The moment you hit “regenerate” and watch a 30‑second spinner eat your momentum, the allure of AI‑generated lecture notes evaporates. When the latency drops to a barely‑noticeable blink, the same tool becomes a collaborator instead of a bottleneck. Until now, pushing a generative model through a full HTML or LaTeX pipeline meant waiting minutes for the next preview. Classic zero‑shot HTML generators churn out static pages, while LaTeX OCR pipelines spit out raw code that often fails to compile. The result is a broken feedback loop that forces authors back to manual edits. MAIC‑UI tackles the latency head‑on with a “generate‑verify‑optimize” loop that separates content alignment from visual polishing. By slicing edits into unified diffs and only re‑generating the changed fragment, the system delivers “Click‑to‑Locate editing with Unified Diff‑based incremental generation achieving sub‑10‑second iteration cycles” [1] .…