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  • Write My Dissertation With AI: What That Can Honestly Mean in 2026

    Write My Dissertation With AI: What That Can Honestly Mean in 2026

    You have a research question, a folder of sources, possibly a spreadsheet of results, and a document that is still mostly headings. Six weeks left, or three, and every writing session ends with the same two paragraphs rewritten. That is the search behind “write my dissertation with AI”, and it deserves a straight answer rather than a sales page.

    The straight answer: nothing can write it for you and leave you with a degree you can keep. Something can get it written far faster than you are managing alone. The difference between those two sentences is the whole subject, and it is worth ten minutes before you type your question into anything. If you want to start now, Tesify is free to begin — but read the workflow first, because using it well is what makes the difference.

    What “write it for me” actually costs

    Two options sit behind that phrase and both fail, for different reasons.

    Paying a person. Selling, arranging or advertising these services to students in England has been a criminal offence since 2022 — and yet, as of December 2025, the Crown Prosecution Service and the Department for Education both confirmed no offence had reached a first hearing in a magistrates’ court. The enforcement record is empty, which tells you the industry is not going anywhere and that the risk sits entirely on your side. The seller risks a fine that has never yet been imposed; you risk the degree. The full map is in our guide to legitimate and criminal dissertation help.

    Pasting a chatbot’s output. This fails on the product, not just the ethics. A general model has never read your sources, does not know what your data showed, cannot see your supervisor’s feedback, and invents citations that look flawless and do not exist. A marker’s first move with an unfamiliar reference is to look it up, and a fabricated one is found in about thirty seconds. Beyond that, you cannot discuss work you did not think through — and being able to explain your own argument is what every conversation with your supervisor tests.

    The reframe that actually helps

    Students in this position rarely lack the ability to write, or the material. What they lack is a structure that converts a pile of reading and results into an ordered sequence of small writing tasks. “Write chapter four” is not a task; it is a fog. “Write 300 words stating what the interviews showed about workload, using the three extracts already chosen” is a task, and you can do it in twenty minutes.

    Turning the fog into the task list is mechanical work, entirely legitimate to delegate, and it is the single highest-value thing a tool can do for you. Everything below is built on that.

    A dissertation broken into a numbered chapter skeleton with each section's job noted
    Every section with a one-line statement of its job. This page is what turns six weeks of dread into thirty finishable pieces of work.

    Chapter by chapter: what you can hand over, and what you cannot

    Introduction

    Hand over: the conventional shape — context, problem, gap, aims, questions, structure — and a critique of whether your draft actually delivers each. Keep: the claim about why your question matters. Write this chapter last, whatever order the document is in.

    Literature review

    Hand over: reorganising a review you have drafted, checking whether topic sentences match their paragraphs, and suggesting thematic groupings for studies you have read and summarised. Keep, absolutely: deciding what the literature says, judging quality, choosing what matters, and every citation. Never accept a reference from a tool you have not opened and read. The full boundary, with a model declaration, is in our guide to writing a literature review with AI, honestly.

    Methodology

    Hand over: the architecture and the prompts — philosophy, approach, design, sampling, instruments, analysis, ethics — and whether you have justified each decision rather than merely described it. Keep: the justifications. Our walkthrough of the methodology chapter has the structure you can lift, and this is often the fastest chapter to finish because you already know what you did.

    Results

    Hand over: table and figure formatting, and the conventional reporting sentence for a given test — the exact APA construction is set out in our guide to running and reporting a t-test. Keep: the analysis, and every number. Never let a tool near your data values.

    Discussion

    Hand over: a structural check that each finding is interpreted against the literature and that your limitations are specific rather than boilerplate. Keep: the interpretation itself. This chapter is where the marks concentrate and where delegation is most visible, because generic discussion prose reads as generic immediately.

    Bibliography

    Hand over the lot. Formatting citations is clerical work nobody awards marks for and everybody deducts marks over. An automatic bibliography that generates from what your text actually cites removes the cited-but-not-listed problem entirely — see our guide to the AI Harvard referencing generator.

    The one test that settles every case

    Forget “is AI allowed” as your organising question, because the answer varies by institution, by department and sometimes by module. Ask this instead:

    Could you sit with your supervisor, be stopped at any paragraph, and explain why it says what it says?

