23 copy-paste prompts. 4 phases. One complete path from idea to App Store. Free.
No spam. Just the prompts. Unsubscribe anytime.
We'll also send you a short series on how to get the most out of the pack.
You've seen the pattern. Someone has an app idea, opens Cursor or Claude, and types something like "build me a fitness tracker app." The AI produces code. It kind of works. So they keep going, adding prompts, patching errors, pasting in fixes — until the project turns into a tangled mess they can't understand and don't know how to extend.
That's not a tool problem. That's a process problem. The AI did exactly what it was asked. But without a plan, without a validated idea, without phases and guardrails — the AI amplifies your confusion instead of your productivity.
Here's the thing: AI is an extraordinary tool when you give it structure. Define first. Design before you build. Build in tested phases. Audit before you ship. When you add that process, AI stops being a trap and starts being the fastest way to go from idea to live app.
That's exactly what this pack gives you. 23 prompts organized across 4 phases — the same process I use, the same process that works whether you've never written a line of code or you already know some Swift.
The pack is organized around the four moments where most AI app projects break down. Each phase handles one.
For when you have an idea but no idea if it's worth building or how to build it.
Most failed app projects can be traced back to a single skipped step: nobody wrote anything down before the coding started. The 9 prompts in this phase do three things. First, they force-clarify your idea so the AI has something concrete to work with rather than a vague description. Second, they validate that real demand exists before a single line of code is written. Third, they produce an implementation plan and a guardrails file that travel with every build session going forward.
The guardrails file is the piece most builders skip and the one that makes the biggest difference. It tells the coding AI what it should and shouldn't do. Without it, the AI makes its own decisions about architecture, frameworks, and naming conventions — and those decisions change every session. With it, the AI stays consistent from the first prompt to the last.
The output isn't just clarity. It's a spec. A requirements document, a validated idea, a full implementation plan, and a guardrails file ready to go.
Phase outputs:For when you want to start coding but aren't sure what you're actually building.
A coding AI given vague instructions produces vague output. And "build me an onboarding screen" is vague, even if it doesn't feel that way. The 2 prompts in this phase generate wireframes and a complete navigation map for every screen in your app — including edge cases like empty states, error flows, and loading states — before any code exists.
This design spec becomes the blueprint. When you move into the build phase, you hand the AI the spec instead of describing things from scratch each session. Confusion drops dramatically. Inconsistencies between screens get caught now instead of three weeks from now.
Two prompts. One session. You walk away with a locked design spec the coding AI can follow without interpretation.
Phase outputs:For when you've started building but the project is becoming a mess.
Building an app as one giant prompt is the fastest way to end up with code you can't understand, can't test, and can't extend. The 8 prompts in this phase break the build into logical, tested phases — each one with a checkpoint before moving on. No phase starts until the previous one is committed to source control and passes a quick test.
The bug-fixing prompts treat every issue methodically: diagnose before you fix, confirm the fix before you commit, move on only when it's clean. It's how professional developers work, and it works just as well with AI in the loop. You stay in the driver's seat throughout.
The goal isn't just a working app — it's a working app you understand. Because if the AI wrote something and you have no idea why, the next bug is going to take you three times as long to fix.
Phase outputs:For when you think you're done but aren't sure the app is actually ready.
App Store rejection is common and almost entirely avoidable. The 7 prompts in this phase run a three-part audit against your actual codebase: a security review, an iOS best practices check, and a pass against App Store guidelines. You get a specific list of issues to fix before you submit — not vague advice, but a real audit run against your real code.
Once the app is clean, the second step handles everything you need for a complete App Store listing. The prompts generate your app icon brief, write screenshot headlines, produce a keyword-optimized description, and build a keyword research string. It's the part most developers dread and rush through. This phase slows you down for one session so you don't leave downloads on the table.
The output is an app that passes review and a listing that's ready to go live. Everything from finished binary to published listing — covered.
Phase outputs:CodeWithChris has helped hundreds of thousands of people learn iOS development — many of them with no coding background at all. Chris Ching founded CWC after spending years as an iOS consultant and noticing there were almost no beginner-friendly resources that explained things in plain English.
The Prompt to Published pack came directly out of watching what happens when people try to build apps with AI tools without a process. The excitement is real. The tools are genuinely powerful. But without structure, most projects stall before they ship. These prompts are the structure.
It's free. It works whether you're a total beginner or someone who already knows a bit of Swift. And it's the clearest process we know of for getting from idea to App Store with AI tools doing the heavy lifting. Enter your email and we'll send it straight to you.
No spam. Unsubscribe anytime.
