Unrestricted AI use destroys voice and hides the thinking and reasoning people need to assess. This hands-on workshop shares a tested scaffold utilizing curated and delimited AI to make thinking visible again without defaulting to surveillance. Using a structured integration model aligned with AP Lang, Seminar, and Research, but applicable to other contexts, participants will actively experience how prompt design, reflection checkpoints, and constrained AI interactions reveal cognitive moves during drafting and AI use in general. Built around the TRACE model, this approach leverages intentionally limited AI tools including Elicit, SciSpace, Mizou, MirrorTalk, Lex.page, and NotebookLM to preserve writer agency while providing clearer evidence of learning and understanding these systems. Participants will engage in interactive activities that demonstrate how constrained prompting, ethical tool use, and process-based checkpoints strengthen argument quality, improve feedback, and make reasoning easier to assess. Attendees will leave with adaptable scaffolds, prompt structures, and reflection routines designed to support authentic writing instruction in an AI-rich environment.
