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Prompts from the guide
A Bachelor's Thesis with AI: The Complete Honest Workflow from Assignment to Defense
30 prompts from this guide. Fill in whatever sits in [square brackets] — your own context, the document text or the name of your tool. That context is exactly what separates a generic answer from a usable one.
Narrowing the topic: turning a field into a question
I'm a [field] student writing a bachelor's thesis on [topic]. The required length is [40–50] standard pages, I have [5] months, and I'm in [country]. Propose 5 different ways to narrow this topic. For each one, give: 1. A concrete research question (one sentence, not a vague statement) 2. What data would be needed and where to get it (public database, my own survey, interviews, content analysis, existing dataset) 3. An estimate of how long data collection would take 4. The main risk — why this variant could fail 5. What the conclusion would look like if the result turned out to be "nothing interesting" The variants must differ in approach, not just in wording. At least one should be qualitative and at least one quantitative. Skip the intro and summary, go straight to the five blocks.
Research question and hypotheses
My research question is: [question]. Field: [field]. Method I'm considering: [survey / interviews / data analysis / content analysis]. Sample I can realistically reach: [description, e.g. 120 students at one faculty]. Do three things: 1. Rephrase the question into a form that is unambiguously answerable, and explain what you changed and why. 2. Derive 2–4 testable hypotheses from it. For each one, state which variable is being measured, how it's operationalized, and what result would disprove it. 3. Be critical: point out where this question is only apparently answerable — what data I'd need to answer it honestly, and which of that I probably won't be able to get. Don't hold back on point 3, I want to hear the uncomfortable part too.
Schedule: a week-by-week plan with slack built in
I'm writing a bachelor's thesis on [topic], method [method]. I received the assignment on [date], submission is on [date], defense is on [date]. I realistically have [10] hours a week for the thesis, except during [exam period from—to], when I have zero. Build a week-by-week schedule from today to submission. For each week: - what exactly I should do (an activity, not a phase) - what should be done by the end of the week (a checkable output) Separately list 5 milestones I can't miss, and for each one write what happens if it slips by two weeks. Leave the last 3 weeks before submission free as slack for proofreading, typesetting, and unexpected problems — don't schedule any writing there. Output as a table: week, date, activity, output.
Meeting with your thesis advisor
Tomorrow I have my first meeting with my thesis advisor about my bachelor's thesis. Topic: [topic]. My current research question: [question]. Method I'm considering: [method]. What I have so far: [status]. Prepare briefing notes for the meeting: 1. A 5-sentence summary of my plan I can read aloud at the start 2. 8 questions for my advisor, ranked by importance — ones where their answer will change what I do next (not questions I could answer myself by looking them up) 3. 3 decisions I need them to sign off on 4. What I should write down from the meeting so I don't have to solve it again in a month Be concise, it should fit on one page.
Gathering sources: where to look and how to keep records
Map the academic literature on [topic], focus [narrowing]. I'm interested in the period [last 10 years] and the context [country / EU / global]. I want: - the main schools of thought and key authors, who's cited in this field - 15 concrete sources (journal articles, monographs, research reports) with a full citation and a link to where the text can be found - one sentence per source on why it's relevant to my topic - which ones are freely available and which are only behind paid databases - 5 search terms I can use to keep searching Cite a source for every claim. If you're not sure a source exists, say so instead of guessing and filling it in.
NotebookLM step by step
Take the source [file name] and produce a structured summary: - the author's main thesis in 5 sentences - method and sample used (if it's a research study) - 5 most important findings, with a page reference for each - 3 directly quotable passages in exact wording, with page numbers - what's missing or weak in the text Base this exclusively on this source. Where a page number can't be found, say so instead of guessing.
NotebookLM step by step
Go through all the uploaded sources and build a literature map for the question [research question]: 1. What main positions appear in the sources — who holds which one 2. Where the authors agree (across sources) 3. Where they directly disagree — for each dispute, give both sides and the source each comes from 4. Which sources are original research and which just draw on others' work 5. Chronology: how the view on this topic has evolved over time Don't add anything that isn't in the uploaded sources.
NotebookLM step by step
My research question is [question] and I want to study it using [method] on the sample [sample]. Based on the uploaded sources, do a gap analysis: - what's already established and well covered on my topic - where the findings are contradictory or insufficient - what, specifically, none of the uploaded sources address - which of these gaps my thesis can realistically fill, and which is too big for a bachelor's thesis For each gap, cite the sources that lead you to conclude it exists.
NotebookLM step by step
List how the term [term] is defined across the uploaded sources. For each source: the exact wording of the definition, author, year, page. Then compare: where the definitions differ, which ones are mutually incompatible, and which is most widely used in the field. Finally, suggest which definition I should adopt in my thesis and how to justify it. Do the same for the terms: [term 2], [term 3].
Managing citations: formatting is the machine's job, existence is yours
Here's a raw list of sources I've noted down in different formats — some copied from the web, some transcribed from a book: [paste list] Convert them into a single consistent format following [my required citation style, e.g. APA / Chicago / ISO 690], sort alphabetically by author's last name, and split into: monographs, journal articles, theses and dissertations, web sources. Where a field needed for the citation is missing from what I gave you (year, publisher, pages, DOI), do NOT fill it in — write [MISSING: year] instead, and add a list at the end of everything I need to track down.
