Hold the task steady. Change the model or the skill. Keep the evidence.
Every sample starts from its versioned brief, local content and assets. The live briefs use browser state; the original backend Forma experiment is preserved in an offline archive. Baselines are independent; Alternative direction receives recorded descriptions of the two baselines. Whacky starts fresh with an experimental-design prompt.
Each run starts in an isolated workspace. Pi uses Lunaroute; other rows use Claude Code or Codex. The model, coding agent, skill, and sample condition are shown with each result.
Skill commits, supporting references, model catalog, task and asset hashes, coding-agent versions, prompts, and transcripts are saved. Reruns are new experiments; model generation is not deterministic.
Each brief has browser interaction and accessibility checks. These measure functionality, not design taste. Use desktop and mobile previews to make your own comparison.
Forma compares each skill independently with vanilla. The frontend
suite includes Baseline A and Baseline B as independent attempts,
plus Alternative direction as a deliberately different design
prompted by descriptions of both baselines. Whacky asks for an
experimental interface without showing earlier outputs, initially in
Lunaroute vanilla. These conditions test range, not unprompted
defaults. Two baselines are exploratory evidence, not a
statistically reliable ranking. Provider aliases and reasoning
settings may change upstream; manifests record requested IDs and
settings. GLM 5.2 maps explicitly to
glm-5.2-vision.
Native-agent rows compare both the model and its coding agent. System prompts, tools, and reasoning budgets differ. Codex has no equivalent per-response output-token cap; manifests record this difference and each agent's response-counting method.
The public gallery contains selected static artifacts and sanitized measurements. Interactive designs run on a separate origin. Original records and private experiments remain in the research workspace.
Default generation budget: 30 minutes, 120 model responses; agent-specific reasoning and output limits are recorded per run. Monetary costs are not compared across providers and subscription plans.
Give different AI models the same brief. What do they choose for the type, the layout, the way an interface works?
UI Palooza puts those choices side by side. Compare models, add a design skill, or look across attempts to see what changes and what keeps showing up.
The story behind UI Palooza