From AI-Frustrated to Shipping 3 Features Daily

Why 87% of developers are failing with AI (and how to join the 2% who ship)

I spent a year procrastinating on a chores app for my kids. A YEAR. Setting up boilerplate, designing schemas, thinking about UX... it all felt like too much work after already coding all day.

Then I tried Claude Code. 3 hours later, my kids were using a production app on AWS.

That's not a typo. One year of procrastination solved in three hours.

But here's what really shocked me: I wasn't coding. I was describing what I wanted, and Claude Code was building it. Not generating snippets I had to fix. Not suggesting completions I had to debug. Actually building, testing, and deploying.

The 87% Problem

Most developers using AI tools are stuck in what I call the "copy-paste trap." They use ChatGPT for snippets that need debugging. Copilot for suggestions that break. They're still coding.

The 2% who've figured it out? They describe. Claude builds. They ship.

Last Tuesday at 9pm, I described a chores app. By 9:47pm, my kids were using it.

The Revolution Is Here

While developers debate whether AI will take their jobs, a new breed is shipping 10x faster. While teams argue about implementation details in meetings, they've already deployed v2 to production. While you perfect your ChatGPT prompts, they're collecting user feedback on their third feature this week.

The only question: Will you join the 2% who've cracked the code? Or stay with the 87% still copy-pasting snippets?

Inside, I'll show you:

• The exact workflow that took me from 1 year to 3 hours

• My multi-tenant disaster (and the lesson that 10x'd my output)

• Real examples with time breakdowns

Here's exactly how I went from procrastinating to shipping...