Teaching Under Suspicion: A Career Survival Guide for Teachers
Two districts. Two opposite headlines. Same week in September 2026 — one banning AI in classrooms, another mandating it. Neither one tells you what to do on Monday morning.
If you teach sixth through twelfth grade, you're already living in that gap: expected to catch AI-generated cheating with no reliable tools, adopt whatever AI mandate lands on your desk next, and somehow prove — to parents, to administration, to a public conversation that keeps asking the question out loud — that you're still worth what you cost.
Teaching Under Suspicion is not another "AI tools for teachers" productivity guide. It's a career-survival guide, written for the teacher who has to make the actual judgment calls this year — fairly, defensibly, and without losing a family's trust or their own job in the process.
Inside, you'll find:
- The TRACE Method — a five-step, evidence-based way to evaluate suspected AI-generated student work, built to replace the unreliable detector scores everyone's learned not to trust
- The FAIR Conversation — word-for-word scripts for the hardest conversations of the year: the student meeting, the upset-parent conference, and closing out a case that turns out to be unfounded
- Assignment-proofing strategies that lower how often you have to play detective in the first place
- A clear-eyed framework for adopting (or declining) AI tools without quietly working yourself into a bigger workload — or a smaller position
- Scripts for managing up when administration demands the impossible, with no training and no timeline
- A "value log" system for documenting the specific, human work that makes you the teacher no mandate can replace
Includes a full ready-to-use toolkit: baseline writing-sample templates, an assignment redesign checklist, fill-in conversation scripts, email templates, a documentation log, and a glossary of AI-in-education terms..


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