Builder Cuts Working-Memory Check Costs from ~$250K to ~$2K with Jev
iamrobotbear · x · 2026-09-22
Education builder AustinWay breaks down the real cost structure of AI-personalized education: generating lessons is only 5% of content cost — the other 95% goes to validation and improvement. The biggest expense is checking whether a lesson overloads a student's working memory, which gets incredibly expensive across a full catalog with frontier models.
The numbers: at current scale, even with Astra using half as many tokens as Jev, it would cost $250,000; with Jev, $2,000 — a 100x+ gap.
He open-sourced the working-memory check tool (Working-Memory-Jev), which runs on localhost against the real Jev API to flag where instructional text demands too many simultaneous ideas. Free for individuals and non-commercial use.
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