Hi everyone! 👋 I’m excited to share my Day 1 win: building my first newsletter using Claude Code. I learned a ton through the process—how Claude Code works, what goes into creating a newsletter from scratch, and where there’s room for improvement. Since this was my first time building something like this, it was a great hands-on experience. Honestly, I’m pretty impressed with how capable the AI is. The result turned out better than I expected—but as a beginner, I’m sure I’ve missed things I could improve. I’d really appreciate any feedback or suggestions on how I can make the newsletter better. Thanks in advance! 🙌

Day 2 of the 7 day challenge. Claude Code and MCPs are already my daily drivers, so neither of those was new tonight. The new piece was Firecrawl, and to explain why it landed the way it did, I want to walk through the side of my world that has been heavy on scraping since the end of last year. A business I run called CreatorsForge (https://creatorsforge.co). CreatorsForge is a Shadow Operator setup. I find Instagram creators who have built real, engaged audiences but who have no monetisation in place. No products, no offers, no funnel. I partner with them on a revenue share. They keep posting, and behind the scenes I build the entire business under their name. Their brand is the front. My operation is invisible. The AI involvement is different at each price tier. - For low-ticket, Claude generates the digital product itself; the creator advertises it to their followers, who buy on my platform, and the whole thing rides on a 14-day launch strategy my Claude agents put together. - For mid-ticket and high-ticket, the creator records everything themselves. They are the expert in their niche, I am not, and that's the whole point. The videos and the 1:1 coaching live on my platform; my job is the launch strategy and the infrastructure, not the content. None of this works without knowing two things cold. The creator's audience: where they hang out, what they actually want, what language they use. And the creator themselves: how they talk, how they phrase things, the cadence of their voice. Because every digital product Claude generates has to sound like the creator wrote it, not like a generic AI did. For both of those jobs, since early this year, I've leaned on Apify. I use one Apify actor to find the right kind of creator: around 10,000 Instagram followers, strong engagement, comments full of buying intent and no link in bio. Once we're working together, two more actors do the heavy lifting. One pulls every Reel and Post the creator has ever published and extracts the transcript captions, which feed a Claude agent that builds a voice DNA file: vocabulary, cadence, recurring phrases, the way they open and close. The other scrapes the comment threads at scale, and a different Claude agent clusters the pain points and surfaces the audience's actual language. Voice DNA on one side, audience pain language on the other. Both feed the product design and the launch copy, which is how a low-ticket digital product can plausibly read like the creator wrote it themselves.