We all learn differently and sometimes you may be "stuck" and with a such a large community, and counting. Do you find the community to "listen" to you?

Just curious, does everyone write your md files from scratch? Or do you ask claude to help you write, by giving it information? And can I say that the recommendation is to have md files lesser than 150 lines?

This might be a dumb question but what exactly are the practical benefits of taking the folder based approach? Does it provide more efficient use of tokens, more consistent results? How can we demonstrate this so we can sell this idea to others? I tried creating a sample home page using the folder based approach versus standard claude.ai but couldn't really see a big difference.

I've been running cold email campaigns for clients for 3 years and the biggest shift I've seen isn't the tools. It's what actually gets a reply. Personalization used to mean scraping a name and company from LinkedIn, dropping it in the first line, and hitting send. "Hey {FirstName}, I noticed {Company} and thought..." That worked in 2022. It's dead now. Everyone's doing it and prospects can spot a mail merge from the subject line. What changed for me was treating personalization like actual research instead of a data field. Here's what I started doing: → I scrape the prospect's entire website. Not just the homepage. Blog posts, service pages, case studies, about page, even their contact form if it's there. → Then I feed all of that into OpenAI and have it analyze what they actually do, who they serve, and what problems they're likely dealing with. The AI doesn't just summarize. It finds the specific details nobody mentions in generic outreach. So instead of "I saw you work in logistics," the email opens with "Noticed you handle cross border freight into Mexico. Your blog mentioned customs delays eating 15% of delivery windows." That's the kind of line that gets opened because it doesn't sound like 500 other emails they got that week. The reply rates went from 2-3% with generic personalization to 8-10% with actual research. One prospect replied last week: "Your email won because you actually read our site. Everyone else sent the same template." The system I built does this automatically. Scrapes the website. Analyzes every page. Generates icebreakers that reference non-obvious details. It writes openers like a human who spent 20 minutes studying their business, except it does it for 1,000 prospects in an hour. Here's what I learned building this: Small prompt details make a massive difference. Having OpenAI shorten company names naturally (say "Stripe" not "Stripe Inc.") and reference specific pages beyond the homepage makes it feel real. The difference between "I saw your website" and "I saw your freight tracking dashboard lets customers get ETAs without calling" is everything.

Wanted to share that today my boss came to me and asked seriously "Is this really possible?" and I was able to confidently say absolutely and we can make it whatever we want. Probably gonna be some discussions about what needs to go on the website but really happy that after last week's proof of concept website we're actually gonna move forward on our branding, nice end of the week