Author name: Mainul Sunvi

Note: This post explains how modern browser APIs and runtimes (WebGPU, WebAssembly) plus projects like WebLLM make it possible to run large language models (LLMs) client-side — improving privacy, latency, and resilience for web apps. Introduction — why in‑browser LLMs matter now For years most AI experiences relied on cloud inference: send prompts to a

Note: This article explains how modern browser APIs and lightweight infrastructure let developers run LLM-driven features on the client (privacy-preserving inference) and combine that with vector search for fast, secure retrieval. It focuses on practical architecture, tools, and trade-offs for building production web apps. Why on‑device LLMs matter for modern web apps Running language models

Product ReviewFree Tool· 7 min read Stop Making Diagrams Manually – Napkin AI Does It in Seconds A full walkthrough of one of the most underrated AI tools of 2026: what it does, how to use it, and whether it’s worth adding to your workflow. Watch the full review https://www.youtube.com/watch?v=N0cNTWPBOVs8.7Overall Score Rating Breakdown Ease of