Use Case #24: Meta-Prompting

Different AI tools speak different languages. DALL-E wants certain keywords. Midjourney has its own syntax. GPT-4 responds to specific structures.

I don't want to remember all that. Claude does.

The Meta-Prompt Pattern

Me: "I need a hero image for a fintech landing page. Minimalist, blue tones, abstract."

Claude: "Here are optimized prompts for each platform:"

For DALL-E 3 - Professional prompt with specific style keywords, aspect ratio, and negative prompts.

For Midjourney - Same concept, different syntax. Parameters like --ar and --stylize. Keywords Midjourney responds to.

For Stable Diffusion - Yet another format. Weighted tokens, checkpoint recommendations.

Why This Matters

Each platform has quirks. Midjourney loves "cinematic lighting." DALL-E prefers "professional photography style." Knowing these differences gets better results.

Claude knows them. I don't have to.

Beyond Images

Same pattern works for other AI tools. Need a ChatGPT prompt that produces consistent JSON? Claude writes it with the specific phrasing that reduces hallucination. Need a Whisper transcription prompt? Claude knows which settings reduce filler word artifacts.

The Multiplier Effect

One request to Claude → optimized prompts for 5 different tools → better results from all of them.

Meta-prompting is prompting about prompting. And it works.

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I use this pattern almost daily across multiple AI tools.