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Write Your Literature Review in Weeks, Not Months A structured AI workflow to find, read, analyse, and write your literature review — systematically, ethically, and using free tools.

📦 5 modules 🎬 35+ videos ✅ One complete system ♾️ Lifetime access

Start the Workflow Designed for master's students, PhD candidates, and researchers across any discipline. Instant access · 14-day money-back guarantee · Free tools only

"I only wish all of these tools and your method had been available in my first year." Busra — Final-year PhD student @ UCL

The AI Literature Review Workflow

Research Topic — You start with your research question, however broad or narrow.

AI Super Prompt — ChatGPT transforms your topic into an optimised prompt that guides the AI agent toward comprehensive results.

Structured Literature Synthesis — Edison Scientific's Falcon returns a full literature review draft with ranked references and search queries, typically within 20–30 minutes.

Seed Paper Extraction — You pull the highest-quality papers, Boolean search strings, keywords, and theoretical frameworks from the AI output.

Citation Mapping — Research Rabbit runs forward, backward, and lateral searches from your seed papers — surfacing work that keyword searches alone miss.

Research Database — Every paper is processed through NotebookLM and entered into the pre-built Notion template — a living, searchable database of your entire landscape.

Comparative Analysis — Notion AI compares findings across 30–50 papers, maps contradictions, and surfaces genuine research gaps.

Structured First Draft — Your database generates the first draft of each section — grounded in your own notes, your critical judgments, and proper citations.

See what's inside the course ↓

You already know the problem.

If you are here, you have probably experienced some version of this:

✕ Random keyword searches that go nowhere.

✕ PDFs piling up without a system.

✕ Re-reading papers you have already processed.

✕ A quiet worry that you may have missed the paper that changes everything.

The traditional approach works.
Eventually.
But it is slow, scattered, and stressful.

Which means you spend weeks building a literature base you cannot fully trust.
Which means the research gap you identified might not hold up, and you would not know until it is too late.

This is a systems problem. And this course gives you the system.

Before vs. After

❌ Without the System

✅ With the System

4–8 weeks of scattered searching

Under 1 hour with AI-generated synthesis

Keyword guessing, repeated with different terms

AI-generated starting point followed by targeted expansion

Folders of PDFs, scattered highlights, notes in multiple apps

Centralised Notion research database with automated tracking, filtering, and structured fields

Manual reading and forgotten highlights

AI-assisted extraction via NotebookLM — key contributions, methods, and limitations in minutes

Uncertain research gap

Data-driven: comparative analysis across 30+ papers reveals patterns and contradictions

"I think I covered everything"

"I have a verified, systematic record of my entire research landscape"

"Coming from a professional background, I was overwhelmed with the academic workload. After the course, I feel it is quite achievable. It definitely exceeded my expectations."

Dunel

1st year Phd student
Shanghai University

"I only wish all of these tools and your method had been available in my first year. They make the whole process feel much more manageable and help avoid that breathless feeling of being stuck in an overwhelming literature cycle."

Beyza

Final year PhD student
University College London

”I started to use NotebookLM after exploring that in your video. It's amazing for gap detection as you mentioned. ..."

@sumeyyayeaykutsönmez

Youtube viewer

"Thank you for taking the time to make this video and help other students! its not only super informative but very aesthetic! :-D really appreciate people like you for taking the time to make this infromation readily available :-)))"

@michalia_teh

Youtube viewer

"You saved my whole nervous system 😘 thank you!!"

@nicolekrzyzanowski2952

Youtube viewer

I love using hyphens and semicolons—no wonder that my professors think I’m using AI. I ended up binge watching YouTube videos trying to figure out why this keeps happening because I've been fed up, and this is the most helpful one I’ve found for critiquing my writing. Thank You

@ShoyaKen

Youtube viewer

Everything inside the course.

Component	What It Includes	Why It Matters
5 Modules	Full literature review process — fundamentals through final writing	Complete end-to-end system, not disconnected tips
35+ Video Lessons	~3 hours of focused instruction, no filler	Learn the full workflow in a single focused day
AI Prompt Library	Every prompt used in the course, copy-paste ready	Skip the trial and error — use tested, optimised prompts
Notion Template	Pre-built literature tracker with automated fields, reading timelines, keyword filtering	Your database builds itself as you work — organise 100+ sources clearly
Workflow Guides	Step-by-step sequences across ChatGPT, Edison Scientific, Research Rabbit, NotebookLM, Notion AI	Know exactly which tool to use, when, and how they connect
Pre-Submission Checklist	Structure, citations, academic tone, plagiarism checks	Submit with confidence, not anxiety
Lifetime Access	All current and future updates	Use the system for every literature review in your career

