Prompt Engineering

This is a comprehensive reference for getting better outputs from AI models. It covers LLM prompting techniques like chain-of-thought and few-shot examples, image generation with FLUX and Stable Diffusion, and video prompting for models like Veo. The examples are practical and use the inference.sh CLI, so you can actually run them. The structure is solid: basic templates, then specific techniques for each model type, then advanced stuff like system prompts and iterative refinement. Honestly, the most useful part is seeing the before-and-after examples, like "a cat" versus a properly detailed prompt with composition and lighting. Good for anyone who's tired of fighting with AI to get what they actually want.