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Nobody told me about these when I started my PhD. I had to figure them out the hard way. 🤍Claude is not just for writing...
12/06/2026

Nobody told me about these when I started my PhD. I had to figure them out the hard way. 🤍

Claude is not just for writing. These 5 prompts solve problems I see PhD students stuck on every week: From surviving your viva to finally getting reviewer 2 off your back.

Save this before you need it.

And if you want to go even deeper; before you write anything, you need to know what’s already out there. I put together a free guide on how to map your entire research area in under an hour using a free AI tool. Real citations. No hallucinations.

Comment AGENT and I’ll send it straight to your inbox 👇

11/06/2026

ery accurate summary of my day today. 😅

Can you relate?

P.S. When I’m not trying to be funny (which is most of the time), I share practical AI tips to help you thrive in academia. Follow along to level up your academic journey with AI. 🤝

10/06/2026

Prompt for ChatGPT to Help with Scholarship Applications.

(You can copy the caption by opening this post in your PC browser) 👇🏻

“I need help applying for scholarships to study abroad. Here’s what I need you to do:

1.          Scholarship Search: Find scholarships available for [specific field/program, e.g., Chemical Engineering PhD] in [desired country or university, e.g., Japan or the University of Tokyo]. Focus on opportunities that cover tuition, living expenses, and travel costs.

2.          Eligibility Check: Create a list of eligibility criteria for each scholarship, such as academic qualifications, language requirements, or specific documents needed.

3.          Application Strategy: Help me draft a strong application, including:
◦ Personal Statement: Highlighting my academic achievements, research interests, and future goals.
◦ Research Proposal (if required): A brief and compelling proposal related to my field of study—[insert specific topic, e.g., plunging liquid jets simulations].
◦ Motivation Letter: Explaining why I chose this program/university and how it aligns with my career goals.
◦ CV/Resume: Tailored to emphasize relevant skills, awards, and publications.

4.          Letter of Recommendation Requests: Draft polite and professional email templates for requesting recommendation letters from professors or advisors.

5.          Proofreading and Formatting: Review all documents for clarity, grammar, and structure to make sure they are polished and professional.

6.          Deadline Reminders: Provide a timeline for submitting applications, including reminders for gathering documents, requesting references, and submitting forms.

Let’s start with the first step—can you find 3-5 relevant scholarships for me?”

Try it out and let me know if you found this helpful.

10/06/2026

🚀 Your Literature Review, 4x Faster with AI Agents

Imagine this: you upload your papers to ChatGPT, tell your Agent exactly what details to extract (key findings, methods, citations…), and it auto-builds you a structured CSV with sources, citations, and summaries.
�No more endless Ctrl+F, no more scattered notes. Just clean, organized, and ready to write.

Here’s how to set it up in Agent Mode:

1️⃣ Create Your Agent – Give it a clear role: e.g., “Extract literature review data from uploaded papers.”
�2️⃣ Be Specific – Tell it what to look for: publication details, methodology, key findings, quotes, limitations. This is VERY important. Your results will only be as good as your details. Be as precise as possible.
�3️⃣ Auto-Save Results – The Agent compiles everything into a CSV with source links and correct citations.
�4️⃣ From Table to Review – Agent uses the CSV to create your outline → you add your notes → it writes the full review.

💡 Pro tip: the more precise your extraction instructions, the better your literature review will be. Treat your Agent like an overachieving research assistant—because it basically is.

PS: prompt is fixed in comments

PPS: If you open this post in your browser you can directly copy the prompt into ChatGPT

📜 Agent Mode Prompt: Literature Review Assistant
Role: You are an AI research assistant specializing in literature reviews. Your job is to process uploaded academic papers, extract precise details, save them to a CSV with correct citations and source links, and create a literature review outline based on this data.
Tasks:
1. When I upload one or more papers (PDF or text), extract the following information for each source:
* Full APA/MLA citation (user’s choice)
* Author(s)
* Year of publication
* Title of paper
* Journal or source
* Keywords
* Research question or aim
* Methodology summary
* Key findings
* Limitations noted by the authors
* Notable quotes (with page numbers)
* DOI or direct link if available
2. Save all extracted data into a CSV file with clearly labeled columns.
3. Include a clickable link to the original source or DOI in the CSV.
4. Once the CSV is ready, generate a literature review outline organized by themes, theories, or chronology (depending on my instruction).
5. After I fill in the outline with my own notes, take my updated version and turn it into full academic paragraphs for the literature review section.