Reading strategy: what to read in full and what to skim
Here are summaries of 15 sources I have for my bachelor's thesis: [paste summaries — for each: author, year, title, 3–5 sentences on content] My research question: [question]. Method: [method]. Rank the sources by relevance to my question and split them into three groups: A) must-read in full — sources I can't write the thesis without B) abstract and conclusion are enough — context, one claim, filler C) skip — why, specifically For group A, note what I should focus on while reading and which part of the thesis it'll cover. For group C, justify the exclusion in one sentence. Finally: is there a type of source you think I'm missing?
Outline: have a skeleton proposed, but choose it yourself
You're an experienced bachelor's thesis advisor in [field]. Below you'll find summaries of the sources I've studied and my research question. Research question: [question] Required length per assignment: [e.g. 40–50 standard pages] Type of thesis: [theoretical / empirical with original data collection / literature review] Source summaries: [paste summaries from the literature review phase] Propose an outline for the thesis: - chapters and subchapters in a logical sequence, - 3–5 bullet points per chapter on exactly what it should cover, - an estimated length in pages for each chapter, - for each chapter, list which of my sources fit there and why. At the end, note what's missing from my sources to tighten up the outline.
Working over a folder in Claude Cowork
thesis/ sources/ PDFs and scanned articles notes/ your notes and summaries from the literature review data/ CSV from the survey, exports charts/ PNGs generated by the script text.md the thesis itself analyze.py script that computes the numbers
Working over a folder in Claude Cowork
Work within this project's folder. Go through the sources/ folder and my notes in the notes/ folder. In chapter 2, in the file text.md, after the paragraph about [concept] add one paragraph (max 200 words) summarizing how the authors in my material approach this concept. Rules: - draw exclusively on what's in the sources and notes, - don't invent or add anything from general knowledge, - cite every claim in the form [Last name year, p. X], - where your source material is missing something, write a TODO comment instead of a claim, - match my style from the surrounding text, no new headings.
The right approach: CSV plus a script
Here's the header of my CSV (first 5 rows, semicolon-separated, UTF-8 encoding, decimal comma): [paste 5 rows including column names] Write me a Python script (pandas, matplotlib) that: 1. loads this file as data/survey.csv, 2. cleans the data: [drop incomplete responses, standardize how regions are written, flag ages outside the 15-99 range as missing], 3. computes descriptive statistics (n, mean, median, SD) for the variable [variable] broken down by [group], 4. tests the hypothesis [hypothesis] with an appropriate statistical test, and writes a comment explaining why that particular test is appropriate and what assumptions the data must meet, 5. saves the numeric results to results.csv, 6. saves the charts to the charts/ folder as PNGs at 300 dpi. For each step, write a comment explaining WHY it's done. The script must run even when there are empty cells in the data.
What the output looks like
Loaded 812 rows, 41 columns.
Removed 47 incomplete responses, 765 remain.
Descriptive statistics: time_online by age_group
n mean median sd
age_group
18-24 213 4.82 4.50 1.91
25-34 241 3.47 3.20 1.64
35-44 186 2.91 2.75 1.38
45+ 125 2.14 2.00 1.22
Kruskal-Wallis: H = 118.42, p < 0.001
Results saved: results.csv
Chart saved: charts/fig1.png (300 dpi)Running it: you don't need to know how to code, you need to understand the script
Explain this script to me line by line, as if I were a first-year student who's never seen Python before. For each block, write: - what it does, in plain English, - why this step is necessary, - what would happen if I left it out. For every statistical test, also explain why this particular test was chosen, what assumptions it makes, and what I'd have to replace it with if the data didn't meet those assumptions. At the end, give me 5 questions a reviewer might ask me about this analysis, and how to answer them. [paste script here]
Charts: a consistent style
Update the charting part of the script so all charts share a single style suitable for a printed bachelor's thesis: - sans-serif font, labels at least 11 pt, - axis labels in [my language] including units, e.g. "Time online (hours/day)", - chart titles in [my language], numbered as "Figure 1: ...", - no unnecessary color: shades of gray, color only where it distinguishes groups, and still legible when printed in black and white, - no background grid, no 3D effects, - add n (sample size) to each chart's caption, - export to charts/ as PNG, 300 dpi, white background. Put all the settings in one place at the top of the script.
A theory chapter from your own notes
Here are my notes for chapter 2 [chapter title], including a citation with every note. Assemble them into a continuous draft covering these topics in this order: [topic A], [topic B], [topic C]. Rules: - use ONLY claims from the notes; don't add anything from your own general knowledge, even if it's common knowledge - keep the citation for every claim in the exact form it appears in the notes - where the notes aren't enough for a smooth transition, or where support is missing, write TODO: [what to look up] on its own line — don't invent filler - don't reconcile conflicting notes, flag the contradiction instead - academic [my language], no superlatives At the end, list all the TODOs.
