Prompt Engineering for Meme Apps

When people try to build apps with AI, they often hit the same wall: the output looks like code, but it doesn't feel like a product. At memeSTORE, we spent months solving this gap with prompt engineering.

The Two-Step Pipeline

Step 1: Idea Expansion (Claude Haiku)

The user's one-sentence idea goes through an expansion step that extracts:

• Core interaction type (vote, confess, rate, track, etc.)
• The game loop (what keeps users coming back)
• The feedback moment (the fun payoff)

Step 2: PWA Generation (Claude Sonnet)

The expanded idea, plus our BUILD_SYSTEM_PROMPT, generates the full HTML.

Key Prompt Techniques

1. Role Definition

"You are a PWA generation engine. Your output is exactly one complete HTML file."

Strict role definition prevents the model from adding explanations or markdown.

2. Explicit Interactivity Checklist

The prompt includes a checklist the model must satisfy:

• [ ] At least 2 interactive elements with click/tap handlers
• [ ] At least 1 animation or visual feedback
• [ ] State that persists across interactions
• [ ] A clear "win" or "result" moment

3. Owner vs Visitor Pattern

Every app has two modes, encoded in the URL: ?owner=1 shows a management dashboard, default shows the player/submitter view. This pattern is explicitly in the prompt.

4. Size Budget

We target 40-60KB for the generated HTML. Too small = no interactivity. Too large = slow load on mobile.

Results

Apps generated with this pipeline have a measured 70%+ "fun on first open" rate, compared to ~20% for naive prompts.