For professional B2B collateral, standard AI image generators often produce generic or cartoonish results. Use a tool like Reeve.art, which built on its own image LLMs, to create realistic mock-ups that accurately incorporate brand elements like logos and colors.

To rapidly iterate on mobile UI, Lynn sketches screens on physical index cards, which have a similar aspect ratio to a phone. He then photographs these low-fidelity mockups and uses GPT-4's image generation to "upscale" them into high-fidelity designs, bridging the gap between physical brainstorming and digital prototyping tools like Figma.

To generate more aesthetic and less 'uncanny' images, include specific camera, lens, and film stock metadata in prompts (e.g., 'Leica, 50mm f1.2, Kodak Tri-X'). This acts as a filter, forcing the model to reference its training data associated with professional photography, yielding higher-quality results.

Integrate external media tools, like an Unsplash MCP for Claude, into your data generation prompts. This programmatically fetches real, high-quality images for your prototypes, eliminating the manual work of finding photos and avoiding the broken links or irrelevant images that LLMs often hallucinate.

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.

For marketing, resist the allure of all-in-one AI platforms. The best results currently come from a specialized stack of hyper-focused tools, each excelling at a single task like image generation or presentation creation. Combine their outputs for superior quality.

Google's Nano Banana Pro is so powerful in generating high-quality visuals, infographics, and cinematic images that companies can achieve better design output with fewer designers. This pressures creative professionals to become expert AI tool operators rather than just creators.

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.

AI tools can drastically increase the volume of initial creative explorations, moving from 3 directions to 10 or more. The designer's role then shifts from pure creation to expert curation, using their taste to edit AI outputs into winning concepts.