This portfolio demonstrates end-to-end prompt engineering workflow: writing prompts, generating image batches, reviewing every output against defined quality criteria, selecting the best result, and documenting issues with actionable feedback.
Sometimes no output meets quality standards. This case study demonstrates the ability to reject an entire batch when systematic issues prevent any image from meeting the brief — and to document actionable feedback for the next iteration.










A complex photorealistic prompt tested across 3 batches (12 images). Each image reviewed for composition, face detail, text accuracy, anatomy, lighting, and prompt adherence.












Selected as the best output from 12 candidates across 3 batches. This image achieves the strongest balance across all criteria — combining the most photorealistic face with acceptable text legibility and strong composition.
While A-3 had better backlighting and B-1 had clearer text, B-2 delivers the most convincing photorealism, which is the primary quality goal for this editorial brief.
A product-style wallpaper prompt tested across 9 batches (36 images). Representative outputs shown with quality assessment.









Selected as the best wallpaper from 36 candidates across 9 batches. This image achieves the most realistic liquid dynamics — the juice spray and droplet scatter feel genuinely photographic rather than rendered.
Multiple watermelon slices at different angles create the "burst apart" energy the prompt describes. The vibrant crimson-magenta palette with natural depth of field makes it ideal as an iPhone wallpaper.
A complex multi-element prompt combining character design, fashion, and mech robotics. 10 batches (39 images). Representative outputs shown with assessment of prompt adherence.










Selected as the best output from 39 candidates across 10 batches. This image was generated using --sref style reference to maintain cross-batch consistency, demonstrating advanced parameter usage. The result is the most polished editorial composition in the set.
Clean separation between model and mech allows both elements to read clearly. The bear head is recognizable, all outfit elements are present, and the overall framing achieves the high-fashion editorial look the prompt targets.
A highly detailed photorealistic prompt with challenging anatomy (feet/toes) and a specific compositional element (sand heart on skin). 36 batches (142 images) — the largest generation run in this portfolio. Demonstrates systematic review of a high-volume batch with recurring failure modes.










Selected as the best from 142 candidates across 36 batches. This image correctly interprets every compositional element: sand heart on skin, legs relaxed, feet with toes in sand, blurred ocean background.
The skin texture achieves genuine photorealism with visible pores and natural oil sheen. Critically, the foot anatomy is correct (five toes, natural proportions) — a common failure point in AI-generated images. The cinematic depth of field keeps the heart in sharp focus while softly blurring the background.