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.

Hey Automation community! 👋 This took me 2 hours to put together. If you're looking for a proven way to get clients AT SCALE and actually make money for your AI automation agency, then this is for you. I run an AI agency that basically made no money because I had a hard time finding new clients. I tried cold email starting in November and it quickly become one of our most profitable acquisition channels. I knew NOTHING about cold outreach when I started. I learned A LOT along the way (including plenty of expensive mistakes), so here’s everything I wish I had known from day one. If you don't know what cold email marketing is, it's when you send out thousands of emails to potential leads you haven't spoken to before. The goal is for them to book a consult with you where you'll then close on a deal. If you do it badly, it will look like spam and nobody will respond. Do it where you target relevant people ready to buy and offer a lot of VALUE, and you will generate sales. Part 1: Technical Setup Domain Strategy - Buy dedicated domains just for email campaigns — never ever use your main company domain. - Set up DNS records immediately: SPF, DKIM, and DMARC. - Use Google Workspace or Microsoft 365 for better deliverability (roughly $4–6 per account per month). Email Account Setup - Create 1–4 email accounts per domain. - Start slow: 10 emails per account per day, then increase volume by ~10% each day. - Max once warmed up: ~25 emails per account per day. - Example: 4 domains × 3 accounts × 25 emails = 300 emails/day to begin with. IMPORTANT: Always warm up accounts for at least 14 days before ramping up. Extra tips that help a lot: - Add real profile photos and complete the accounts. - Older domains tend to perform better when you can get them. - Set up a custom tracking domain for accurate open/click data. Choosing Your Sending Platform You can do it manually with the technical setup above but it's way easier to buy an email account that's already configured and ready to go. I ran high-volume campaigns using Instantly.ai because it has good deliverability, analytics, and tons of guides on it since it's used by many agencies to get clients. It’s not perfect but probably one of the best for cold email right now. But honestly, your lead list and outreach message matter more.

I gave Claude Fable a single goal prompt: build me a complete company from scratch, starting with nothing but the open internet. A few hours later I had a real product, a landing page, two launch videos, a founder video, a business plan, and market research, all built by hundreds of subagents that Fable planned, delegated, and reviewed. In this video I walk through everything it produced and break down the exact prompt that made it happen.

Fable 5 is going back behind subscriptions at some point, so I've been focused on keeping its process instead of its intelligence. In this video I walk through how to extract the way Fable works into a skill that makes Opus 4.8 feel elevated, how to actually use effort levels, and how to set up a simple model routing table so cheaper models handle the work they're capable of.

Excited to share my Day 2 build for the #AISChallenge. Today I used Claude Code with Firecrawl MCP to scrape coffee export shipment data and turn it into a structured dataset. 💡 One thing I learned What surprised me most wasn't the scraping itself—it was how Claude automatically chose the right Firecrawl tool for the job. Instead of manually figuring out which approach to use, I could focus on what data I actually needed. 🚀 One use case idea This immediately reminded me of how different things are today. Around 2019, researching coffee export data could easily take me 1–2 days. I had to know the right Google keywords, visit multiple websites one by one, and manually copy everything into Excel. Now I can collect and structure the same type of information in minutes. For businesses, I can imagine using this for market research, competitor monitoring, supplier discovery, or building business intelligence dashboards that stay up to date automatically. I'm still learning, but it's exciting to see how much AI is changing the way we work. Looking forward to Day 3! 🚀 #AISChallenge