Notes on building Xyplor — the mechanisms, the pedagogy, and what we're learning from families.
OpenAI's terms bar under-13s from ChatGPT. Here's what the policy actually says, why it exists, and what parents do when their kid needs generative AI anyway.
A concrete checklist for evaluating AI apps for kids: the 5-layer safety floor, age-adapted tone, output types, parent visibility, and compliance.
Most AI tools hand a kid a game in 60 seconds and then nothing to come back to. Here's why long-form projects — one ambitious build, iterated over weeks — are where the real skill forms, and what to look for.
A practical, age-by-age guide to teaching kids to use AI safely — the conversations and habits that matter more than any content filter.
Why the most leveraged skill for the next generation isn't syntax — it's the ability to describe, evaluate, and iterate with AI systems.
How K-12 districts can use ESSA Title IV-A (Student Support and Academic Enrichment Grants) to fund AI literacy programs. Eligible activities, vendor alignment, and practical funding strategy.
What FERPA-alignment actually means for AI tools in K-12, what to ask vendors during procurement, and how the major K-12 AI literacy platforms compare in 2026.
How Xyplor and Code.org compare for K-12 AI literacy programs. Coverage, pedagogy, pricing, compliance, and the honest case for picking one over the other.
The design principles behind Xyplor — reflection loops, personalized journeys, a profile that compounds over time, and screen time that only counts when a kid is actually creating.