AI Detection Guides
Browse our comprehensive library of AI detection guides organized by industry, AI tool, and content type.
AI detection needs vary widely by context. A journalism editor verifying a freelance submission, a teacher reviewing a student essay, a hiring manager screening a cover letter, and a content platform flagging automated submissions all need different things from a detector. The guides below organize our detection knowledge along three dimensions — industry, AI tool, and content type — so you can find the guide that matches your specific situation.
Every guide covers the same fundamentals: how EyeSift's detection works for that specific combination, the statistical signals that apply, the known limitations and false-positive patterns, and how to use the detection result responsibly as one input in a larger decision process rather than as an automated verdict. Detection is probabilistic, not deterministic, and the goal of every guide is to help you make better decisions, not outsource them to a tool.
All detection tools on EyeSift are free. No sign-up, no per-analysis limits, no data retention. Content you submit for analysis is processed and immediately discarded — we cannot see it, we never store it, and it is never used for model training. See our Privacy Policy for the full data-handling disclosure.
High-Stakes AI Tool + Industry Guides
These guides cover the review contexts where a detector score must be paired with source checks, policy review, and human judgment: legal, finance, healthcare, education, and research.
By Industry
By AI Tool
By AI Tool + Content Type
These focused guides connect newer model families with the real documents people check most often, including job descriptions, grant proposals, LinkedIn posts, X posts, and Wikipedia-style articles.