My name is Marcus. I don't write code. But I build systems. A few months ago, I joined a small family-run business called Or Noir Bourbon. We source premium Madagascar vanilla directly from producers, no middlemen, and sell it to bakeries, pastry chefs, hotels, and restaurants across France and internationally. Old-school business. Physical prospecting, WhatsApp messages, manual orders. Good product. Zero infrastructure. So I decided to build one. From scratch. Using AI as my developer. Here's what's already live: - A custom CRM deployed on Railway, built with Next.js and Prisma - Meta Lead Ads webhook: every new prospect auto-populates the CRM in real time - Shopify integration: B2C revenue tracked live - A financial dashboard showing total revenue (B2B + B2C), Meta Ads spend, and net margin by period Here's what's coming: - A WhatsApp AI assistant trained on our entire knowledge base, with three automation phases (manual validation, full automation for small orders, premium workflow for large clients) - A lead qualifier agent that scores and segments every inbound lead automatically - A weekly performance report agent - An orchestrator that routes leads to the right sub-agent based on profile I'm not a developer. I'm the architect. Claude Code is my developer. If you're into watching someone build a real AI-operated business in a niche nobody is touching yet, I'm about to document the whole thing here. Are you in? (please like I need to unlock level 3 😂)

Hey everyone, While most AI agencies are fighting over the saturated US/UK markets, a massive, quiet shift is happening right now in France. If you know how to read the local economic landscape, the next 12 to 24 months are going to be wild. Here is my prediction on where the French B2B market is heading and where the highest-paying opportunities are hiding: 1. The DNVB & E-Commerce Revolution (The Survival Phase) French consumer habits have completely shifted towards eco-responsible and "Clean" brands (Cosmetics, Fashion). These brands scaled fast, but their backend operations are bleeding cash. - The Flaw: Saturation of customer support (SAV) and high cart abandonment because they lack hyper-personalized, instant automation. - The Opportunity: Implementing advanced AI agents that don't just reply to FAQs, but actually upsell and track orders natively in perfect French. 2. Traditional Sectors vs. Digitalization (Real Estate & Local Services) France is famous for its administrative complexity. Traditional sectors like Real Estate (Immobilier) and local service industries are drowning in manual tasks, paperwork, and missed inbound calls. - The Flaw: High friction in lead qualification. Staff spend 80% of their time sorting bad leads instead of closing. - The Opportunity: Voice AI and automated CRM workflows tailored to the specific regulations and cultural tone of the French market. 3. The Language & Culture Barrier = Your Ultimate Moat Most standard Anglo-American AI solutions fail in France. Why? Because French business culture relies heavily on trust, precise vocabulary, and local compliance (GDPR/RGPD). You cannot just copy-paste a US template. 🤝 Let’s Team Up & Dominate This Market I am a Business Development & Market Intelligence expert based in France. I already have the database, the direct lines to the decision-makers, and the exact list of operational flaws for dozens of high-potential French companies. I handle the localized strategy, the pitching, and the closing.

Wonder what you are using on your projects

Claude Code can read files, write code, browse the web, and process documents. It cannot watch a video. I kept running into this. I would find a video I wanted to study, copy the URL, paste it in, and hit a wall. Claude had no way to see what was actually in it. So I built a skill that fixes this entirely. /video-analyze takes any video URL, downloads it, extracts frames at the correct timestamps, pulls the transcript, and passes everything to Claude for analysis. It works with TikTok, Instagram, YouTube, Reddit, X, etc. But the part that changed how I work is what Claude does after. It does not just describe the video. It reverse-engineers it. You get: - The hook broken down (spoken line, visual, category, plus a fill-in-the-blank template to swipe with your own wordings) - A timestamped table of every beat in the video, from open to CTA - The exact engagement mechanic the creator used and when they placed it - A replication playbook with 3-5 specific things you can copy into your own content Here is the GitHub repo. Just download the entire folder and run it in Claude Code (VS Code/Desktop) to install it globally. https://github.com/Mharis-code/videoanalyzer One command. The installer handles everything. If you study content for your own strategy, this saves hours every week. (DON'T FORGET TO STAR THE GITHUB REPO IF YOU FIND VALUE IN THIS SKILL) Drop a comment below and tell me what you analyzed. Curious what you find. PS: I know, thumbnail inspired by the great Nate Herk.

Most YouTubers show you a single path into AI work: start an automation agency → take clients → sell automations. It works. I know because I built an AI automation agency and sold it. But it's not the only way in, and for a lot of you it's not even the best one. I made this video to break down the two real paths: The AI Career Opportunity Nobody is Talking About in 2026 Here's the quick version: Path A is the agency play. You go independent, take clients, build your own practice. Path B is the employment play. You become the most AI-fluent person in the room, and that's who companies want to hire or promote for AI work. If you're already employed, you become the obvious pick when an AI role opens. If you're looking to get hired, or move somewhere better, you walk in with real work instead of just claims. It's the less obvious path, but it's actually the more common one. The employment numbers (see the video) are shocking actually. Watch the full breakdown in the video. Then do one thing for me in the comments because I'm super curious: Tell me which path you are on. A, B, or both. And one line or so on why. I'll be reading these. Nate