We use AI to generate K-5 learning content, but every single output is teacher-vetted before publishing sharing our pipeline.
- Published
- 09/04, 09:26
- First discovered
- 09/04, 15:00
- Type
- Dev community · RSS
A company generating K-5 learning content utilizes AI, but every output undergoes teacher vetting before publication. They emphasize that their curriculum was designed over two years with government school teachers prior to AI integration. The company, which is 100% leveraged on AI, seeks community input on the "AI-leveraged but human-gated" model for high-stakes content, questioning if full automation is ever appropriate for children's education or if human involvement should remain permanent.
Quick context: we're not really an "AI company" in the pure sense, we're 100% leveraged on AI, but the curriculum itself was designed over two dedicated years directly with government school teachers, before any generation engine touched it.
The actual pipeline: AI content generation engine drafts questions/worksheets → every single question is hand-curated and teacher-vetted → templates themselves were built by curriculum developers, not engineers. Even TTS output and UI copy goes through the same vetting layer.
We still added a report button in-product, because humans reviewing at scale still miss things occasionally ,wanted a fast correction loop instead of pretending the system is perfect.
Curious how this community thinks about "AI-leveraged but human-gated" as a model for high-stakes content generation (kids' education being about as high-stakes as it gets), is full automation ever the right goal here, or should human-in-the-loop stay permanent for this category?