AI in Game Development: Gamedev Tips, Tools, Techniques, and GPT / LLM Agent Integration
@platypus Thanks.
platypus:
Every AI model I have used has consistently struggle with this walk cycle.
Since ChatGPT was first released, I have been tracking a small set of tasks that LLMs historically struggled with. Each time a new model becomes available, I revisit these tasks to see how capabilities have evolved. This appears to be a case worth adding to that set.
My primary interest is not in games, but in generating images and videos related to cellular biology. The difference between reading about these processes in a book or paper and actually seeing them represented visually is substantial—well-crafted graphics or animations can convey far more detail and intuition than text alone.
Yesterday, I came across the following resource: (released: Apr 21, 2026)
This guide highlights prompting patterns, best practices, and example prompts drawn from real production use cases for
gpt-image-2. It is our most capable image model, with stronger image quality, improved editing performance, and broader support for production workflows. Thelowquality setting is especially strong for latency-sensitive use cases, whilemediumandhighremain good fits when maximum fidelity matters.
developers.openai.com
GPT Image Generation Models Prompting Guide
OpenAI's gpt-image generation models are designed for production-quality visuals and highly controllable creative workflows. They are well-s
One of the generated images stood out due to its level of detail:
The cookbook also includes an example related to cellular biology:
However, the prompt used for that example is explicitly scoped:
Create a simple biology diagram titled “Cellular Respiration at a Glance” for high school students.
Discussion in the ATmosphere