Significantly improve a 3D scene's quality
Instruct an AI to make substantial improvements to a 3D scene's quality.
OK make it a whole lot better
This prompt is a further iterative step to significantly enhance the quality and aesthetics of a 3D scene generated by an AI.
A highly improved 3D rendered image, significantly better than previous iterations.
This prompt is used in an iterative process to significantly improve the quality of an AI-generated 3D scene. It instructs the AI to make the scene 'a whole lot better'.
Allows for progressive refinement of AI outputs, enabling users to guide the AI towards a desired level of quality or aesthetic.
As an initial prompt; it's designed for iterative refinement.
- Using Blender with coding agents on macOS ↗Simon Willison · Simon Willison · Sep 5, 2026 · quoted as shared
First seen on Subvolts Sep 5, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Using Blender with coding agents on macOSOpenAI · Simon Willison · Sep 5, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ToolBlender for 3D scene rendering with AI agentsOpen-source 3D creation suite for generating scenes via AI prompts and Python API. · 10 min
- PromptRender a 3D scene of a pelican riding a bicycleInstruct an AI to use Blender to render a specific 3D scene. · 5 min
- PromptEnhance a 3D scene with background and flairIteratively improve a 3D scene by adding a background and flair. · 5 min
- ToolPlaywright for AI-driven frontend developmentA tool enabling AI models to inspect, validate, and refine frontend implementations autonomously. · 5 min
- PromptGenerate a complex 3D simulation of a town's evolutionBuild a procedurally generated 3D simulation of a harbor town's evolution from 3000 BCE to 3000 AD. · 30 min
- HeuristicUse Playwright for iterative inspection and validationLeverage Playwright to enable autonomous workflows for inspecting, validating, and refining frontend implementations. · 10 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with ChatGPT, Codex.
- Where did this come from?
- Simon Willison (Simon Willison). Subvolts collected, normalized and credited it; the link above opens the original.