Complete AI Research Workflow Guide

Smart Research with AI

AI has changed how research is done. This book helps you use AI strategically in every stage of research: choosing the right tool, giving better instructions, finding stronger evidence, and preparing journal-ready manuscripts.

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AI decision matrix includedFrom topic to publication

40+Ready-to-use prompts

15Structured chapters

7Complete research phases

The Real Problem

AI Is Not the Problem. The Workflow Is.

Many researchers already use AI, but still get shallow reviews, inaccurate references, and manuscript drafts that sound like machines.

Answers Stay Too Generic

AI gives broad explanations instead of output that can support a real research question, literature review, or manuscript section.

✓

Literature Review Feels Shallow

The output becomes a list of paper summaries instead of a real synthesis of patterns, conflicts, evidence strength, and research gaps.

References Need Verification

AI can sound confident while producing inaccurate citations, unsupported claims, or references that still need careful academic checking.

Manuscript Drafts Sound Robotic

Drafts may be grammatically correct, but still feel repetitive, over-polished, vague, or disconnected from your author voice.

→

Tool Choice Feels Random

Without a decision matrix, it is hard to know when to use ChatGPT, Claude, Gemini, DeepSeek, NotebookLM, Consensus AI, or Scite.

40+

Ready-to-Use Prompts

Copy, paste, and adapt to your research context

Structured Chapters

Following the research workflow from start to finish

Research Phases

From topic mapping to journal publication

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AI Research Workflow

Stop Using AI Randomly. Follow a 7-Phase Research System.

Each phase explains which tools to use, when to use them, their limitations, and prompts you can adapt immediately.

Landscape

Define and validate a research topic, then map the wider literature landscape before going deeper.

Connected Papers - OpenAlex

Discovery

Build search strategies for PubMed, Scopus, Semantic Scholar, OpenAlex, SciSpace, and other databases.

Semantic Scholar - SciSpace - Consensus AI

Deep Screening

Screen papers, extract methods and results, and identify which studies deserve deeper reading.

SciSpace - NotebookLM - Consensus AI

Systematic Review

Manage systematic review screening and extraction using transparent, PRISMA-aware workflows.

Rayyan AI - PRISMA

Synthesis & Gap

Synthesize multiple papers, compare findings, detect conflicts, and build a stronger research gap.

NotebookLM - Scite - Claude

Data Analysis

Use AI to support data analysis, statistical interpretation, and clearer results narratives.

ChatGPT - Claude - R/Python/STATA

Writing & Publication

Write, edit, verify, and prepare IMRAD manuscripts for journal submission and peer review.

Claude - JANE - Turnitin - Scite

Inside the Book

15 Chapters Built Around Real Research Tasks

The book follows how research actually happens: from topic selection and literature review to data analysis, writing, ethics, and journal response.

Part 1

The Foundation of Better Prompting

01Why Bad Prompts Create Bad Results
02Seven Research Phases with AI

Part 2

Finding & Screening Literature

03Mapping the Research Topic Landscape
04Paper Discovery Across Platforms
05Deep Screening
06Systematic Review
07Deep Reading & Synthesis
11From Title to Complete Literature Map

Part 3

Synthesis, Analysis & Writing

08Synthesis & Finding a Research Gap
09Data Analysis with AI
10Writing to Journal Standards (IMRAD)

Part 4

Publication, Ethics & AI Strategy

12Humanizing & Editing AI Writing
13Turnitin, Plagiarism & AI Ethics
14Choosing Journals & Handling Reviewers
15AI Tool Strategy - When to Use What?

Who It's For

This Book Is Made for You If...

Researchers and postgraduate students looking for research ideas, proposals, thesis topics, or publishable manuscripts.

Doctors, residents, and health professionals who need a practical AI workflow for medical and clinical research.

Academics & researchers managing systematic reviews or meta-analyses with many references.

Anyone already using AI but still feels the output is not as deep, accurate, or useful as expected.

Author

Rizki Fauzi Suskhan, MD

Rizki Fauzi Suskhan, MD is a physician and University of Indonesia graduate with experience across 25+ conference abstracts and publications. This book translates hands-on AI-assisted medical research workflows into a practical guide for researchers who want faster work without sacrificing scientific rigor.

FAQ

Still Have Questions?

Do I need a paid subscription to Claude, ChatGPT, or Gemini?⌄

No. Chapter 15 explains a complete zero-budget strategy, so you can complete one full research cycle using a combination of free tools.

Are all prompts written in Indonesian?⌄

The explanations are written in Indonesian, while each prompt is intentionally written in English because AI tools generally produce more accurate results with English instructions.

I am not a medical researcher. Is this still relevant?⌄

The examples focus on medical and clinical research, but the prompt structure, 7-phase workflow, and AI selection strategy can be adapted to other research fields.

What format is the book?⌄

It is a digital book that can be read on a phone, tablet, or laptop anytime.

Do I need coding skills to follow this book?⌄

No. All prompts are designed to be copied directly into AI chatbots without any extra technical skill.

Ready to Make Your Research Faster and More Structured?

Get 40+ ready-to-use prompts, 15 structured chapters, and a complete AI strategy today.

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Digital book - access can be opened immediately after ordering.