"The content is clear, practical, and easy to adapt to different research fields." Busra · Final-year PhD Student (UCL)

Why I built this

Aynur — Chemical Engineering PhD Candidate

AYNUR ATALAY Chemical Engineering PhD Candidate

I built this course because I needed it myself. I am a final-year Chemical Engineering PhD candidate at a top 10 university globally. I have spent years working inside academic literature — reading hundreds of papers, navigating complex citation networks, and building the kind of structured research arguments that PhD-level work demands. When I started my literature review, I did everything the traditional way. I searched Google Scholar with keywords I thought were right, downloaded hundreds of papers, highlighted things I would later forget, and spent weeks building a literature base I could not fully trust. The problem was never effort or ability. It was the absence of a repeatable system. The turning point came when I realised that structure matters more than intelligence when you are working across hundreds of papers in a complex field. Once I developed a workflow using AI-generated starting points, mapping tools for systematic expansion, and a structured database to capture everything, the process changed completely. I have since shared this approach with hundreds of thousands of researchers through my academic content. But scattered tips are not a system. What I needed, and what I think you need, is the full workflow, end to end, in one place.

Every workflow respects ethical AI usage. Every core tool is free. Every step keeps you in control of the critical thinking. AI does not write your review. It accelerates the process of building one.

Here is what you can realistically expect.

No inflated claims. These are conservative estimates based on the workflow design:

✓

Reduce initial search and organisation time by 40–70% — by starting with an AI-generated synthesis instead of blank keyword searches.

✓

Process 2–3x more papers per week — using NotebookLM's structured extraction instead of manual reading and annotation.

✓

Compare 30–50 papers in a single analysis session — using Notion AI comparative prompts across your full database.

✓

Organise 100+ sources without losing track — using the pre-built Notion template with automated filtering, timelines, and fields.

The exact results depend on your discipline, your existing skills, and how thoroughly you implement the system. But the workflow is designed to eliminate the biggest bottlenecks in the traditional approach.

What the course covers

1

Literature Review Fundamentals What a literature review is — and is not. Three core functions, structural approaches, and a three-pass reading method. Experienced researchers can skip this. Newer researchers: this is the foundation.

2

Finding and Ranking Literature with AI ChatGPT prompt engineering → Edison Scientific's Falcon synthesis → seed paper extraction → Research Rabbit citation mapping → Google Scholar verification. Result: a comprehensive, ranked literature collection.

3

Reading, Understanding, and Building Your Database NotebookLM as your reading companion. Upload papers, extract structured insights in minutes. Everything feeds into the Notion template. Comparative prompts for analysing dozens of papers at once.

4

Comparative Analysis and Gap Identification Notes become critical synthesis. Notion AI compares findings across all papers, maps contradictions, surfaces gaps, and helps define your angle. You leave with drafted sections.

5

Writing and Polishing Your Literature Review Database becomes publication. Structure your review, draft sections from notes, refine language, run plagiarism and citation checks. Ready for submission.

Who this is NOT for.

×

Students who want AI to write their thesis. This teaches AI as a research assistant, not a ghostwriter. You still read, evaluate, and synthesise.

×

Researchers unwilling to engage with papers. The system makes reading faster and more targeted. It does not eliminate reading.

×

Undergraduates writing short essays. This is built for postgraduate-level reviews requiring systematic coverage across dozens or hundreds of papers.

×

Researchers who already have a workflow they are happy with. If you have a working system and no interest in AI tools, this course is not trying to convince you otherwise.

Common questions

Is this cheating?

No. AI helps you find, organise, and analyse literature. You still provide the critical thinking, evaluation, and synthesis. The course specifically teaches ethical AI usage and maintains academic integrity throughout the workflow.

Will my university allow this?

The course focuses on research assistance: finding papers, reading comprehension, note organisation, and pattern recognition. It does not teach AI to generate original claims or replace your academic judgement. This distinction is built into every workflow.

Are these tools expensive?

No. Every core tool used in the workflow is either free or offers a free tier that is sufficient for most students. The workflow uses tools such as Edison Scientific, Research Rabbit, NotebookLM, Notion Education, and ChatGPT’s free tier. The system was designed so students are not priced out.

Is this too basic if I have already started?

Not at all. Module 1 can be skipped if you already understand literature review fundamentals. Modules 2–5 improve the process even if you are already deep into your review. Many researchers use the workflow to reorganise existing work, identify gaps more clearly, and save significant time.

Is this just repackaged free information?

