Hi guys! Just finished Day 1 of the AIS Challenge! 😄 What I built: A newsletter machine that researches a topic, writes the copy, generates a branded header image, formats it into HTML, and sends it via Gmail. Basically I now have an intern who never sleeps, never complains, and only occasionally makes the logo too small (more on that below). Tested it with two brand identities: one on agentic AI, one on a Manila real estate story. One thing I learned: This was my first time using Claude Code, and honestly the best part was just watching it work step by step.. research, then writing, then image gen, then HTML, then send. Felt like watching someone actually think through a build instead of just vomiting code at me. 10/10 would watch again. One thing I'd improve: The copy is currently long enough to require a snack break halfway through, gonna tighten that up. Also the logo shows up exactly once, at the top, at a size best described as "squint and you'll find it." Next version: bigger branding, more often, less "spot the logo" energy. Looking forward to: Haven't cracked this yet, but I want to push the whole workflow to GitHub and hook it up to Trigger.dev so it just runs on a schedule without me babysitting it. If anyone's done this, send help. On to Day 2! 🚀

#AIS Challenge Built an Executive Agent to build resume and cover letter pdf file from my personal data using different skills, I created during its setup. Also Created a sub agent to see my alignment with the job. Although the Main agent has everything inbuilt from building job related files to show my ATS score, the sub subagent will Sonnet for its task explicitly to give me a score at low price. Finally, finished 7-Day AIS Challenge with lot of learnings to move forward. Tools Used: Claude Code Pro, VS Code, Firecrawl MCP server

Fourth Rep of 7 - Built and deployed an automation that turns one idea into ready to post social content. Fill out a quick form, AI writes the captions with on-brand graphics (your colors, logo, auto-sourced photos or you upload your own photos), the finished set hits your inbox to review before posting. Instagram or LinkedIn, single posts or carousels. Under the hood it's TypeScript on Trigger.dev with auto-deploy from GitHub

Hey everyone! 👋 I've just completed my first AI project as part of my AI founder journey. 🛠 Project: SnapList AI What it does: 📸 Upload a product image 🔗 Get a shareable image link 🤖 AI analyzes the image 📝 Instantly generates: - Product Title - Product Description - SEO-friendly Caption The goal is to help sellers create product listings in seconds instead of spending time writing everything manually. This is an early version, and I'm building it publicly to improve with every project. I'd really appreciate any feedback or suggestions on: - UI/UX - Features to add - Overall workflow Thanks for checking it out! More AI projects coming soon. 🚀 #BuildInPublic #AI #VibeCoding #n8n #FastAPI #Learning

Hi everyone, my name is Efeturi, I’m from London, and I’m genuinely excited to be part of this community. Right now I’m focused on scaling an AI agency. I’ve spent a lot of time getting good at the technical side building systems, automations, and delivering results but more recently I’ve been pushing hard on the sales side too, because that’s the real unlock. My bigger vision goes beyond just business. I’m working towards financial freedom, time freedom, and location freedom and one of my biggest personal goals is to retire my parents. I’ve also decided to document the entire journey on YouTube. It’s honestly a bit uncomfortable putting myself out there, especially while I’m still figuring things out, but I want to build in public, improve faster, and share the real process not just the wins. I'm currently doing a series documenting my journey from £0 to £10,000 per month and beyond 🚀 Looking forward to learning from you all, connecting with like minded people, and contributing wherever I can 💪🏿 P.S. Here is the link to my YouTube in case you want to stay up to date with the journey :) https://www.youtube.com/@efeturi-online