    If yes, you wrote your dissertation, whatever tools were on the desk. If no, you did not, and no policy wording rescues that. This test also happens to be what a marker applies, which is why it is the one worth optimising for.

    A supervision meeting discussing a draft the student can explain and defend
    This meeting is the real assessment of authorship. Everything else is administration.

    How Tesify is built for this

    Tesify is a dissertation workspace rather than a chatbot, and the difference is that it holds the whole project. It builds the chapter structure for your project, works from your research questions, sources and findings, drafts with you section by section instead of producing a finished essay, maintains the bibliography in your citation style as you cite, and checks your drafts before your university does.

    The design commitment is the important part: everything stays 100% written by you. Tesify handles structure, formatting and momentum; the reading, the reasoning and the words are yours, which is the only configuration that survives the supervisor test. More than 9,000 students have used it across more than 15,000 chapters, and you can start free.

    It also does not need to be your only tool. A general chatbot is genuinely useful for explanation and critique, and a reference manager holds your library — the sensible combination is set out in our comparison of the best AI tools for dissertation writing.

    Tonight, if you are behind

    1. Build the skeleton. Every chapter, every section, one line saying what each section has to achieve. An hour, and the fog becomes a list.
    2. Write the methodology. You already know what you did and the structure is conventional. Having one finished chapter changes your relationship to the whole project more than any amount of planning.
    3. Spend the good hours where the marks are. Analysis and discussion outweigh a perfect introduction. Timebox by weight, not by document order.
    4. Fix the bibliography once, automatically, instead of five times by hand at 2am.
    5. Tell your supervisor where you actually are. Being three weeks behind is a solvable problem; being three weeks behind and silent for a month is a worse one.

    None of this requires you to be more disciplined than you have been. It requires the work to be broken into pieces small enough to start. Open your dissertation in Tesify and build the skeleton tonight — it is free to start, and the chapter you finish tomorrow is the one that changes the next six weeks.

    Frequently asked questions

    Can AI write my whole dissertation for me?

    It can generate text that looks like a dissertation, and that text will contain invented citations, no engagement with your data, and nothing you can defend in a supervision meeting. It cannot produce work that is honestly yours, which is what you are being assessed on.

    Is using AI to write a dissertation cheating?

    It depends entirely on what you use it for and what your institution permits. Structure, formatting, referencing and critique of your own writing are widely accepted; submitting generated text as your own work is not. Read your academic integrity policy and the assessment brief, and follow any declaration requirement.

    How much does Tesify cost?

    You can start free and build real chapters before deciding whether you need anything more. There is no charge to try the workflow on your actual dissertation.

    Will my university know I used Tesify?

    There is nothing to hide. Tesify supports your writing rather than replacing it, so what you submit is your own work. If your department asks you to declare tool use, declare it — a use you can state openly is a use you have already vetted.

    Is my unpublished research safe?

    Your work in Tesify is yours: it is not published or shared into any public database, and you can export it. Keep your own exported backup as a habit with any tool you use.

    What if I only have three weeks left?

    Three weeks of structured, prioritised writing produces far more than most students believe, and far more than any ghost-writer working without your data could. Build the skeleton, write the methodology first, and give the good hours to analysis and discussion.

    Can it help if I have not collected my data yet?

    Yes — the introduction, literature review and methodology can all be drafted before your results exist, and having them written is what makes the analysis period survivable. Check that your ethics approval is in place before you collect anything.

    Does it write in British English?

    Yes, and you should check the final draft for consistency regardless of what you write in. UK departments expect British spelling and conventions unless your handbook says otherwise.

    What if my supervisor has stopped replying?

    Chase once by email, then contact your department’s dissertation coordinator or postgraduate office — supervision is an institutional obligation, not a personal favour. Keep writing while you wait rather than treating silence as permission to stall.

    Will using AI make my writing sound generic?

    It will if you let a tool generate your prose. It will not if the tool handles structure and formatting while you write the sentences, which is the workflow described here and the reason it survives a supervision meeting.

  • Your Dissertation Timeline: A 12-Week Plan That Survives Real Life (2026)

    Your Dissertation Timeline: A 12-Week Plan That Survives Real Life (2026)

    Most dissertation plans fail in the same way. They allocate weeks to writing chapters, which is the part you control, and no time at all to ethics approval, participant recruitment, a supervisor’s annual leave or the print shop’s queue — which is where the weeks actually disappear. Then week six arrives, nothing has moved, and the plan gets abandoned rather than adjusted.

