Peer review is one of the most effective ways to improve student writing, yet it often falls flat because students do not know what to say. A classmate might write "good job, maybe add more details" and consider the task finished. In a workshop built around Day by Day Armageddon, that kind of vague feedback wastes valuable class time and leaves writers with little to act on.

Structure is the fix. When peers respond to specific prompts tied to the rubric, such as identifying the thesis, locating the strongest piece of evidence, and noting where the analysis feels thin, their comments become far more useful. The checklist also gives reviewers a clear job, which reduces the awkwardness many students feel about critiquing a friend.

AI-generated feedback can add another layer without replacing the human conversation. A student can receive rubric-aligned comments on a draft, then bring those comments to a peer discussion to talk about what they mean and how to apply them. The combination gives writers both a consistent baseline and a human perspective.

Design the workshop in stages

A well-run workshop usually moves through a predictable sequence. Students begin by self-assessing their draft against the rubric, then receive automated feedback, then exchange papers with a partner for a focused review. Each stage builds on the previous one, so that by the time the teacher reads the paper, the most obvious issues have already been addressed.

• Students mark their own thesis and best evidence before sharing
• AI feedback highlights strengths and one or two priorities
• Partners respond to three rubric-based questions
• Writers create a short revision plan from all the comments
• The teacher reviews a sample and conferences with those who need help

Teach students how to give useful comments

Before the workshop, model the difference between helpful and unhelpful comments using a sample paper. Show how "your evidence in paragraph two doesn't connect to your thesis; what is the link?" is more actionable than "needs more." Students often rise to the standard once they see it demonstrated.

Sentence starters can also help, such as "One thing that confused me was" or "Your strongest evidence is". These small supports lower the barrier to specific feedback and keep the conversation moving. Over time, students internalize the habits and rely on the prompts less.

Keep AI use transparent and purposeful

Be clear with students about what the AI feedback is and what it is not. It is a tool for identifying strengths and areas to improve, not a substitute for their own thinking or a source of text to paste into the essay. Explaining this builds trust and keeps the focus on learning.

Establish simple rules about how students may use the comments, such as requiring them to explain in their own words what they changed and why. This keeps authorship firmly with the student and gives you a window into their revision process. It also guards against over-reliance on any single source of feedback.

Measure whether the workshop worked

Compare early drafts with final submissions across a few papers to see whether the workshop improved the targeted skills. If thesis statements are sharper and evidence is better explained, the structure is working. If not, adjust the prompts or add a short minilesson on the weak area.

Gather student reflections as well, asking which part of the process helped them most. Their answers often reveal practical improvements you would not have considered. Refining the workshop each time you teach the unit makes it more effective and more efficient.