09/06/2026

his is a super prompt to get you started on your literature review and set up your literature search properly for a systematic, controlled search.

Comment “PROMPT” and I‘ll send you the prompt I used. 📨

How to Use It Effectively:

1. Prepare your inputs before prompting:
- Research question (even if rough).
- Discipline (and subfield if applicable).
- Time range (e.g., “2015–2025”).
- Inclusion/exclusion criteria (language, publication type, peer-reviewed only, etc.).

2. Run the prompt and review results.

3. Refine: Ask GPT follow-up questions like:
- “Expand the keywords to include statistical methods used in this field.”
- “Add more recent emerging terms from the last two years.”
- “Generate Scopus and Web of Science queries with proximity operators.”

4. Validate manually: Test the search strings in databases to ensure they work as intended.

5. Save the keyword lists & Boolean strings — you’ll reuse them when you move to step 2 (Rapid Skimming).

💡 Pro Tip for PhD Efficiency

If you want this as a persistent GPT Agent, you can:
- Save this prompt as your “Literature Scoping Assistant” in the Custom Instructions of ChatGPT or in a note-taking app.
- Each time you start a new subtopic, paste in your updated topic info and run it.
- Maintain a living spreadsheet for keywords, databases, and authors so your search scope evolves with your project.

08/06/2026

Awesome AI-powered workflow for your literature review! 🤯📚

Guuys! 🤩 Today is a celebrate-the-small-wins kind of day!I finished the second chapter (methodology) of my PhD and am no...
08/06/2026

Guuys! 🤩 Today is a celebrate-the-small-wins kind of day!

I finished the second chapter (methodology) of my PhD and am now officially working on the results chapters of my thesis. The next chapter is the backbone of my research: the validation chapter. It basically proves that my computational model is capable of representing real-life physics.

In this chapter, I take experimental data and compare it to my simulation data and, ideally, say: “Hey! Look! It’s the same, so my model is awesome and we should definitely trust it!” 🤣

Long story a couple of sentences longer: if the validation chapter is solid, ALL my results are solid. If my validation is s**t, then all my results are s**t. 🥹

So, for June, the goal is to bring everything I’ve done for validation together in this chapter and feel very relieved and happy afterwards. 🙂‍↕️

What are you working on right now?

07/06/2026

Here’s how to get ChatGPT to act like a full research data analyst:

👉 Prompt:�“Act as a professional data analyst for academic research. Please guide me step by step through analyzing my dataset. Follow this structured workflow:

1. Clarify Dataset
- Ask me for the dataset description (type, variables, sample size, collection method)
- Identify whether the data is quantitative, qualitative, or mixed
- Suggest how I should clean or preprocess it before analysis

2. Explore & Summarize
- Recommend summary statistics I should calculate (mean, median, standard deviation, frequencies, etc.)
- Suggest how to detect outliers or missing values
- Propose ways to describe the dataset in a paper (e.g., demographic tables, descriptive summaries)

3. Choose Statistical Tests
- Based on my research question, recommend appropriate statistical tests
- Explain the assumptions of each test (normality, independence, etc.)
- Suggest alternatives if assumptions are violated
- Indicate whether one-tailed or two-tailed tests are better in my case

4. Visualize the Data
- Propose 2–3 visualization options (e.g., histograms, scatterplots, regression plots, bar charts)
- Explain what each visualization reveals
- Suggest whether to use Python libraries (matplotlib, seaborn), R packages (ggplot2), or SPSS charts

5. Interpretation
- Provide guidance on how to interpret the results for my field
- Show examples of phrasing results in an academic paper (e.g., APA style reporting)

6. Highlight Pitfalls
- Warn me about common mistakes (e.g., overfitting, p-hacking, ignoring effect sizes)
- Suggest strategies to avoid them

7. Create Workflow
- Summarize a clear pipeline I can follow: Collect → Clean → Explore → Test → Visualize → Interpret → Report
- Recommend whether to use R, Python, or SPSS, with pros/cons for each in academic contexts

8. Next Steps
- Suggest what additional analyses I might try
- Recommend advanced techniques (e.g., regression, factor analysis, machine learning) if relevant
- Indicate how to frame the findings as a contribution to my research question

06/06/2026

If you’re NOT using Google’s free tool Notebook LM for your literature review yet—what are you doing??

It’s literally one of the most amazing tools for understanding academic literature. I use it all the time, and with its most recent update, you can even watch all kinds of articles as videos.

So there’s literally no excuse left for not reading that paper that’s been sitting in your download folder for way too long. 😉

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