Hey y'all I just finished my day 6 build. I was so excited to try it after understanding scheduled tasks and loops, cause this is mindblowing if you think about it (for me at least as someone who's not very educated yet on Claude and AI in general) I was like:"Why do I not use this to make my research way easier? Why not make an agent that scrapes all posts on my AIS community, reads it, understand it well, and send me an email with the summary of the most important information for the day, great ideas, and use cases posted for inspiration" This is great cause it saved me a lot of time and of course helped me better understand and be illuminated tbh. I am planning to use it on different platforms and for different use cases like summarizing my email, checking my google chat and slack for tasks of the day, and likely engage with social media posts to run my promotional content in the future insha'allah. Please feel free to share your feedback and suggestions, it would be really appreciated!!

I was wondering did the 7-day challenge take y'all only 7 days? cause so far it took me over a month, and I need to know on what do I need to focus? I know we all go on different paces but I believe there's an average and I haven't taken a day off of learning and building. Is this common or I need to step up my game?

What’s good, everyone? I’ve been off the grid for a minute. Here's a short loom that explains my Day-5 build in a minute: https://www.loom.com/share/5274384c30e24924bbbb25741876182d I got completely fed up with manually filtering through hundreds of job leads, staring at screens, and writing the same proposals. It takes hours, and honestly, who has the time? I wanted to touch grass, so I built a fully autonomous engine to do the heavy lifting. Here is what I just cooked up: The Real-Time Lead Scoring Dashboard. I didn't just string a couple of basic prompts together; I built a legit two-tier AI architecture to avoid rate limits and keep costs at the absolute floor. - The Vibe Check: Incoming data is processed by a lightning-fast Llama 3 model running on Groq hardware. Its only job is to grade the lead on a 1-10 scale in literal milliseconds. - The Heavy Lifter: If the lead passes the vibe check, it gets routed to a massive 70B-parameter model that drafts a highly tailored, bespoke proposal. - The Aesthetics: I piped all of this backend logic through Supabase Realtime WebSockets into a custom Next.js UI styled with Tailwind and Framer Motion. The dashboard updates instantly as the AI works—no page refreshes, just smooth animations. Why this is a massive W if you run a business: I built this specific dashboard for my own pipeline, but the underlying engine is completely universal. If your company is manually qualifying inbound leads, sorting data, or dealing with clunky AI tools that crash when you try to scale, you are burning cash and time. This two-tier architecture drops API costs by 90% and runs entirely hands-free. I just recorded a Loom video breaking down the exact Next.js and n8n architecture. Drop a comment below if you want the link (or if you want me to send over the local deployment files so you can test the code on your own machine!). If you’re a founder looking to build this exact real-time infrastructure into your operations—my DMs are open. Let's chat.

Here's my day 1 - Newsletter build. Would love to hear feedback .

Happy 4th of July and happy 250th birthday, America 🇺🇸 I used part of today to complete Day 1 of the AIS 7-Day Challenge, and I’m honestly pretty proud of this one. I built a newsletter automation workflow that starts with a topic, adds research context, drafts the content in my brand voice, generates a supporting visual, and assembles everything into a formatted newsletter preview. The biggest takeaway for me was simple: Automation works best when the process is clear first. The workflow only started feeling solid once I broke it into clean checkpoints: research only, writing only, image only, HTML build only, then review/export. That structure kept the automation from running ahead of me, which is exactly the kind of discipline I want in the systems I build. Sharing my Day 1 preview below.