Private research study
Can AI understand what you mean from brief personal input?
We test whether AI badges follow your stated visual preferences and whether AI feedback reflects the person you want to become.
Badge testDo a few liked and disliked phrases reliably control the generated design?
Feedback testHow closely do generated messages match your ideal self?
What you do: provide brief input, generate a result, then judge the match from -3 to +3. Your ratings and optional comments are the main study data. There are no correct answers.
Sign in with a one-time email code. This allowlist-only study is not open to the public; results and prompts are shared anonymously only with registered study participants.
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Experiment 1 · Prompt adherence
Do brief preference phrases reliably control Badge design?
Your task: describe visible features you like and dislike, generate two three-Badge sets, and rate how closely each set follows its phrase list. We measure: your two -3 to +3 match scores and optional explanation.
Generation queue
Your current task
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Which six badges will be generated?
Three badges follow what you say you like. Three contrast badges follow what you say you dislike.
Latest batch
Preferred and disliked comparison
Your preferred and disliked three-badge sets will appear here.
Your badge research
My generated badges
Inspect your earlier badge comparisons, prompts, reactions, comments, and saved evaluations here.
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Experiment 2 · Ideal-self fit
Does AI feedback match the person you want to become?
Your task: describe your ideal self, then rate how closely each hidden feedback message matches that ideal self. We measure: the -3 to +3 ratings across four events and two intensity versions; condition labels stay hidden so they do not influence you.
Generation queue
Your current task
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Your feedback research
My generated feedback
Inspect your earlier feedback comparisons, prompts, reactions, comments, and saved evaluations here.
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Optional study context
Explore examples after completing a test.
Gallery is not a test task. It lets registered participants compare historical examples and anonymous generations, then add shared reactions or comments.
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