Once you've identified the core components of an image, structure them into a repeatable formula. This template allows anyone on your team, even non-designers, to generate consistent, on-brand assets by simply filling in the blanks, effectively turning prompting into a scalable system.

To onboard the next billion users, ChatGPT's image generation feature avoids forcing users to invent prompts from a blank canvas. It offers pre-canned ideas and styles like "turn yourself into a bobblehead," lowering the barrier to creation and encouraging sharing via links, which in turn drives app installs and new user acquisition.

Instead of spending time trying to craft the perfect prompt from scratch, provide a basic one and then ask the AI a simple follow-up: "What do you need from me to improve this prompt?" The AI will then list the specific context and details it requires, turning prompt engineering into a simple Q&A session.

Instead of random prompting, break down any desired photo into its fundamental components like shot type, lighting, camera, and lens. Controlling these variables gives you precise, repeatable results and makes iteration faster, as you know exactly which element to adjust.

To get superior results from image generators like Midjourney, structure prompts around three core elements: the subject (what it is), the setting (where it is, including lighting), and the style. Defining style with technical photographic terms yields better outcomes than using simple adjectives.

Instead of struggling to craft an effective prompt, users can ask the AI to generate it for them. Describe your goal and ask ChatGPT to 'write me the perfect ChatGPT prompt for this with exact wording, format, and style.' This meta-prompting technique leverages the AI's own capabilities for better results.

Leverage AI as an idea generator rather than a final execution tool. By prompting for multiple "vastly different" options—like hover effects—you can review a range of possibilities, select a promising direction, and then iterate, effectively using AI to explore your own taste.

To avoid generic, 'purple AI slop' UIs, create a custom design system for your AI tool. Use 'reverse prompting': feed an LLM like ChatGPT screenshots of a target app (e.g., Uber) and ask it to extrapolate the foundational design system (colors, typography). Use this output as a custom instruction.

Genspark's 'auto prompt' function takes a simple user request and automatically rewrites it into more detailed, optimized prompts for different underlying image and video models. This bridges the gap between simple user intent and the complex commands required for high-quality generative AI output.