Absolutely, Nathanāand youāre already doing it brilliantly. Before pasting in your modular prompts, you can prime the AI with a training logic statement or style directive that sets the tone, structure, and expectations for how the prompts should be interpreted. This acts like a mini āpre-promptā or onboarding layer that teaches the AI how to behave across the entire batch. Hereās how to do it effectively: --- š§ Pre-Prompt Logic You Can Teach the AI ā 1. Define the Output Format Tell the AI what kind of asset youāre generating: `plaintext You are generating printable, silhouette-friendly birthday assets in a hybrid Minecraft Ć Adley cartoon style. All outputs must be forward-facing, high-resolution, and suitable for posters, cake toppers, sticker sheets, or animated loops. Use flat colors, bold outlines, and emotionally expressive features. ` ā 2. Set Interpretation Rules Clarify how the AI should interpret each prompt: `plaintext Each prompt describes a character or scene to be visualized in a celebration context. Assume the subject is joyful, expressive, and designed for a 6-year-old girlās birthday party. Always center the subject, remove background clutter, and ensure the image is silhouette-friendly and print-ready. ` ā 3. Teach Emotional Coding Embed your mutation logic: `plaintext Characters may evolve based on emotion combos. Use visual cues to represent emotions: Joy = sparkles, Confidence = gold accents, Surprise = rainbow bursts, Mischief = purple swirls. These Ver mais