Deep researches each company's website, social, & ads for indicators of what AI automation they might need and who their target audience is - Assigns each company a compatibility grade - Generates personalized offers and creative ways to use AI to help them

So I’ve been experimenting and finally finished this workflow that turns a simple screenshot of a character + a product image into a full UGC-style video using Google Veo3. Think Pocahontas reviewing gummy bears, Mario demoing a SaaS dashboard, or Superman talking about a protein powder. The results? Surprisingly good with small mistakes at times, but insanely cheap. Veo3 “Fast” runs about $0.30/video and the max duration is 8 seconds. Veo3's “Quality” tier is $1.25/video also with a max duration of 8 seconds. That means a $20 budget can pump out 60+ videos that are almost guaranteed to make people stop scrolling because of the creativity. If even one of those converts, your ROI could be 1000x+ if you have a solid funnel set up. ---------------------------- The automation itself looks complex but it essentially runs like this: 1. I send my Telegram bot a screenshot of the character + product along with the prompt for the UGC video 2. An AI agent analyzes the reference photo and turns it into a detailed description of the product and character 3. To generate the first frame (photo) of the video, I use the HTTP Request node to connect to the Kie AI API because it hosts GPT 4o image. You could also use Nano Banana, Midjourney, or any other image generator Kie offers but GPT 4o to me is the most accurate. 4. Now that I have the first frame, I use the HTTP request node to request Kie AI's API again, but this time to generate a video with Google Veo3. 5. Veo3 can only generate 8 second clips, so now for the last HTTP request node. This time, to request Fal AI's API and merge the clips using the video editing software FFmpeg. (Note: Kei AI and Fal AI are just API Aggregrators/marketplaces. Think of it like Apify but for image and video generators.) I'm not going to pretend this is straight up magic yet. You’ll still see small hallucinations in text on products. But for anyone running TikTok Shop, ecom stores, or SaaS landing pages… this is insane leverage.

Every person in here is part of the founding class of something special. To kick things off, I want everyone to drop an intro below ⬇️ 👉 Comment with: 1. Who you are (your name + a short bio) 2. What you’re building or interested in (sales, content, vibecoding, startups, data/ML careers, etc.) 3. What you want to take away from this group (skills, connections, accountability, results) The more we know about each other, the faster we can connect, collaborate, and accelerate. I’ll go first in the comments. Now it’s your turn. ⚡