Today we've completed a major architectural shift: moving from deterministic mathematical stubs to true AI-powered verification across our core pedagogical engines.
What's New?
- Real-Time Animation Generation:The animation engine generates Hyperframes scenes with custom, context-aware visual teaching beats for any topic.
- Realistic Teaching Simulations:Our synthetic benchmarks now use LLM-backed simulations to evaluate teaching outcomes (mastery, retention, confusion) instead of algebraic approximations.
- Dynamic Learner Profiles:Learner state updates are now driven by AI-inferred pedagogical shifts based on historical performance and feedback.
- Research Paper Integration:The formal account of the Keating metaharness is now served directly in the web application with a dedicated [PAPER] section and PDF download.
teacher-flow.tape— generate a plan, then verify the output.
These changes ensure that Keating's self-improvement loop is grounded in actual semantic understanding rather than pre-baked formulas.