How to Write Introduction in Research Paper | Chapter 1 Guide With ChatGPT Prompt

A ready-to-use AI prompt workflow is presented for drafting Chapter 1.0 “Introduction” in a research paper, with the key promise that the model can generate a complete introduction once it receives six specific inputs. The approach matters because it targets a common bottleneck in academic writing—turning a rough topic into a properly structured opening section—while keeping the scope narrow: it focuses on the basic introduction only, not background, research questions, objectives, or rationale.

The method starts with an instruction block that tells the AI to collect the necessary details first, then produce the introduction according to defined structural and citation requirements. The prompt is described as part of a larger “fully automated” research-writing system (marketed as applicable even at PhD dissertation level), but the excerpt shown is tailored specifically to Chapter 1.0 “Zero introduction.” The presenter emphasizes that this section is intentionally limited: it is “just the basic first introduction,” explicitly excluding background of studies, research questions, objectives of the study, and rationales.

Next comes the chapter-specific instruction, which is copied into an AI chat interface (named as “chipity” and “DeepSeek” in the transcript). Before writing begins, the prompt instructs the AI to request six pieces of information: (1) research topic, (2) case study (if applicable), (3) target population, (4) data, (5) data collection method, (6) type of study, and (7) referencing style. The transcript then provides an example set of answers. The example topic is “gender differences in life event stress and workers productivity in Oshim South Delta State,” with the case study tied to “Oshimilly South Delta State.” The target population is given as 205,600. For data collection, the example uses a mixed-method approach combining questionnaires and semi-structured interviews, and the study type is described as correlation.

After the user submits these details, the AI is expected to generate the Chapter 1 introduction automatically, with no additional user editing required beyond providing the inputs. The workflow also includes guidance on how to obtain the full prompt package (via download links mentioned in the comments or description) and frames the prompt engineering as “programmatic,” likening it to software development practices.

Finally, the transcript adds two additional claims: prompts are available to “bypass any kind of AI detectors” (including Turnitin), and the system can be used free of charge on platforms like DeepSeek without subscription fees. The overall takeaway is a structured, input-driven prompt that produces a constrained, Chapter 1.0 introduction section—fast—so long as the researcher supplies the specified topic, population, methods, and citation style.