Introduction sections have a specific job: establish what’s known, what’s unknown, and why your paper addresses the gap. This narrative structure is standardized but requires accurate synthesis of existing literature. AI helps with the structure and flow — the literature accuracy requires your knowledge.
The Standard Introduction Structure
Most field introductions follow this pattern: broad context (why does this topic matter?), narrowing to the specific problem (what specifically is unknown?), current state of knowledge (what has been tried?), the gap (what specifically is missing?), your approach (how does your paper address the gap?), paper overview (brief preview of sections). Ask Claude to generate this structure for your paper: give it your research question and a brief description of what your paper does, and ask it to outline what each paragraph of the introduction should accomplish.
Reverse-Engineering the Gap Statement
The gap statement is the pivot of every good introduction — the transition from “here’s what we know” to “here’s what we still don’t know and why your paper exists.” Most researchers write the gap statement last, but it’s more useful to identify it first and write the introduction toward it. Tell Claude your paper’s main contribution and ask: “Write the gap statement this contribution implies — what does the field not currently know that this paper addresses?”
Checking Logical Coherence
Paste your draft introduction and ask: “What logical steps in this introduction are missing? Is the transition from broad context to specific gap coherent? Does the paper’s contribution logically follow from the gap stated?” This structural check catches introductions that don’t build to a clear justification for the paper’s existence — the most common reason introduction sections fail peer review.
Word Economy
Introductions accumulate unnecessary padding — qualifications that don’t add precision, context that every reader already knows, transitions that don’t carry logical weight. Ask Claude: “Identify sentences in this introduction that could be cut without losing essential information. How many words could be removed while preserving all necessary content?” Most introductions can be reduced by 15–25% without losing information.