    This is a twelve-week plan built the other way round: the fixed-duration external dependencies go in first, the writing flows around them, and the buffers sit where the delays really happen. If you would rather have the chapter structure built for you than build it yourself, Tesify does that free.

    Three rules before the weeks

    Work backwards from submission, not forwards from today. Put the deadline on the page first, then subtract binding and printing, then the final proofread, then the last supervisor read. What remains is your actual writing window, and it is always shorter than it felt.

    Start the slowest thing first. Ethics approval and recruitment have durations you do not control. Everything you can do while waiting — literature, methods, instruments — should be scheduled into the waiting.

    Plan in deliverables, not hours. “Work on lit review, Tuesday” is unfalsifiable and will not happen. “Draft the 600 words on measurement debates, Tuesday” either happened or it did not. This matters more than any other item on this page.

    The twelve weeks

    Week Main deliverable Running in parallel
    1 Question fixed and agreed with supervisor; chapter skeleton built Start reading; set up reference manager
    2 Ethics application submitted Literature search run and logged
    3 Literature review first draft (half) Ethics under review; build instruments
    4 Literature review first draft complete Approval expected; recruitment materials ready
    5 Data collection opens; methodology chapter drafted Recruitment chasing
    6 Data collection continues; methodology to supervisor Analysis plan written before data arrives
    7 Data collection closes; cleaning and preparation Revise literature review on feedback
    8 Analysis run; results drafted —
    9 Results chapter complete; discussion started Results to supervisor
    10 Discussion and conclusion drafted Introduction written last
    11 Buffer week — full draft assembled; abstract written Bibliography and formatting check
    12 Proofread, print, bind, submit two days early —

    Why the plan front-loads the things that are not writing

    Ethics goes in week two, not week five. Approval must be in place before you approach a single participant, retrospective approval is generally unavailable, and data collected without it is unusable however good your intentions. A low-risk departmental review often takes days to a few weeks, and every round of requested revisions restarts the clock. Our guide to ethics approval for an undergraduate dissertation covers what triggers review and what goes in the application — and note that if your project involves NHS patients or staff as participants, the answer is a redesign rather than a longer wait.

    The literature review is drafted during the ethics wait. This is the single biggest efficiency in the plan. Those three weeks are otherwise dead time, and the review is the chapter least dependent on anything else. Run and log your searches properly at the start using the databases mapped in our guide to where to search for dissertation literature, because reconstructing a search log in week eleven is the most avoidable job in the whole project.

    Data collection gets three weeks, not one. Recruitment is slower than everyone expects, and your target sample should have been decided in advance rather than discovered — the reasoning belongs in your methods, as set out in our guide to sample size for an undergraduate dissertation.

    The analysis plan is written in week six, before the data exists. Deciding your analysis in advance stops you fishing through your results for something significant, and it means week eight is execution rather than decision-making.

    A weekly plan with specific finishable tasks and deliberate slack days
    Specific enough to be finishable, with the empty days planned rather than borrowed from later.

    The five things that break timelines

    1. Ethics revisions. Assume one round. If it comes back clean, you have gained a week.
    2. Recruitment stalling. Have a second recruitment route agreed with your supervisor before you need it.
    3. Supervisor availability. Ask in week one when they are away and what their turnaround time is. Two weeks of annual leave in August is normal and it is only a crisis if you did not know.
    4. Analysis surprises. An assumption fails, a variable is not what you thought. Week eight has slack for exactly this, and the fallback routes are in our guide to what to do when your statistical assumptions fail.
    5. Printing and binding. Print shops have queues in submission week, and a bound copy requirement discovered on the last afternoon has ruined otherwise finished dissertations. Check your submission format in week one.

    The buffer rules

    Week eleven is a buffer, and the rule is that you do not spend it in advance. A plan with no slack does not survive one bad week; a plan with a fortnight of slack invites the whole schedule to drift into it. One protected week plus a deliberate two-day early submission is about right.

    Two more habits protect the plan. Schedule at most five working days a week — you will use the sixth, but it should be recovered time rather than allocated time. And if a deliverable slips, move it and re-plan the same evening rather than letting the plan quietly become fiction, which is how most abandoned schedules actually end.

    Printing and binding, the final stage students forget to plan for
    The last stage of the project is a queue you do not control. Find out your submission format in week one.

