This group I'm sure has a wealth of tools from members that already built their own thing. I'm looking for a youtube tool that analyzies videos from diffrent channels based on views, titles, thumpnalis, and subs. Anyone got something you want to share feel free to be proud with what you got. Edit: I'm getting into the English teaching niche for helping people pass English certs needed either for immigration, or scholarship studies. I'm trying to analyze videos based on view performances ratioed to the sub count. ideally small channels with 50k max subs with video counts of 1:5 the sub ratio. Targeting only youtube. key words would be English, IELTS, PTE, Toefl. I'm sure there are lots of tools and resources out there either you have built or even used and its public or paid. I know nothing about Ai, and brand new here.

1. Go check out 📚Navigating The Course to see how to get around and what's here. 2. Start with The Foundation. Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things join in on our Biweekly competitions and win some real cash. ⭐ Competitions Mega Thread 5. If you are wanting to dive into the masterminds, grab all the past templates, artifacts and resources. Upgrade and head into the The Vault for Premium and The Drawing Room (VIP) for VIP 6. Post your work. Ask questions. Help others when you can. What are you here to build?

Update: looking for helps❤️ 👋For the last 2 months, I've been heads-down exploring ai image & video generation as my new personal project. Then about 1 month ago, I sent the kids to my relative for few weeks and lock myself in a room and went nerd out to build a tool that lets me take an idea and turn it into a profession cinematic video. I recorded it working on a real project and wanted to share what it actually does. The idea in a nutshell: Instead of guessing what makes a video great, my tool studies one: → I give it an original video as a study case (here's the one I used: [youtube]) → It analyzes that video and pulls out its DNA — the small details in every component that make it work: the shots, the pacing, the sound, the transitions, the feel. → Then it reverse-engineers that DNA into something completely new and my own — and carries it all the way through, even into the editing, mostly automatically. The Unfolded short film bellow received the same DNA treatment, as you will see, the context is similar ..however, it produced a very unique animation perspective using origami. Every user who analyzes a film makes the library richer for the next one. That's a network effect — the rare thing that actually compounds. GitHub for film DNA: fork a look, make it yours, push it back. Theres no one size fit all approach for different type of contents. But this is the closest thing to a “reusable” end to end video generation.This is a foundation to a full content creation pipeline - you re using a proven video as a reference for your own video. Once you figured out your winning format, automate it to create video daily/weekly is the easy part. Imagine this can be apply to real estate, cinematic movie, music video, reconstruct video, demo video, etc.. What the system can do today: - 🔬 Analyze a reference video and extract its DNA + Build world assets - 🎬 Turn that into a fresh shot list and generate the clips - 🔊 Build the sound design + multitrack mix right in the app - ✂️ Edit and render the final cut — one click to MP4 - ♻️ Keep everything as reusable building blocks for the next project - It's not perfect yet — there's still real work to do and I'm fine-tuning it every single day. But it already takes me from "a video I admire" to "a finished video of my own" faster than I ever could by hand.

https://www.instagram.com/reel/DaYoXM5v8Xt/?igsh=ZHExa3NvOWx2MTJi

People jump straight to “what agent should I build?” That creates unnecessary Agent sprawl. You get personas with no clear responsibility, prompts pretending to be operators, and Agents acting befre the workflow is even proven. Start with the bottleneck. Ask: "Where does work keep getting stuck?" or "What responsibility keeps repeating?" or "What output would prove the role is useful?" Then keep it low-control first: checklist, workflow, prompt, human-assisted role. Only turn it into a named agent when it has a trigger, inputs, boundaries, outputs, escalation, and review. here is a simple progression framework: - Name the responsibility first. - Prove the workflow second. - Create the agent last. Edit: attached methodology from Growth OS