Build a Personal AI Prompt Library from Physical-World References
AI image prompting often starts online: search for a style, collect references, describe them, and generate. But your visual vocabulary can also begin in the physical world—a plant, a tile, a book cover, a strange facade, a piece of furniture, or a detail in a church. This workflow turns everyday discoveries into a personal prompt library. AI helps investigate and translate what catches my attention, while I decide what matters. Step-by-step: 1. When something catches my eye, I photograph it and record where I found it and why it interested me. I do not need to understand my attraction immediately. It might be, “This plant has fascinating leaves,” “Who is the writer quoted on this tile?” or “Is it the copper, its patina, or the reflected light that I like?” Attention comes before classification. 2. I ask AI to help identify unfamiliar materials, objects, plants, techniques, or historical connections. A tile might lead to a writer, a literary movement, typography, or metalworking techniques. I preserve the original context—including the location, date, material, maker if known, and my observations—and mark uncertain identifications as uncertain. 3. I separate each object from what makes it visually interesting. For example: - Source: Plant with folded leaves. Principle: Layered fan-like forms with radial repetition. - Source: Weathered copper plaque. Principle: Warm metallic surface, uneven oxidation, and shallow relief. - Source: Facade with irregular windows. Principle: Repeated vertical rhythm interrupted by asymmetry. - Source: Green and coral book cover. Principle: Muted green with a single warm coral accent. This lets me reuse the visual logic without copying the object. 4. I translate each visual principle into concise, reusable prompt fragments, such as: - “Fan-like folded forms with radial repetition” - “Aged copper with dark patina and shallow embossed texture” - “Regular architectural rhythm interrupted by one off-grid element” - “Muted green field with one warm coral accent” These descriptions give me more control than generic words such as “beautiful,” “organic,” or “vintage.” One object can produce multiple fragments related to typography, surface, colour, proportion, lighting, or composition. 5. I store the entries in a document, database, or tagged visual archive. Useful fields include the reference, photo, location, date, what caught my attention, identification and research notes, visual principle, prompt-ready fragment, tags, related references, and confidence. I tag entries by visual function, such as colour, material, texture, rhythm, lighting, or composition, and always preserve links to the original reference. 6. I connect discoveries that may share underlying principles. Folded leaves, pleated fabric, ribbed metal, and fan-shaped architecture might express similar structural rhythms. I ask AI which relationships are visually meaningful, which are superficial, and which could combine well. The library becomes a connected visual vocabulary rather than a collection of isolated images. 7. When creating an image, I select references according to what they contribute. For example, a plant can provide shape language, copper can provide surface and lighting, a facade can provide compositional rhythm, and a book cover can provide colour balance. I ask AI to explain each contribution and remove references without a clear purpose. The goal is not to place all four objects into one image, but to combine their visual principles into something new. 8. I keep collecting and refining. A walk, museum, garden, or café can introduce new references. I update entries when I discover better information and preserve personal reactions, even when the only explanation is, “I just really like this.” Repeated attraction can reveal a personal visual vocabulary I had not consciously recognised. The workflow is: Notice → Capture → Investigate → Extract visual principles → Translate → Store → Connect → Reuse → Refine. AI does not have to be where inspiration begins. The world can stay upstream. A plant can start a prompt. A tile can start a research trail. A material can become a lighting instruction. A facade can become a composition rule. A book cover can become a colour recipe. I notice. AI helps unpack, translate, and connect. The prompt library becomes the bridge between seeing something in the world and being able to use what I saw later.