    If you are already behind: the six-week version

    Compress by cutting scope, not by cutting stages, and talk to your supervisor before you commit to any of this.

    Weeks 1–2: skeleton built, methodology written first because you already know what you did, data collection opened immediately if ethics is already approved. Weeks 3–4: literature review drafted to a narrower scope — fifteen sources understood properly beats forty skimmed — and analysis run as soon as collection closes. Week 5: results and discussion, which is where the marks are. Week 6: introduction, abstract, bibliography, proofread, submit.

    If your project has not started at all and the deadline is close, the honest options are an extension through your institution’s extenuating circumstances process — which has evidence requirements and a deadline of its own — or a redesign to a literature-based project that needs no participants and no approval clock. Both are better than the third option, and if you are being tempted towards buying a dissertation, read what that actually costs in our guide to legitimate versus criminal dissertation help first.

    Make the plan do some work for you

    A timeline is only useful if it converts into tasks small enough to start on a tired Tuesday. That conversion — chapters into sections, sections into a one-line statement of what each has to achieve — is what turns a plan into progress.

    Tesify builds that structure for your dissertation and drafts it with you section by section, keeping the bibliography formatted as you cite. More than 9,000 students have used it across more than 15,000 chapters, everything stays 100% written by you, and it is free to start. Which other tools are worth adding is covered in our comparison of the best AI tools for dissertation writing.

    Frequently asked questions

    How long does an undergraduate dissertation take?

    Most UK undergraduate dissertations run across one or two semesters, and twelve concentrated weeks is a realistic working window for the bulk of it. The variable is not the writing but the approvals and data collection in front of it.

    When should I start my dissertation?

    As soon as you have a supervisor and a workable question. The specific thing to start early is the ethics application, because its duration is the one you cannot compress.

    How many words a day should I write?

    Between 500 and 1,000 words of drafting is sustainable for most students alongside other commitments, and two thirds of full-time undergraduates are also in paid employment. Plan by deliverable rather than by word count, and expect editing to take as long as drafting.

    Should I write the chapters in order?

    No. Write the methodology early because you already know what you did, and the introduction last because it has to describe a dissertation that exists. The literature review can be drafted before your data collection has even opened.

    What if I miss my own deadlines?

    Move them and re-plan the same evening. A plan that is adjusted stays useful; a plan that is quietly ignored stops being a plan. Tell your supervisor if you have slipped by more than a week.

    Do I need a Gantt chart?

    Only if your department asks for one, which some do as part of a proposal. A wall planner or a simple table works just as well for actually running the project.

    How much time should I leave for proofreading?

    At least a full week, and read the whole thing once on paper. Add a separate pass reading only the bibliography and citations, which is where the cheapest marks are lost.

    Can I get an extension?

    Extensions run through your institution’s extenuating circumstances process, which generally covers illness, bereavement and crisis rather than ordinary deadline pressure. It has evidence requirements and its own deadline, so read the policy before you need it.

    What if my supervisor is on leave when I need feedback?

    Ask in week one when they are away and plan around it. If you cannot reach them for an extended period, contact your department’s dissertation coordinator — supervision is an institutional obligation.

    How early should I submit?

    Two days early. Upload systems fail, files corrupt and print shops have queues, and none of those are accepted as reasons for a late submission.

  • Your Data Is Analysed and the Results Chapter Is Blank: How to Write It This Week (2026)

    Your Data Is Analysed and the Results Chapter Is Blank: How to Write It This Week (2026)

    The analysis is done. There is a folder of output, a set of tables you cannot bring yourself to look at, and a chapter heading with nothing underneath it. Two weeks ago the problem was getting the data; now the problem is that nobody ever taught you how to turn output into prose — and this is the chapter that, with the discussion, carries roughly 40% of your word count and most of the analytical credit. You can start building the chapter in Tesify tonight, free; first, here is why it will not start.

    The reason it will not start

    You are trying to write the chapter from your output. A results chapter is written from your research questions.

    Statistical software and coding software both produce material in the order the software works, which has nothing to do with the order your argument needs. Open the output folder and you are looking at a list of procedures. Open your methods chapter’s list of research questions and you are looking at a chapter outline — because your results chapter has exactly one job: to answer, in order, each question you said you would answer, with the evidence that answers it.

