AI Tools and LLMs in QA — Spotting Real Fluency vs. the Buzzword

Every QA candidate says they "use AI" now. Some genuinely built it into how they work. Others tried ChatGPT once and added it to their resume. If you can't tell the difference, you can't screen for it.This guide fixes that.AI Tools and LLMs in QA teaches technical recruiters what AI actually means in a testing context, which tools matter, and how to tell real fluency from buzzword padding.What's inside:- What LLMs and AI tools actually do in QA — in plain terms- The tools that matter — and what using them really signals- Real AI fluency vs. surface-level claims — how to tell them apart on a screen- The questions that separate genuine AI-augmented testers from pretenders- Green flags and red flags in how candidates talk about AI- A Practice Session — real recruiter-to-candidate scripts for screening AI claimsThis is Volume 3 of the QA Recruiter Guide Series. If you're new to QA, start with the Technical Primer (Volume 1) first.Written by Jonathan Hofler, a Senior AI-Augmented Test Engineer with 10+ years in QA and the creator of QA Smith AI.

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