To create unique, on-brand invite cards at scale, the designer chained multiple AI tools together. She used Midjourney for initial concepts, trained custom models on Civit AI, then used FAL AI to blend models and variabilize prompts for generation. This demonstrates a sophisticated workflow beyond single-prompt image creation.
To build a durable business on top of foundation models, go beyond a simple API call. Gamma creates a moat by deeply owning an entire workflow (visual communication) and orchestrating over 20 different specialized AI models, each chosen for a specific sub-task in the user journey.
Tools like Notebook LM don't just create visuals from a prompt. They analyze a provided corpus of content (videos, text) and synthesize that specific information into custom infographics or slide decks, ensuring deep contextual relevance to your source material.
Instead of prompting a specialized AI tool directly, experts employ a meta-workflow. They first use a general LLM like ChatGPT or Claude to generate a detailed, context-rich 'master prompt' based on a PRD or user story, which they then paste into the specialized tool for superior results.
Instead of a complex 3D modeling process for Comet's onboarding animation, the designer used Perplexity Labs. By describing a "spinning orb" and providing a texture, she generated a 360-degree video that was cropped and shipped directly, showcasing how AI tools can quickly create high-fidelity, hacky production assets.
Nick Pattison's firm creates generative tools for clients, enabling them to produce on-brand assets like geometric patterns themselves. This innovative handoff empowers clients to scale their brand system instantly and playfully, moving beyond static guidelines.
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.
At Perplexity, the brand team's strategy is to use AI tools for 'velocity and volume,' according to VP of Design Henry Modiset. This allows a small team to produce a massive amount of creative assets, making the brand feel ubiquitous and loud in the market without a huge budget.
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.
Treat generative AI not as a single assistant, but as an army. When prototyping or brainstorming, open several different AI tools in parallel windows with similar prompts. This allows you to juggle and cross-pollinate ideas, effectively 'riffing' with multiple assistants at once to accelerate creative output and overcome latency.