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Advanced Two-Step Prompting Strategy for Nano Banana Pro Thumbnails

This tweet outlines an advanced, two-step prompting strategy to significantly improve the quality of AI output, specifically for generating YouTube thumbnails using Nano Banana Pro. The strategy involves first asking a powerful LLM (like GPT-5.2) to systematically summarize the best practices, terminology, and constraints for creating Nano Banana Pro prompts (creating a 'map'). Then, the user asks the LLM to generate the final, specific prompt based on that established system and the user's requirements, resulting in much more consistent and targeted output.

Advanced Two-Step Prompting Strategy for Nano Banana Pro Thumbnails — example 1
Advanced Two-Step Prompting Strategy for Nano Banana Pro Thumbnails — example 2
Advanced Two-Step Prompting Strategy for Nano Banana Pro Thumbnails — example 3

Prompt

これ、実はもう一段ズルい使い方あるんよな。 1回体系的にまとめさせる →それを前提に成果物作らせる/論点深掘る これやるだけで、アウトプットの質がマジで別物になる。 なんでかっていうと、最初にAIの頭の中に 「用語」「判断基準」「禁止事項」「型」「優先順位」みたいな設計図を作らせると、 次の指示がその設計図に沿って出力されるからブレにくい。 例えばN

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