Reading books is one of the biggest unfair advantages of life. I mean, think about it. Someone spends years researching, struggling, learning, and you get all that knowledge in just 10 to 12 hours of your time reading. It's a cheat code to get more successful in life. But there's actually a problem with it. Most of the books have repeated knowledge. The same information being packaged in multiple different ways, and this wastes a lot of your time. So to solve this issue, I've handpicked 44 best books that I've read in my life across multiple domains like: Business Self-help Storytelling Psychology AI Tech And so much more. One of these books literally made Steve Jobs cry. I've also added some of the best fiction books because I believe fiction is usually deeper. And they share the best life advice in the form of stories. So instead of wasting years of your life searching for the best books on the internet, check out here and access the list of 44 books. And remember, you don't need motivation. You need a direction. And the right book at the right time.

Been quietly building out a hyper-personalized cold outreach system over the last few days — and it’s getting spicy. Here’s what I’m doing: Pulling raw leads from scraped sources (Google Maps, Instagram, etc.) Filtering only the ones with website + email Using AI to deeply analyze the brand, tone, and service Then writing custom emails for each business Spread across 10 Gmail accounts with daily send limits + follow-ups All orchestrated through n8n and Gemini And yes — it even handles 3-stage follow-ups without repeating the same person This is being built for one of my pilot clients, but I’m planning to share the whole setup, step-by-step. No fluff. No pitch. Just pure value for those trying to escape generic cold emails and build a system that actually gets replies. I’ll be posting a full breakdown soon — maybe even a tutorial if folks are interested. If you’re curious, working on something similar, or want to ask how I’m structuring it — feel free to DM me or drop a comment. Happy to talk shop, share ideas, or build cool stuff together. Stay tuned .. this one’s going to be fun.

If you’re trying to learn AI automation, stop hoarding courses and start doing this instead Been teaching myself AI automation for the past 2 years..here's what actually helped me improve (and not just feel like I was learning while doing nothing). 1. Start by solving your own workflow problems For me, it was content overload. I read a lot ...blogs, papers, Twitter threads .... but never had time to actually process it all. So I built a personal research assistant in Make.com: Scrapes an article Sends it to GPT-4 Drops a smart summary into Google Sheets Now, when I see something interesting, I just throw the URL in and get a clean summary. It started as a test. It’s now part of my daily workflow. Start with what slows you down. Don’t build random clones just because a tutorial says so. 2. Only follow builders, not talking heads Most content is noise. These few actually helped me: Liam Ottley → teaches how to build/sell automation systems Nick Saraev → great technical breakdowns (n8n, Make) Greg Kamradt → teaches RAG, AI agents, production flows Aravind the AI Guy → AI tools for solopreneurs every week Andy lo- helped to learn complex workflows in easiest way... Rule: Watch → pause → apply. Don’t binge watch. Build while watching. 3. Use communities like search engines Most of my breakthroughs came from Discords, Reddit, or Skool threads. When I’m stuck, I search the exact error or use case in these: r/PromptEngineering, r/aiagents, r/n8n Discords: Learn AI Together, AI Agency Alliance Skool: AI Automation Agency Hub, Maker School, andynocode etc.. Chances are your question has already been answered. 4. Only take a course if you’re gonna build with it Courses I liked: 🧠 If you’re new to AI: IBM’s Prompt Engineering on edX DeepLearning’s Prompt Engineering for Devs Andrew Ng’s AI for Everyone 🛠 If you want to build: LangChain apps (any course is fine) CS50’s AI with Python Greg Kamradt’s RAG + agent builds 💼 If you're launching services:

Hey everyone, Just wanted to share a bit of what I’ve been working on lately to streamline and automate parts of my digital marketing system — especially for Meta (Facebook/IG) ads. A lot of people jump into ad campaigns too quickly — write a generic hook, toss in a Canva graphic, and pray it converts. I did that too in the beginning. But over time, I’ve built a system that makes the whole process smarter and more efficient. Here’s how I’ve been automating it lately: 1. Competitor Research (Hands-Free) I use tools and custom workflows to track what top-performing pages in a niche are currently running. It gives me: Hook ideas Offer structures Ad creatives Copy tone All without wasting hours manually scrolling through Meta Ad Library. --- 2. Ad Script Generation (Using AI with Strategy) Instead of ChatGPT vomiting generic copy, I trained a few prompt flows that: Pull the actual offer details Mix them with successful competitor angles Match ad tone to audience (DTC, SaaS, service, etc.) It outputs structured, ready-to-run ad scripts (headline, primary text, CTA). Saves me tons of time on ideation. 3. Static Creative Generator I use automation to auto-build static ad concepts with: Clean layout Bold copy (based on script) Brand elements Still tweaking it, but I’ve already got decent mockups that are actually usable — not just inspiration. 4. Working on Video Ad Automation This part’s still in progress, but I’m building a flow to: Pull a product/script Auto-generate a storyboard or video template Eventually produce short-form video ads (maybe using Runway or Synthesia in the future) Not saying every part is perfect — still testing and improving. But automating this stuff has saved me hours of creative work, and lets me focus more on strategy and data. If you’re someone running Meta ads and tired of writing from scratch or testing blindly, happy to jam or share ideas. Always down to connect with other marketers who like working smart 👇