The tools are public. The workflow is not. The value is in how the tools connect together: the prompt sequences, the Notion template, the literature review database, and the step-by-step process from search to submission. This is a complete system, not a collection of tool tutorials.

Real Messages From Students And Researchers Not curated testimonials. Actual emails and messages from people who purchased the course.

Write Your Literature Review in Weeks, Not Months A structured AI workflow to find, read, analyse, and write your literature review: systematically, ethically, and using free tools.

📦5 modules 🎬35+ videos 1️⃣Complete system ♾️Lifetime access

Start the journey ↓ Designed for master's students, PhD candidates, and researchers across any discipline. Instant access · 14-day money-back guarantee Free tools only ★★★★★ Used by researchers across 20+ countries · 0% refund rate to date

The AI Literature
Review Workflow

🔍 Research Topic

🤖 AI Super Prompt

📄 Structured Literature Synthesis

🌱 Seed Paper Extraction

🔗 Citation Mapping

🗄️ Research Database

⚖️ Comparative Analysis

✍️ Structured First Draft

See What's Inside The Course ↓

You already know the problem

If you are here, you have probably experienced some version of this:

✕

Random keyword searches that go nowhere.

✕

PDFs piling up without a system.

✕

Re-reading papers you have already processed.

✕

A quiet worry that you might have missed something important.

The traditional approach works.
Eventually.
But it is slow, scattered, and stressful.

Which means you spend weeks building a literature base you cannot fully trust.
Which means the research gap you identified might not hold up — and you would not know until it is too late.

This is a systems problem.
And this course gives you the system.

Before vs. After

❌ Without the System

✅ With the System

4–8 weeks of scattered searching

Under 1 hour with AI-generated synthesis

Keyword guessing, repeated with different terms

AI-generated starting point followed by targeted expansion

Folders of PDFs, scattered highlights, notes in multiple apps

Centralised Notion research database with automated tracking, filtering, and structured fields

Manual reading and forgotten highlights

AI-assisted extraction via NotebookLM: key contributions, methods, and limitations in minutes

Uncertain research gap

Data-driven: comparative analysis across 30+ papers reveals patterns and contradictions

"I think I covered everything"

"I have a verified, systematic record of my entire research landscape"

❌4–8 weeks of scattered searching

✅Under 1 hour with AI-generated synthesis

❌Keyword guessing, repeated with different terms

✅AI-generated starting point followed by targeted expansion

❌Folders of PDFs, scattered highlights, notes in multiple apps

✅Centralised Notion research database with automated tracking, filtering, and structured fields

❌Manual reading and forgotten highlights

✅AI-assisted extraction via NotebookLM: key contributions, methods, and limitations in minutes

❌Uncertain research gap

✅Data-driven: comparative analysis across 30+ papers reveals patterns and contradictions

❌"I think I covered everything"

✅"I have a verified, systematic record of my entire research landscape"

Testimonials 🙌🏻

"

I only wish all of these tools and your method had been available in my first year. They make the whole process feel much more manageable and help avoid that breathless feeling of being stuck in an overwhelming literature cycle.

Beyza Final-year PhD student
University College London

"

Coming from a professional background, I was overwhelmed with the academic workload. After the course, I feel it is quite achievable. It definitely exceeded my expectations.

Dunel 1st-year PhD student
Shanghai University

"

I recently purchased your lesson on literature reviews, and I'd like to thank you. It has been incredibly helpful. I'm confident your videos will help me work more efficiently and strategically.

Raissa Incoming PhD student
National University of Singapore

Everything inside the course.

Component	What It Includes	Why It Matters
5 Modules	Full literature review process: fundamentals through final writing	Complete end-to-end system, not disconnected tips
35+ Video Lessons	~3 hours of focused instruction, no filler	Learn the full workflow in a single focused day
AI Prompt Library	Every prompt used in the course, copy-paste ready	Skip the trial and error: use tested, optimised prompts
Notion Template	Pre-built literature tracker with automated fields, reading timelines, keyword filtering	Your database builds itself as you work: organise 100+ sources clearly
Workflow Guides	Step-by-step sequences across ChatGPT, Edison Scientific, Research Rabbit, NotebookLM, Notion AI	Know exactly which tool to use, when, and how they connect
Pre-Submission Checklist	Structure, citations, academic tone, plagiarism checks	Submit with confidence, not anxiety
Lifetime Access	All current and future updates	Use the system for every literature review in your career

1 of 7 5 Modules What it includes Full literature review process: fundamentals through final writing. Why it matters Complete end-to-end system, not disconnected tips.