Methodology
Write the methodology chapter based on this outline of my approach: Design: [e.g. survey study, quantitative, cross-sectional] Sample: [who, how many, how selected, where and when collected] Instrument: [survey with X questions, scales, where the items were adapted from] Data collection: [how distributed, response rate, excluded responses and why] Processing: [software, tests, significance level] Ethics: [informed consent, anonymization] Limitations: [what I know is a weakness] Requirements: academic style, past tense, descriptive, no superlatives and no evaluation of the quality of my own approach. Describe every decision so that someone else could replicate it. Where the outline is missing something, write TODO: [what to add].
Interpreting the results
Here are the results of my analysis from [results.csv] and the chart descriptions [file names]. Hypothesis H1 was: [wording of H1]. Don't write chapter text. Answer in three blocks: 1) What the data literally say about H1 — no interpretive overreach. 2) What alternative explanations exist (confounding variables, sampling bias, sample size, chance)? 3) What I CANNOT claim from this data, even if it sounds tempting — especially anywhere it would mean mistaking correlation for causation, or generalizing beyond the sample. For each point, state which number or chart you're basing it on.
Rewriting in your own voice
Go through this text and flag passages that sound like generic AI
prose:
- filler and padding ("in today's world", "plays a key role")
- unsupported superlatives ("crucial", "groundbreaking")
- empty summary sentences that add nothing
- strings of three synonyms instead of one precise word
- throat-clearing openers at the start of paragraphs
Just FLAG them, and for each one briefly explain why it's
suspicious. Don't rewrite anything and don't suggest replacements —
I'll rewrite it myself.Academic style and terminology consistency
Proofread this text as an academic-style editor in [field]. Don't rewrite it, just list your findings with a quote of the affected passage: 1. Person and voice: am I consistently using [first person / editorial "we" / passive voice]? Flag places where it breaks. 2. Terminology: terms I refer to with different words (sometimes "respondent," sometimes "participant") — suggest which term to standardize on. 3. Tense: theory in present tense, my own procedure in past tense — flag deviations. 4. Abbreviations: is each one defined on first use? 5. Colloquial or journalistic phrasing.
Cross-checking the text against the reference list
Here's the text of my thesis [filename.md] and the reference list [references.md]. Do a cross-check and return four lists: 1. Citations that appear in the text but are missing from the reference list. 2. Entries in the reference list that the text never cites. 3. Mismatches in the details of the same source (different year, different last name, different author order between the text and the list). 4. Direct quotes in quotation marks that are missing a page number. For each finding, give the chapter and passage. Don't fix anything.
Formatting your citation style
Format this list of sources according to [my required citation style, e.g. APA / Chicago / ISO 690], style [numeric reference / author-date] per the conventions of [my university]. The sources are of different types: monograph, book chapter, journal article, thesis, web page, legal statute. - don't fill in details that aren't in what I gave you; mark missing fields as [MISSING: year] etc. - don't change titles, names, or years - sort alphabetically by first author's last name - append a list of entries with missing fields at the end
Checking claims and numbers
Go through this chapter and list every checkable factual claim in a table: numbers, proportions, years, names, references to other people's research. Columns: claim | where in the text | cited source | type (number/date/name) | how hard it is to verify. Don't claim whether it's true — just list what needs to be verified against the source.
From markdown to the final format
Convert this chapter from markdown to LaTeX for our faculty's template. I'm attaching the preamble and a sample chapter from the template — follow its conventions, don't add new packages. - headings to section/subsection by level - images into a figure environment with \label and \caption, leave the captions as they are - tables into whatever environment the template uses - convert citations to \cite with keys from the attached .bib file - properly escape special characters (%, &, _, quotation marks) - where you're not sure about the mapping, leave a % TODO comment and the original text
Pre-flight check of formal requirements
Here's the structure of my thesis (table of contents + first paragraph of each section) and here are our faculty's requirements: [paste the exact wording of the policy: required sections, length, order, appendices, how AI use must be disclosed, abstract format, number of keywords] Go through the requirements one by one and mark each: MET / NOT MET / CANNOT VERIFY FROM STRUCTURE. For anything not met, say what's missing and where it belongs. At the end, list what I still need to check by hand in the typeset version.
The review round
You're a strict reviewer of bachelor's theses in [field]. Read the attached thesis and write the report you would actually submit — skip the polite preamble and any praise that doesn't say anything concrete. 1. Three weakest points in the methodology (what specifically, and why it matters). 2. Three holes in the argument — claims that don't follow from what precedes them, or that aren't backed by data or a citation. 3. Five questions I would ask at the defense, starting with the nastiest. 4. For each question, describe what a good answer would look like — and what answer you'd consider evasive. Base this only on the text of the thesis, don't guess at what I probably did.
Preparing for the defense
Prepare me for the defense. From the attached thesis, generate: - 15 questions the committee might ask, split into: methodology, interpretation of results, positioning within the literature, practical implications, "why didn't you do it differently" - for each one, a skeleton of a good answer in three points - three questions my thesis doesn't have a good answer to, and a suggestion for how to admit that honestly Ask about my numbers and my decisions, not the field in general.