    That single reframe removes most of the paralysis, because it converts an unbounded writing task into a fixed number of small ones.

    The cost of getting this chapter wrong

    Two failure modes, and both are expensive.

    The narrated-output chapter. Every table reproduced, every number restated in a sentence, no signal about which finding matters. It is long, it feels thorough, and it reads to a marker as an inability to distinguish the important from the incidental. It also consumes the words the discussion needed.

    The chapter that leaks its discussion. Findings interpreted as they appear, so that by the time you reach the discussion there is nothing left to say and you restate. This is the more common of the two, and the harder to repair late, because unpicking interpretation from reporting means rewriting both chapters.

    The proportion matters as well. Results and discussion take roughly 20% each of a typical empirical dissertation, as our breakdown of undergraduate dissertation word counts sets out. A results chapter that has swollen to a third of the dissertation has taken those words from the chapter that earns more of them.

    Figures arranged in the order of the research questions they answer
    Sort the output by question before you write a word. What is left over is an appendix.

    Step 1: Sort the output into three piles

    Print or list every piece of output you have and put each item into one of three piles.

    1. Answers a research question. This is your chapter, and it is usually smaller than you fear — three questions might need five tables.
    2. Describes the sample. Response rates, demographics, missing data, reliability figures. This is the short opening section, not the body.
    3. Everything else. Exploratory runs, checks you did and abandoned, alternative specifications. This goes in an appendix, or nowhere.

    The third pile is where most over-length results chapters come from, and cutting it is not hiding anything: an analysis you ran, did not preregister and do not report as answering a question belongs in an appendix with a line in the text saying it is there.

    Expected output: a numbered list of sections, one per research question, with the specific tables or themes that belong in each.

    Step 2: Write the sample section first, because you already know it

    It is the easiest thing in the chapter and it breaks the blank page. How many people you approached, how many responded, who they were, what was missing, and any reliability or assumption checks. Facts you already have, in the past tense.

    If your achieved sample fell short of your target, this is where you say so and where you carry the consequence forward — the honest construction, including the sensitivity analysis that replaces a post-hoc power calculation, is set out in our guide to sample size for an undergraduate dissertation. Stating the shortfall in the results chapter and revisiting it in the discussion is a mark of competence, not a confession.

    Expected output: 300–500 words on the desk, before you have interpreted anything.

    Step 3: One sentence per table, then the table

    This is the rule that turns output into a chapter. Each table or figure gets one sentence of prose before it that says what it shows, and one sentence after it, at most, that points at the specific value the reader should notice. Nothing else.

    The University of Manchester’s Academic Phrasebank describes exactly this convention for quantitative work: results are presented with “tables and figures, and writers comment on the significant data shown in these”, and “more elaborate commentary on the results is normally restricted to the Discussion section”. Its worked phrasings are the ones to imitate — “Table 1 shows an overview of…”, “As can be seen from the table (above), the X group reported significantly more Y than…”, and the summarising move “The most striking result to emerge from the data is that…”.

    Two things this rule prevents. It stops you retyping the table into prose, which is the single commonest padding in an undergraduate dissertation. And it stops the table from arriving unannounced, which is what makes a results chapter feel like a report dump.

    Expected output: a chapter whose prose can be read on its own and still makes sense, with every table introduced.

    A results table annotated with the single sentence that will introduce it in the chapter
    Write the sentence in the margin first. If you cannot say what the table shows in one line, the table is doing too much.

    Step 4: Report the numbers in the conventional form

    Reporting conventions are not decoration; they are how a marker checks your analysis quickly. The Phrasebank’s own example gives the shape: “There was a significant difference in X, t(11) = 2.906, p<0.01” — test statistic, degrees of freedom, value, then significance, in that order and in one bracketed string.

    Three habits raise the mark on this alone. Give an effect size alongside every significance test, because a p value tells a reader whether an effect is detectable and not whether it is large. Report exact p values where your handbook allows it rather than only thresholds. And report a non-significant result in exactly the same form as a significant one — “No significant differences were found between…” is a finding, written as a finding. The mechanics for individual tests, including how the output maps to the reported string, are worked through in our guide to running and reporting an independent-samples t-test in SPSS, and what to do when a test’s assumptions are not met is in our guide to failed statistical assumptions.