2 of 7 35+ Video Lessons What it includes ~3 hours of focused instruction, no filler. Why it matters Learn the full workflow in a single focused day.

3 of 7 AI Prompt Library What it includes Every prompt used in the course, copy-paste ready. Why it matters Skip the trial and error: use tested, optimised prompts.

4 of 7 Notion Template What it includes Pre-built literature tracker with automated fields, reading timelines, and keyword filtering. Why it matters Your database builds itself as you work: organise 100+ sources clearly.

5 of 7 Workflow Guides What it includes Step-by-step sequences across ChatGPT, Edison Scientific, Research Rabbit, NotebookLM, and Notion AI. Why it matters Know exactly which tool to use, when, and how they connect.

6 of 7 Pre-Submission Checklist What it includes Structure, citations, academic tone, and plagiarism checks. Why it matters Submit with confidence, not anxiety.

7 of 7 Lifetime Access What it includes All current and future updates. Why it matters Use the system for every literature review in your career.

"The content is clear, practical, and easy to adapt to different research fields." Beyza · Final-year PhD Student (UCL)

Why I built this

AYNUR ATALAY Chemical Engineering PhD Candidate

I built this course because I needed it myself. I am a final-year Chemical Engineering PhD candidate at a top 10 university globally. I have spent years working inside academic literature: reading hundreds of papers, navigating complex citation networks, and building the kind of structured research arguments that PhD-level work demands. When I started my literature review, I did everything the traditional way. I searched Google Scholar with keywords I thought were right, downloaded hundreds of papers, highlighted things I would later forget, and spent weeks building a literature base I could not fully trust. The problem was never effort or ability. It was the absence of a repeatable system. The turning point came when I realised that structure matters more than intelligence when you are working across hundreds of papers in a complex field. Once I developed a workflow using AI-generated starting points, mapping tools for systematic expansion, and a structured database to capture everything, the process changed completely. My review went from a source of constant anxiety to something I could manage with clarity and confidence. I have since shared this approach with hundreds of thousands of researchers through my academic content. But scattered tips are not a system. What I needed, and what I think you need, is the full workflow, end to end, in one place. That is what this course is. And importantly, it does so without compromising academic integrity.

Every workflow respects ethical AI usage. Every core tool is free. Every step keeps you in control of the critical thinking. AI does not write your review. It accelerates the process of building one.

Here is what you can
realistically expect.

No inflated claims. These are conservative estimates based on the workflow design:

✓

Reduce initial search and organisation time by 40–70%: by starting with an AI-generated synthesis instead of blank keyword searches.

✓

Process 2–3x more papers per week: using NotebookLM's structured extraction instead of manual reading and annotation.

✓

Compare 30–50 papers in a single analysis session: using Notion AI comparative prompts across your full database.

✓

Organise 100+ sources without losing track: using the pre-built Notion template with automated filtering, timelines, and fields.

40–70% Less initial search and organisation time Start with an AI-generated synthesis instead of blank keyword searches.

2–3x More papers processed per week Use NotebookLM's structured extraction instead of manual reading and annotation.

30–50 Papers compared in one analysis session Use Notion AI comparative prompts across your full research database.

100+ Sources organised without losing track Use the pre-built Notion template with automated filtering, timelines, and fields.

The exact results depend on your discipline, your existing skills, and how thoroughly you implement the system. But the workflow is designed to eliminate the biggest bottlenecks in the traditional approach.

What the course covers

1

Literature Review Fundamentals What a literature review is — and is not. Three core functions, structural approaches, and a three-pass reading method. Experienced researchers can skim or skip ahead. Newer researchers: this is the foundation.

2

Finding and Ranking Literature with AI ChatGPT prompt engineering → Edison Scientific's Literature Agent synthesis → seed paper extraction → Research Rabbit citation mapping → Google Scholar verification. Result: a comprehensive, ranked literature collection.

3

Reading, Understanding, and Building Your Database NotebookLM as your reading companion. Upload papers, extract structured insights in minutes. Everything feeds into the Notion template. Comparative prompts for analysing dozens of papers at once.

4

Comparative Analysis and Gap Identification Notes become critical synthesis. Notion AI compares findings across all papers, maps contradictions, surfaces gaps, and helps define your angle. You leave with drafted sections.

5

Writing and Polishing Your Literature Review Database becomes publication. Structure your review, draft sections from notes, refine language, run plagiarism and citation checks. Ready for submission.

Pricing

Most researchers spend 3 to 6 months on their literature review. A large portion of that time is not spent on analysis or writing. It is spent searching inefficiently, reorganising notes, re-reading papers, and worrying whether they have missed something important.

