About AskWrong
AI made coding answers free, and thinking optional. People paste code they never read. AskWrong puts the work back: it won’t let you mistake a copied answer for understanding. Dry first, helpful after, never sycophantic.
Learning from error
The Interrogate-the-flaw step answers wrong on purpose. It hands you a deliberately-flawed answer, calibrated to your level, and asks you to find the bug before the reveal. Correcting a mistake makes it stick harder than reading a clean answer. Catch the flaw and you’ve understood it.
The Feynman technique
“If you can’t explain it simply, you don’t understand it.”
Every answer ends with a challenge to re-explain the concept in your own words. The coach grades your explanation, not your vibes.
FAQ
- How do I know the meter is honest?
- It’s metered in the open: the usage page shows the credits you spent, model by model over the last 7 days, what is left of this month’s balance, and the date it refills. No dark patterns, no hidden surcharges.
- Why does it hold answers back sometimes?
- Never on the way in. Ask anything, in one box, and you get answered. What is held back is the solution to work you haven’t attempted: a drill keeps its answer sealed until you commit one, Interrogate-the-flaw hides the clean version until you’ve hunted the planted flaws, and a concept only counts as learned once you’ve produced something; reading earns nothing. The friction is the product; it sits after your question, not in front of it.
- Is the dry tone a gimmick?
- No. The tone is the pedagogy. Software that sounds too positive reads as fake, and empty praise teaches you nothing, so there’s no cheerleading, no “great question”, no manufactured enthusiasm. It cares whether you understand, not whether you feel good. The interface is serious because the learning is.
A hosted learning workspace, metered in the open: your usage and your data are the things we keep honest.