Teachers worry that students will use AI chatbots to write their literature essays, and the concern is especially acute for assigned books. Ljudi govore, however, is not a text that general-purpose chatbots handle well, since its fragmentary structure and limited English-language criticism leave tools with little reliable material. This makes weaknesses in AI-generated essays on the book easier to notice, provided you know where to look.

One common sign is vagueness about the text itself. An essay may describe the book in generalities about hardship, memory, and community without citing any identifiable passage. Another sign is invented detail, such as characters, events, or quotations that do not appear in the book.

A third sign is a mismatch between the polish of the prose and the thinness of the analysis. Essays that read smoothly but say little about specific language, speakers, or structure should prompt a closer look. None of these signs is proof, and teachers should treat them as reasons to ask questions rather than as grounds for accusation.

Design Assignments That Require Engagement With the Text

The best defense is an assignment that demands close engagement with the book. Require students to analyze specific passages, to cite page numbers from a designated edition, and to connect their analysis to class discussion. Tasks that depend on particular moments in the text are far harder to fake than general essays about themes.

• Assign passages discussed in class so analysis must reflect shared reading
• Require page references to a specified edition
• Ask for a brief process note describing how the essay developed
• Include a short in-class writing component
• Hold brief conferences where students explain their arguments aloud

Respond Fairly When You Have Concerns

If an essay raises suspicion, begin with a conversation instead of a penalty. Ask the student to explain a passage they cited or to describe how they developed their thesis. Students who wrote the essay can usually do this easily, while others will struggle in revealing ways.

Avoid relying solely on AI detection software, which can produce false positives and unfairly target certain writers, including multilingual students. Combine multiple forms of evidence, such as drafts, notes, and conversations. Fair processes protect students who did their own work.

Set Clear Policies on Permitted Use

Ambiguity breeds problems, so state clearly what is and is not allowed. Some teachers permit AI for brainstorming or grammar checks while prohibiting it for drafting arguments, while others ban it entirely. Whatever your policy, explain the reasoning and give examples of acceptable and unacceptable use.

Students who understand the purpose of the assignment, which is to develop their own analytical skills, are more likely to respect the boundaries. Discuss why writing about a difficult book builds thinking that cannot be outsourced. Framing the policy around learning rather than punishment improves compliance.

Use Grading Data to Spot Anomalies

Consistent rubric-based grading makes it easier to notice work that does not fit a student's earlier patterns. A sudden jump in polish without corresponding growth in analysis, for example, may warrant a conversation. Tracking performance across assignments gives you context that a single essay cannot.

AI-assisted grading tools can support this by applying consistent criteria and highlighting essays that are generic or lack textual specificity. The teacher still interprets the results and decides how to respond. Used carefully, these tools help teachers focus on the cases that need attention without presuming guilt.