The Deep AI Detector blog
Research notes, accuracy benchmarks, and practical how-to guides for AI content detection. Written for educators, editors, publishers, and developers who need detection that holds up. Subscribe to get the first posts when they land.
What we're writing about
- Catching paraphrased AI: a benchmark — how Deep AI Detector finds AI rewrites that other detectors classify as 97%+ human.
- Training on 2 billion+ samples: what it actually means — why corpus size matters more than model size for detection accuracy.
- Defending a verdict in academic appeals — how to use per-sentence highlights in an integrity hearing.
- Multilingual AI detection that just works — paste in any of 20+ languages, get a verdict for the original text.
- What "honest about edge cases" actually means — when we refuse to give a confident verdict, and why that's the right call.
- Building AI detection into your product — a developer's guide to the REST API, webhooks, and bulk batch endpoints.
Who reads Deep AI Detector content
- Teachers and academic integrity offices looking for evidence-backed approaches to suspected AI-assisted student submissions.
- Editors and publishers needing repeatable processes for verifying freelance copy and submitted manuscripts.
- Content teams and agencies auditing freelance writer output against AI-disclosure clauses.
- Platform trust + safety leads deploying AI detection at scale against AI-generated reviews and UGC.
- Developers integrating AI detection into existing apps and workflows through the REST API.