In PART 2 of my “Doing Research with AI” series, I walk you through how I use ChatGPT to write a strong literature review and a clean, persuasive research proposal—without turning it into a copy‑paste machine. I start by explaining why the literature review matters (it’s not just “summaries”; it’s synthesis), then I show how I prompt ChatGPT to help me map the field, group papers into themes, and turn messy notes into a structured narrative that actually reads like academic writing. Then I break down the core components of a research proposal—problem statement, research questions, objectives, methodology, and expected contribution—and I demonstrate a step‑by‑step workflow for drafting each part with ChatGPT. The key is controlling the outputs: I give it constraints, ask for outlines first, and iterate with targeted edits so the final draft sounds coherent and defensible. I also share practical best practices for a polished outcome: keep your citations and claims grounded in real sources, use ChatGPT as a drafting and clarity tool, and verify everything. I mention Semantic Scholar as a fast way to find relevant papers so your review and proposal stay anchored in the actual literature.