Shipping LLM-Generated Bedtime Stories to 4-Year-Olds: How Do You Make It Safe?
Miserable-Shock3552 · reddit · 2026-10-24
A solo developer building an iOS app that generates and reads a new serialized bedtime story to kids aged 3-9 every night—with no human review, the child hears whatever the model writes—asks how to make that safe. His current stack: hard rules in the system prompt (no violence, no scary endings, no adult themes), a second cheap model pass classifying each episode as ok/rewrite, and a short blocklist. The subtle misses aren't bad words but emotionally wrong content—a character getting lost and never found, a parent 'going away'—fine for adults, bad at 8pm for a 4-year-old. He asks peers: trust a classifier or constrain generation so hard risk mostly vanishes? How do you build an eval set for 'emotionally off' rather than 'unsafe'? And what's the fallback when a check fails with no time to regenerate? Useful for anyone shipping LLM output to kids or other sensitive audiences.
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