Day 1: Turned a research brief into a real newsletter draft, complete with AI-generated infographics, sitting in Gmail ready to send. Day 2: Pointed Claude at old personal Gmail accounts via MCP and it surfaced ~25 real SME contacts from 2020 fiber-install records I'd forgotten existed. 363 contacts later, my outreach pipeline actually has substance. Day 3: Built a real skills library, daily-briefing, task-triage, urgent-reminder, research-brief, meta-client-onboarding, all triggered by slash command or plain language. Day 4: Shipped a real cloud automation. Anonymous pageview tracking on my site plus a weekly analytics email, running on Trigger.dev, no laptop required. Day 5: Already had this one covered, my site's been live on Vercel since I started the challenge. Day 6: Added a second scheduled task to the same pipeline. Every Monday it pulls real AI/automation news and drafts me 4 platform-specific post ideas (LinkedIn, Facebook, Instagram, TikTok), grounded in actual sources, not generic filler. Day 7: This whole setup already was my executive assistant, context files, memory, a growing skills library, real tool integrations (Gmail, Calendar, Drive, CRM, WhatsApp). Hardest part: reworking a Supabase client mid-deploy because its Realtime layer needed a WebSocket API my build container didn't have. Small thing, but it's the kind of gap you only find by actually shipping, not by reading docs. What's next: less building, more selling. First paying client is the real milestone now.

A few months back I started building AI content systems for clients, fully automated, no editors, no script writers, no managers, nothing manual. The numbers still surprise me every time I look at them. One reel hit 5,251,777 views. 93.9% came from people who had never seen the account before, meaning 2.8 million completely new accounts discovered the brand through content alone. No paid ads. No cold outreach. Just consistent content the algorithm kept pushing because it never stopped running. That same system generated 42 inbound leads and helped close $25,800 in business across four different clients. Here's the actual lesson in this. Most businesses don't have a content problem, they have a consistency problem. Remove the human bottleneck and the algorithm rewards you for showing up every single day without fail. AI doesn't get tired. Doesn't take a sick day. Doesn't forget to post because life got busy. That's the whole system. If you want to see exactly how this works, drop a comment or send me a DM.

Just almost a yearly wrap up. That is what it adds up to. Since August 2025, roughly 12 hours a day, every single day, building. No weekends off. No waiting for the right moment. Just learning & building. In the beginning it was not really building yet. It was learning and building at the same time. August, September, October, November were months of studying deep into the night, figuring out how all of this actually works. ( watched a lot of hours @Nate Herk videos) Slowly the balance tipped, and building became the bigger part. But one habit never changed: I still make a real study of every project before I start building it. Understand it first, then build it right. People ask what all those hours turned into. Here is the honest answer. I built things, a lot of them, mostly hands-on: ( I have 70 repos in Github) - Internal dashboards and a full Command Center to guide and steer our team in Uganda, so distance never becomes a wall. - Tailor-made CRM systems for food companies. - An operating system for an apple pie business. - Plexaris, a 16-week course platform to train students in Uganda, and - PRACTIQ Pro, an AI learning platform. - Plexaris AGRI, helping farmers in Africa become EU Deforestation Regulation compliant. - FoDiQ, Food Digital IQ for CPG and Foodservice. - SPEAQ, encrypted messaging with quantum-safe cryptography, now a native app, and - SPEAQ ID, sovereign digital identity. Access everything, give nothing. - HAKI, a legal-access platform for people in Uganda who normally never reach a lawyer. Product is build by the team in Uganda. Plexaris Command center to support and manage the team in Uganda - Plexaris HR, a complete HR platform running live, with payroll and post-quantum encryption. - DOQENT, a masterpiece for teachers, built together with a teacher from Slovenia. - CLARIQ, Where Clarity Meets Intelligence, C-level English learning, built with an Australian who lives in France. - And dozens of websites along the way and projects which are still in Stealth mode.

I built an AI tool that actually worked. An AI system that re-books dead leads. Database reactivation. It did the job (really well). One problem: The people who needed it most had no idea I existed.. I didn't have a build problem... ...I had a distribution problem. And most of us, when we hit that wall, do the same thing: go back and build MORE. Add another feature. Watch three more videos. Make it fancier. Or grind out cold DMs and content and hope something sticks. I skipped all of it and went looking for one person instead. Not a customer… The one person who already OWNED the room full of customers I wanted. My target market was solar companies. ☀️ A whole ocean of them. So I hopped into a few solar Facebook groups and lurked. Same name kept popping up. One "influencer" every solar owner seemed to follow. So I did my research on him. 🔍 Turns out he wasn't just an influencer… He ran a data-aggregation company, a whole network of lead-gen sites that funneled leads into his software and out to his solar clients. Here's the part that mattered: ✅ He already had the audience. ✅ He already had the exact companies I wanted. ✅ And his business only made money when those solar companies WON. That last one is the key. His income was tied to my dream customers succeeding. So he had every reason to hear me out. So I didn't pitch him. I PARTNERED with him. One short zoom call and I showed him the fit: his lead-gen pours people in the front door… my AI works the back door, quietly re-booking the ones who went cold. His whole funnel, every leak plugged. 🚰 I offered a risk-free, performance-based deal so he and his clients had ZERO downside. He introduced me to 3 of his biggest clients on the spot. A few weeks later my AI was living in their systems, booking meetings on autopilot. One of those clients did $147,000 in sales from a list their reps had already given up on. 🔥 My cut? $15,000. 💰 No ads. Not one cold email to a solar company. I found the one person who already had the room, and we built something neither of us had alone.

Nothing to do with automations or Claude Code. Just the browser. When you're jumping between multiple clients, your tabs turn into a mess fast. Client A's tools here, client B's docs there, research tabs you meant to close three days ago, proposals sitting open as reminders. I fixed this with a free Chrome extension called Tabisto. Named sections for each client, separate workspaces, saved sessions that restore a full tab set in one click. Every time I open a new tab I see exactly what's relevant instead of starting from scratch. Free, no account needed. Small fix. Saved more time than I expected. Anyone else have a system for keeping client work separate in the browser?