---
title: "Surendranath Reddy Jillella (@jsnreddy) | Hashnode"
description: "Surendranath Reddy Jillella (@jsnreddy) writes on Hashnode. Read their latest articles and follow their work."
url: "https://hashnode.com/@jsnreddy"
---

@jsnreddy

# Surendranath Reddy Jillella

@jsnreddy · Hyderabad, India · Joined September 2026

## Comments

[Fair point on tokenisation hiding typos, though it does not quite apply to Jev itself since it is not generating text token by token; it returns a fixed schema field per call. Where this could actually bite us is one step earlier: we generate the screen description with a separate LLM (Bonsai) before Jev ever sees it, so tokenisation weirdness there could bleed into Jev's classification. We did not isolate for that in this experiment; it's worth checking against the "others" misses specifically. Do you have a specific case in mind, or a tool you use for that raw character vs token view comparison?](https://hashnode.com/posts/we-tested-typesafe-ai-s-jev-on-screen-classification-20x-faster-153x-cheaper-and-noticeably-less-accurate/6ab50209fa7bc60019226461/comment/6ab55470eb468b3189e2fc04#reply-6ab620a9252825a2d1d85d58)

Reply · Article · Sep 25 · [We Tested TypeSafe AI's Jev on Screen Classification: 20x Faster, 153x Cheaper, and Noticeably Less Accurate](https://hashnode.com/posts/we-tested-typesafe-ai-s-jev-on-screen-classification-20x-faster-153x-cheaper-and-noticeably-less-accurate/6ab50209fa7bc60019226461)