Background : For years, I had a habit of writing whenever I traveled. No laptop, no apps, just a pen, a notebook, and pages of cursive observations about airports, flights, fellow travelers, and the emotions that come with being away from home. Two decades later, I decided to digitize those notebooks and make them available on Kindle, eventually publishing them as Transit Tales: Between Airports and Emotions: Travel Blog 20 Years Too Late (View on Amazon). As a first step, I assumed modern LLM-powered handwriting recognition would effortlessly convert the pages into text. Instead, the journey led to an unexpected discovery: handwriting recognition is still far from "solved." The apparent success of modern handwriting recognition is increasingly a combination of imperfect OCR and powerful language-model reconstruction. What users see is often not what the system read, but what the system inferred. Handwriting Recognition: Better Than It Looks, But Not For The Reason You Think ...