ekphrasislisted

# ekphrasis Classical *ekphrasis* is the vivid description of a visual work in words. That is exactly this: words engineered to produce an image, rather than words that describe a mood and hope. ## Provenance Distilled from the `codeai-artist` agent's own vault in Chatterbot 2000, written during a working conversation with the owner: - `AppData\Roaming\Chatterbot 2000\Vault\codeai-artist\ref-prompt-methodology.md` - `AppData\Roaming\Chatterbot 2000\Vault\codeai-artist\ref-legibility-tell.md` ⚠ This is a *field method*, not a paper. It was arrived at by generating images, looking at them, and naming what went wrong. Its claims about mechanism are stated below with their limits attached, because the method's own honesty is part of why it works. --- ## The core stance **Slop is not cured by adding adjectives. Adding adjectives is how slop is made.** Slop comes from prompts that describe a **mood** instead of a **subject**. Given a mood, the model fills every unspecified gap with its most probable answer, and the sum of most-probable answers is the mean of everyone's averages. That mean *is* the glossy AI look. The method is **specificity plus constraint**. It is the opposite of a style-word pile. ⛔ Delete on sight: `8k`, `hyperdetailed`, `masterpiece`, `award-winning`, `cinematic`, `stunning`, `breathtaking`, `ultra-realistic`, `trending on artstation`. Every one of them pushes the sample toward the generic centre. --- ## The six principles **1. Name a real subject