A community college composition instructor spent the fall semester adding "no AI tools" to every assignment sheet. By November she had received three student appeals, discovered that her AI-detection software had flagged a student who wrote in English as a second language, and watched a student who genuinely struggled get zero credit on a paper that was largely their own work. By December she had a policy that generated more conflict than it prevented. She did not have the wrong instinct. She had an unworkable tool.

You have now addressed the two most structurally important institutional questions: what data should not go into Claude, and what student use looks like when it is designed rather than banned. The next chapter steps back from the classroom to the faculty workday , the writing, advising, research, and administrative work that teaching professionals do alongside their teaching. Claude can assist there too, with the same discipline: human judgment, output verification, and awareness of where the work must remain yours.

You have now addressed the two most structurally important institutional questions: what data should not go into Claude, and what student use looks like when it is designed rather than banned. The next chapter steps back from the classroom to the faculty workday , the writing, advising, research, and administrative work that teaching professionals do alongside their teaching. Claude can assist there too, with the same discipline: human judgment, output verification, and awareness of where the work must remain yours.