ai literacy,
disguised as a game
pixeldash teaches kids 6 to 16 how to think with ai, not just use it. parents stay in the loop. kids stay in the flow.
built by parents. designed with educators. early access opening soon.
three tiers. one mission.
every kid moves at their own pace. pixeldash meets them where they are.
hands-on projects where kids build with ai tools, test their assumptions, and learn to ask better questions.
build a chatbot
design a chatbot personality, set its rules, and test it with friends. see what breaks.
fact check challenge
give ai a topic, read its answer, and find the mistakes. first to spot three errors wins.
remix the news
take a real headline, rewrite it with ai help, and compare tone, bias, and accuracy.
in-app preview coming soon
what they'll learn
- critical thinking: evaluating ai output before trusting it
- iteration: improving results through better prompts and feedback
- bias: how training data shapes what ai says and does not say
- collaboration: working with ai as a tool, not a replacement
how it works
three steps. zero complexity.
kid picks a quest
every quest is a real problem. not a tutorial. not a quiz. a thing worth building.
they build, break, and debug
kids use ai as a thinking partner, not an answer machine. they learn by doing.
parents see what clicked
a weekly digest shows what they explored, what stuck, and what to talk about at dinner.
a parent layer that isn't creepy
parents get a weekly digest of what their kid explored, which concepts clicked, which need reinforcement, and suggested offline conversations to have at dinner. think of it as co-learning, not monitoring.
what your kid explored this week
- asked an ai to help debug a sorting algorithm
- explored how image recognition works with a photo classifier
- built a chatbot that recommends books
preview of the weekly parent digest
trusted by parents at
what kids are building
the weather bot
mila, age 7
asked an ai to explain weather, then built a bot that gives outfit suggestions based on the forecast
story remix machine
kai, age 10
trained a simple model to rewrite fairy tales in different genres
bias detector
ava, age 14
built a tool that flags biased language in news headlines using sentiment analysis
pet translator
noah, age 8
designed a pretend pet translator and learned how ai guesses meaning from context
recipe generator
zara, age 11
created an ai that suggests dinner recipes based on what's left in the fridge
deepfake spotter
leo, age 15
trained an image classifier to tell real photos from ai-generated ones
what parents and educators are saying
“my daughter asked me at dinner what a 'training set' was. i didn't expect that from a game.”
priya m.
parent of 9-year-old, brooklyn
“i've tried every coding app out there. this is the first one my son didn't abandon after a week.”
david l.
parent of 12-year-old, austin
“the weekly digest actually tells me something useful. not just 'your child completed 3 lessons.'”
sarah k.
parent of 7-year-old, london
“my students started asking better questions after two weeks. not just 'what's the answer' but 'how would the model know that.'”
ms. chen
5th grade teacher, san francisco
“it fills a gap we've been struggling with. ai literacy isn't in the curriculum yet, but it should be.”
james r.
middle school cs teacher, toronto
“the tier system works. my 6-year-olds and my 14-year-olds are both engaged, which almost never happens.”
dr. okafor
education researcher, duke university