I just finished the Day 1 AIS challenge. Easy to start, as I'm a daily Claude code user and I've been building things for the last 6 months, but I am excited to expand my knowledge. My main goal now is to make my agents as independent as possible, as I am currently the bottleneck. I feel like I can manage $15-$20k a month by myself with the right infrastructure in place. Time for day 2!

From $64K+ in closed deals to first paid projects, first workflows, and first technical builds - this week inside AIS+ showed what happens when builders stop consuming and start moving. Some wins were big money. Some were first steps. Both matter. 🚀 Standout Wins of the Week inside AIS+ 👉 @Jacob West closed two deals in one week — a $22.5K custom software build for a local gym and a $42K AI OS rollout for a mid-market energy business. 👉 @Luca Giovinazzo delivered his first full client project live — 11 n8n workflows, CRM, Telegram bot, inventory alerts, booking system, KPI tracking, user guide, and Loom walkthrough. 👉 @Fadwa Naboulssi landed her first client three weeks into the community — a candidate sourcing workflow on a $150-per-successful-hire commission. 👉 @George Maitland completed his first technical build using Claude Code + n8n MCP — a local content engine with Telegram as the command center. 👉 @James O Neill built a free portfolio site for a friend-of-a-friend’s side hustle… and she insisted on paying anyway. First real money landed. ⸻ 🎥 Super Win Spotlight | @Josh Holladay Josh joined AIS+ because he wanted more than scattered learning. He wanted momentum. Focused content. Better access. And a room full of people actually moving. Since joining, he has: - Closed real client work - Built stronger confidence around pricing and value - Used the portfolio course to get clear on where he was and what needed to happen next - Learned how to turn client conversations into real business opportunities - Found a place to celebrate wins with people who actually understand the journey

AI Agent for Real Estate Visualization from Construction Plans I’m building a tool that automatically generates photorealistic visualizations of a new build or renovation from architectural plans and the construction specification — including a finished, clickable web exposé. The goal is to show the completed property based purely on planning documents before the first brick is laid. What it can do: - 📐 Plan Analysis: Reads PDF plans and the construction specification, then creates a verified “project dossier” as the single source of truth — areas, rooms per floor, apartment layout, materials, existing structure vs. new build. Areas are extracted deterministically from the plans, not guessed by the AI. - 🛰️ Geodata Accuracy: For existing buildings, it automatically retrieves Street View via Google Maps for the real façade, plus satellite imagery for the roof and surroundings. This helps match the actual building instead of inventing a generic lookalike. - 🖼️ Three Visualization Categories: Exterior views, interior views, and 3D floor plans for each apartment. - 📊 Accurate Floor Plans: 2D and 3D floor plans are rendered from the same deterministically extracted wall mask, ensuring they are perfectly aligned and true to scale. Pure image AI cannot reliably do this. - 🌐 Web Exposé: The final output is a finished, clickable exposé containing all views. Architecture: Built around the WAT principle — Workflows, Agents, Tools. The AI only handles orchestration and decision-making, while the actual execution is done through deterministic Python scripts. This keeps accuracy high, because every step left to the AI multiplies the potential error. Tech Stack: Claude Code as the agent, Gemini 3 Pro Image (Nano Banana Pro) for image generation, PyMuPDF for plan/PDF extraction, the Google Maps API for geodata, and Python + Pillow for deterministic geometry. Key lesson so far: Image AI can produce impressive individual images, but it cannot guarantee consistent geometry across multiple viewpoints. That’s why I extract hard geometric truth from the plans and provide it to the AI as a reference, instead of letting it interpret everything freely. True, freely rotatable 3D has intentionally been postponed — for now, the exposé is image-based.

Built my first newsletter email with AI today. Nothing fancy, but it actually works. What clicked: give it the right context and you've got a usable draft in 2 minutes. No more staring at a blank doc waiting for inspiration. What I'd change: the subject line. Too weak. Next time I'm going harder on it. If you're still on Day 1 and feeling behind... you're not. Keep going. 🚀

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