That is months of your time spent on a problem that a structured system can substantially reduce.

One-Time Payment $109 Lifetime access · All future updates included

✓Reusable across every future literature review
✓Built around free tools available to students
✓Save weeks of searching, organising, and re-reading

Get Instant Access — $109

Instant access 14-day guarantee Free tools only 0% refund rate to date

This is not just for your current literature review. The same workflow can be used for your master's thesis, PhD chapters, journal papers, grant applications, and future research projects. Once you learn the system, you can apply it throughout your research career.

Who this is NOT for

×

Students who want AI to write their thesis. This teaches AI as a research assistant, not a ghostwriter. You still read, evaluate, and synthesise.

×

Researchers unwilling to engage with papers. The system makes reading faster and more targeted. It does not eliminate reading.

×

Undergraduates writing short essays. This is built for postgraduate-level reviews requiring systematic coverage across dozens or hundreds of papers.

×

Researchers who already have a workflow they are happy with. If you have a working system and no interest in AI tools, this course is not trying to convince you otherwise.

Common questions

Is this cheating?▾

No. AI helps you find, organise, and analyse literature. You provide the critical thinking and synthesis. The course specifically teaches ethical usage and maintains academic integrity.

Will my university allow this?▾

The course focuses on research assistance — finding papers, reading comprehension, note organisation, and pattern recognition — not generating original claims. This distinction is built into every workflow.

Are these tools expensive?▾

Every core tool is free: Edison Scientific's Falcon, Research Rabbit, NotebookLM, Notion (Education plan), and ChatGPT (free tier). No student is priced out.

Is this too basic if I have already started?▾

Module 1 can be skipped. Modules 2–5 improve the process even mid-review. Many researchers reorganise existing work with these tools and save considerable time.

Is this just repackaged free information?▾

The tools are public. The integrated workflow is not — including prompt sequences, system connections, the Notion template, prompt library, and structured progression from search to submission. This is a system, not a playlist.

The Guarantee

🛡️ 14-Day Money-Back Guarantee 14 days. If you have watched less than 30% of the course and it is not for you, email for a full refund.
No forms. No hoops.

No forms No hoops Full refund

Every week spent in the traditional cycle of searching, re-searching, reorganising, and second-guessing is a week you could have spent on analysis, writing, or moving your research forward. This course gives you a structured system that replaces that cycle. It does not require expensive tools. It does not compromise academic integrity. And it works whether you are starting fresh or already mid-review. The workflow is ready. The tools are free. The only decision is whether you implement it now, or continue without it. Get Instant Access — $109

Instant access 14-day guarantee Free tools only 0% refund rate to date

P.S. Every tool in the course is free. The Notion template is included. The prompt library is included. Your only investment is $109 and approximately 3 hours of focused instruction. P.P.S. The system works whether you are starting fresh or already mid-review. If you have been thinking about doing this more efficiently, now is the simplest time to start.

Get Immediate Access

Pricing

Most researchers spend 3 to 6 months on their literature review. A large portion of that time is not spent on analysis or writing. It is spent searching inefficiently, reorganising notes, re-reading papers, and worrying whether they have missed something important.

That is months of your time spent on a problem that a structured system can substantially reduce.

One-Time Payment $109 Lifetime access · All future updates included

✓Reusable across every future literature review
✓Built around free tools available to students
✓Save weeks of searching, organising, and re-reading

Get Instant Access Now

Instant access 14-day guarantee Free tools only 0% refund rate to date

This is not just for your current literature review. The same workflow can be used for your master's thesis, PhD chapters, journal papers, grant applications, and future research projects. Once you learn the system, you can apply it throughout your research career.

The Guarantee

🛡️ 14-Day Money-Back Guarantee 14 days. If you have watched less than 30% of the course and it is not for you, email for a full refund.
No forms. No hoops.

No forms No hoops Full refund 0% refund rate to date

Every week spent in the traditional cycle of searching, re-searching, reorganising, and second-guessing is a week you could have spent on analysis, writing, or moving your research forward. This course gives you a structured system that replaces that cycle. It does not require expensive tools. It does not compromise academic integrity. And it works whether you are starting fresh or already mid-review. The workflow is ready. The tools are free. The only decision is whether you implement it now, or continue without it. Get Instant Access — $109

Instant access 14-day guarantee Free tools only 0% refund rate to date

P.S. Every tool in the course is free. The Notion template is included. The prompt library is included. Your only investment is $109 and approximately 3 hours of focused instruction. P.P.S. The system works whether you are starting fresh or already mid-review. If you have been thinking about doing this more efficiently, now is the simplest time to start.