    If your work is qualitative, the equivalent conventions are structural. The Phrasebank describes qualitative results as highlighting themes with supporting excerpts, which in practice means: name the theme, state how it presents across the dataset, then give one or two illustrative extracts with a participant identifier. The full sequence, and where analysis stops being coding, is in our guide to doing a thematic analysis. The one rule that transfers from the quantitative side without modification: an extract is evidence for a claim you have already made in your own words, never a substitute for making it.

    Step 5: Hold the line between results and discussion

    The test is simple and you can apply it to any sentence you have written. If the sentence could be checked against your data, it belongs in results. If it requires the literature, an explanation, or a judgement about importance, it belongs in the discussion.

    “Attendance was lower among students travelling more than 45 minutes” is a result. “This suggests that practical constraints rather than motivation explain disengagement” is a discussion. The second sentence is more interesting, which is exactly why it migrates into the results chapter if you let it.

    Some departments explicitly combine the two into a single “findings and discussion” chapter, particularly in qualitative and case-study work. That is a legitimate structure and it is a decision your handbook makes, not you. If it does combine them, the discipline still applies inside each section: report first, interpret second, visibly.

    Step 6: Read the chapter backwards against your questions

    Take your list of research questions and, for each one, find the sentence in the results chapter that answers it. If you cannot find one, the chapter has reported around the question without landing on it — the commonest reason a marker writes “descriptive” in the margin. Write the missing sentence.

    Then check the reverse: every section in the chapter should map to a question. A section that maps to nothing is pile three, and it belongs in the appendix.

    Expected output: a one-to-one mapping between questions and answers, which is also the skeleton of your discussion and your conclusion.

    Writing it with Tesify, concretely

    The mechanical part of this chapter is real and it is where the week goes: holding a fixed structure while you fill it, keeping table numbering and cross-references consistent, and making sure the claims in the chapter still match the abstract and the conclusion when you have finished moving things around.

    That is the division of labour Tesify is built for. You give it your research questions and your own findings; it holds the chapter structure, keeps the bibliography built from what your text actually cites, and keeps the document consistent as it grows, so the chapter you finish on Thursday still agrees with the introduction you wrote in March. Every word is written by you — the analysis, the interpretation and the judgement about what matters are the assessed parts and they stay yours.

    Open your results chapter in Tesify now. It is free to start, and the first thing it will ask you for is the list you built in Step 1.

    Frequently asked questions

    How long should a dissertation results chapter be?

    About 20% of the total on a conventional empirical dissertation, with the discussion taking a similar share. On a 10,000-word limit that is roughly 2,000 words. Your handbook’s allocation, where it gives one, overrides the convention.

    What is the difference between results and discussion?

    A results statement can be checked against your data; a discussion statement requires the literature, an explanation or a judgement about importance. The Academic Phrasebank puts the same line as “more elaborate commentary on the results is normally restricted to the Discussion section”.

    Should I include every table my software produced?

    No. Include the output that answers a research question or describes the sample; put the rest in an appendix with a sentence in the text saying it is there. A results chapter is a selection, and making the selection is part of what is being assessed.

    How do I report a non-significant result?

    In exactly the same form as a significant one, without apology. “No significant differences were found between…” is a finding. What you must not do is run further tests until something reaches significance, which is an integrity question rather than a writing one.

    Do I interpret findings in the results chapter?

    Only to the extent of pointing at what the reader should notice. Save explanation and comparison with the literature for the discussion — unless your department requires a combined findings-and-discussion chapter, in which case still report before you interpret within each section.

    How do I write up qualitative findings?

    Name the theme, state how it presents across your dataset in your own words, then give one or two illustrative extracts with participant identifiers. Extracts support a claim you have made; they do not make it for you.

    Is it cheating to use an AI tool to write my results chapter?

    It depends entirely on what the tool does and what your department permits. A tool that holds structure, formats citations and checks consistency while you write the words is a different thing from one that generates findings, and only the second misrepresents authorship. Read your assessment brief’s AI statement, disclose what it asks you to disclose, and keep the interpretation yours.

    How much does Tesify cost?

    It is free to start, which is the tier most students finish a dissertation on. Paid options exist for longer projects; you do not need one to build a results chapter this week.

    Is my unpublished data safe in a writing tool?

    Your work stays yours, it is not published or shared into any public database, and you can export it. Separately, and regardless of tool: report anonymised or pseudonymised data in your chapter, keep identifiable material out of any document you sync, and follow the conditions of your own ethics approval.

