Make a dataset into an explorable museum
Turns real figures into interactive exhibits that preserve provenance and uncertainty.
A growing, practical AI prompt library
Find complete prompts for real tasks, understand what each one does, replace the variables and use it immediately.
New: prompts for messy reality
Turn claims, files, screenshots and risky offers into answers you can inspect. These prompts show what AI can and cannot verify.
Copy, paste, smile
These short prompts work in a chat you already use. For personal questions, the AI should say what it actually knows, not pretend it can see your whole life.
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Choose a format, then explore its topics. Every prompt has its own page.
Browse the library
Turns real figures into interactive exhibits that preserve provenance and uncertainty.
Specifies a compact accessible site where exploring objects reveals a story.
Plans a one-shot video through rooms whose objects gradually change the story.
Creates a split-screen video concept where one person makes a different small choice in each half.
Structures a personal recording into a short documentary while preserving what was actually said.
Creates a short, original audio drama with sound doing most of the storytelling.
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.
Plans reversible file organisation without deleting or silently overwriting anything.
Defines a repeatable research monitor with source quality, deduplication and quiet unchanged runs.
Walks key journeys with screenshots, failures and reproducible evidence rather than a vague quality score.
Sorts incoming messages, drafts replies and escalates important cases without sending on its own.
Turns a UI request into keyboard, screen-reader, responsive and visual acceptance tests.
Plans an integration around real schemas, authentication boundaries, retries and tests.
Defines a safe refactor with invariants, characterisation tests and rollback checks.
Forces a minimal reproduction, hypothesis ranking and verification before proposing a patch.
Creates performance-ready versions with meaning, timing and cultural checks rather than literal translation.
Maps a song idea into sections, instrumentation, vocal direction and originality guardrails.
Produces layered ambience with foreground cues, spatial placement and a clean mix plan.
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