The Universal AI Prompting Framework for Claude, Cursor, Bolt, and Lovable [PAID]

Every AI coding platform — Claude, Cursor, Bolt, Lovable, Replit, v0, ChatGPT, Gemini — publishes its own prompting guide. They look completely different. Underneath, they’re all teaching the same 4 patterns in different words. This guide extracts the one universal system that works across every tool, the 5 techniques that consistently improve AI code output, and the 10 habits most people should stop doing immediately.

Have you noticed that every AI coding platform has its own prompting guide?

Lovable has their playbook. Bolt has their best practices. OpenAI and Claude have entire GitHub repos. Cursor, Replit, GitHub Copilot, v0, Gemini… they all publish complete documentation on “the right way” to prompt.

But do we really need to learn all of that? Or is there something universal underneath?

I spent months finding out.

I read all guides I encounter. Compared them. Looked for patterns.

What I found surprised me.

Most prompt engineering advice is overcomplicated. The platforms emphasize their unique features, but when you strip away the marketing, they’re all telling you the same thing in different words.

That means you don’t need to learn nine different prompting systems. You need to master one and adapt as you go.

What you’ll go through with me:

• The Myth of Platform-Specific Prompting — why the guides all look different but teach the same thing
• The Universal Framework — one template that works on every platform
• What’s Unique to Each Platform — real architectural differences vs. marketing ones
• The 5 Techniques That Matter Most — and the 10 habits to drop
• Platform Adaptation — same prompt, different wrappers
• Your Next Steps — action plan by skill level