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 built in public and metered in the open: the usage page shows your real asks and credits, the limits are stated up front, and the code is public. No dark patterns, no hidden surcharges.
- Why does it hold answers back sometimes?
- There’s an effort gate. If your question is the equivalent of “it doesn’t work”, you get pointed clarifying questions instead of a handout, because there’s nothing to learn from an answer to a question you didn’t think through. Show your work and you get answered. The friction is the product.
- 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. Built in public, metered in the open: your usage and your data are the things we keep honest.