The museum of an ordinary object
Turns a mundane possession into an imaginative, emotionally grounded exhibit from the future.
Browse by format
53 complete prompts. Pick a task, replace the fields and make something useful.
Narrow it down
Ready to use
Turns a mundane possession into an imaginative, emotionally grounded exhibit from the future.
Designs a tiny research interaction that turns one public answer into a respectful story prompt.
Explores a historical what-if through everyday systems rather than famous leaders.
Uses a deliberately awkward limitation to discover a realistic small experiment.
Uses a courtroom game to distinguish a strong claim from strong evidence.
Builds a puzzle sequence that teaches before it tests.
Creates a fair-play mystery where every clue can be inspected before the reveal.
Stages a grounded dialogue about a choice without pretending to predict the future.
Builds a short branching story where the choices alter the interpretation, not just the ending.
Builds a small, honest market test with clear customer, value, cost and stop criteria.
Traces a claim to its original evidence and separates what is true, missing and overstated.
Builds a balanced question set, marking rubric and targeted remediation path.
Teaches through questions, examples and misconception checks instead of dumping an answer.
Turns vague KPIs into formulas, source-of-truth rules, refresh cadence and audit examples.
Audits a CSV for quality issues before building defensible findings and charts.
Creates concise alt text based on the image’s purpose rather than describing every pixel.
Produces a natural translation plus a glossary and flags ambiguous phrases.
Builds an itinerary while clearly separating stable ideas from prices, rules and schedules that need current verification.
Organises symptoms and questions without diagnosing or replacing clinical care.
Converts vague product wishes into testable user journeys, edge cases and release gates.
Plans a genuinely useful location page without doorway-page duplication or invented local claims.
Adds a strict schema, validation rules and failure behaviour to a data-extraction prompt.
Diagnoses ambiguity, missing inputs, unsafe authority and unverifiable success criteria before rewriting.
Builds a scene around conflicting visible and hidden goals rather than exposition.