imaginelisted

# Imagine Guidance for the two image tool calls in Fusion: - `image_gen` - generate a **new** image from a text prompt. - `image_edit` - modify an **existing** image using a text prompt and source image. Apply this whenever you're considering or about to call either tool. ## Build accurate visuals with code, not the image tools 1. **Image models are unreliable at exact text, numbers, and structure.** They can handle short text or a simple layout, but they often garble words, invent numbers, draw chart bars that match no data, or point diagram arrows nowhere, and the more that has to be exact, the worse they do. A detailed prompt doesn't make it dependable, and an `image_edit` pass usually won't fix it. So when a result needs specific text, data, or structure to be correct (charts from real numbers, labeled or technical diagrams, math explainers, tables, screens with real copy), construct the asset with code, where you control the exact content. Prefer HTML and CSS, which give much better layout, typography, and polish than Python plotting. When only the look matters (photos, illustrations, characters, scenes, decorative art), the image tools are the right choice. Which one fits depends on what the output needs to get right, not on how the request is worded. ## Verifying discrete accuracy (loop) When the output must get specific text, numbers, data, or structure right, don't trust the first result - verify it in a loop: 1. Produce the result (generate, or per *Build ac