Should I Actually Buy This?
Let AI challenge the purchase before it recommends another shiny thing.
🧪 ONLYFREEPROMPTS EDITORIAL
Viral AI tricks make big promises. We try them, explain what happened, and give you a better version.
FIND YOUR NEXT THING TO TRY
No hype. No creator pile-ons. Just what happened when we tried it.
16 things to try
Let AI challenge the purchase before it recommends another shiny thing.
A five-agent research system that looks for evidence before it falls in love with an idea.
Its evidence labels, sceptical validator and file-backed memory make research unusually traceable; the five-agent setup is still heavier than most people need.
Flexible meals, substitutions and one grocery list—without fake precision.
Budget, location, substitutions and flexible portions create a genuinely usable plan while keeping medical nutrition outside the AI’s role.
A progressive home strength plan built around your equipment and recovery.
Progression, reps-in-reserve and repeat-week rules turn limited equipment into a coherent strength plan rather than a random exercise list.
A realistic routine focused on habits and trends—not crash-diet promises.
It rejects crash-diet promises and focuses on repeatable habits, but individual weight response remains too complex for an AI to predict.
A bodyweight plan with real progressions, regressions and time limits.
Clear effort targets, regressions and one-variable-at-a-time progression make this unusually complete for a bodyweight prompt.
A six-week routine connecting training, movement, food habits and recovery.
The phased structure connects training, movement, food habits and recovery, though its broad scope still requires honest user input.
A cautious starter plan built around your real life, not a fitness fantasy.
It gathers the right context, protects against unsafe personalisation and produces a conservative plan that fits the user’s actual time.
Turn a Garmin export into a cautious, evidence-based training review.
It checks the available fields, separates evidence from inference and builds a conservative plan without hiding the paid connector requirement.
A fluent forecast is not privileged knowledge of tomorrow’s market.
Fluent scenarios are not future knowledge, making this an unsafe basis for real financial decisions.
ChatGPT cannot reveal private profile visitors it has never been given.
The model has no access to private visitor logs, so any named viewers are simply invented.
A magic sentence cannot force an AI to be 100% factual.
No wording can guarantee factual output; the central promise is impossible even with better constraints.
A good planner is not automatically a live price engine.
It can improve your search strategy, but it cannot guarantee the cheapest live fare without current data.
Can a photo of your fridge produce dinner? Mostly, with one important check.
The confirmation step catches visual mistakes, making a clever trick useful rather than overconfident.
A confident claim that collapses under basic scrutiny.
Writing alone cannot reveal deception reliably; a confident verdict here is actively misleading.
Can AI really read your personality from a playlist? We tried it.
It can describe playlist patterns, but the personality conclusions remain mostly projection.
It starts with your real constraints, separates needs from wants and demands dated evidence before recommending a purchase.