    My results are not what I hypothesised. Is that a problem?

    No. A well-designed study reporting an unexpected or null result is a pass; the marks are in the design, the analysis and the honesty of the reporting. What costs marks is a discussion that pretends the prediction was confirmed.

    Where do tables and figures actually go?

    Inline, immediately after the sentence that introduces them, unless your handbook says otherwise. Numbered sequentially, with a caption above tables and below figures at most institutions, and listed on the list of tables or figures in your preliminary pages.

  • Dissertation Help UK Online: What Is Legitimate, What Is Criminal, and What Actually Works (2026)

    Dissertation Help UK Online: What Is Legitimate, What Is Criminal, and What Actually Works (2026)

    Three weeks from the deadline, chapter two is a heading, and your search history has started to fill with “dissertation help UK online”. You are not lazy and you are not alone — this is the most predictable crisis in higher education, and an entire industry exists to monetise exactly this moment. Some of that industry is legitimate and useful. Some of it will take your money and hand you a misconduct case. And one slice of it is, in England, literally criminal to operate. The legitimate route — structuring and drafting your own dissertation in Tesify — starts free; here is the honest map of everything else.

    The law changed, and most students still do not know

    Since 2022, providing or arranging contract cheating services for students in England has been a criminal offence. The Skills and Post-16 Education Act 2022 — Part 4, Chapter 1 — defines a “relevant service” as completing all or part of an assignment on behalf of a student where the result could not reasonably be considered the student’s own work (section 26), makes it an offence to provide or arrange such a service in commercial circumstances (section 27), and separately criminalises advertising it (section 28). The provisions cover students at higher education providers, and the penalty on conviction is a fine.

    Notice what the law targets: the seller, not the buyer. Section 27(6) is explicit that a student does not commit the offence merely by using such a service. Before you exhale — that is not a safe harbour. It simply means Parliament left the student’s side of the transaction to the university, and the university’s tools are the ones that actually reach you: misconduct panels, capped or voided marks, suspension, expulsion, and in regulated professions a fitness-to-practise record. The essay mill risks a fine; you risk the degree the essay mill was supposed to save.

    Why ghost-written work fails even when nobody catches it

    Set integrity aside for one paragraph and look at the product. A ghost-writer working from your title in five days produces generic text with fabricated familiarity: no access to your data, your module’s marking criteria, your supervisor’s feedback or your previous chapters. Markers who have read your coursework all year notice voltage drops in voice immediately, and a viva-style conversation about “your” methods ends the question fast. Add the practical failure modes — blackmail by the service itself, recycled text that fails similarity checks, missed deadlines with no recourse, since the contract was for something no court will enforce sympathetically — and the commercial ghost-writing option is bad even on its own cynical terms. The economics of the panic purchase only work for the seller.

    Symbolic image of a contract cheating service offering ghost-written work
    The seller commits the offence; the student carries the academic risk. Both sides of that trade are bad.

    The spectrum of online help, sorted honestly

    Always legitimate: your supervisor and department writing support, university study-skills services, librarian help with searching, and software that does clerical work — reference managers, bibliography generators, spelling and grammar checking, structural templates. Nobody has ever faced a panel for using a citation tool.

    Legitimate with rules: proofreading — most universities permit a third party to suggest minor corrections but not rewrite your text, and policies differ enough that you should read yours first. AI assistance sits here too: increasingly permitted for structuring, feedback and study support, but governed by module-level rules and usually a disclosure requirement. The workable line, which we develop in our guide to honest AI use in a literature review, is authorship — tools may scaffold, check and organise; the intellectual work and the words must remain yours.

    Never legitimate: buying written-to-order chapters or “model answers” you then submit, having someone sit your work for you, or “guaranteed 2:1” services of any description. This is the s.26 territory — services producing work that cannot reasonably be considered completed personally by you — and no amount of “for reference only” small print changes what happens when you submit it.

    What the panic actually needs: structure, not a ghost-writer

    Here is the thing about the three-weeks-left crisis: the students in it rarely lack ability or material. They lack a structure that turns notes, half-read PDFs and a supervisor’s cryptic comments into an ordered sequence of writing tasks. That is a solvable, mechanical problem — and solving it is legitimate help.

    The rescue sequence that works: first, fix the skeleton — chapters, sections, and the one-sentence job of each section, so the remaining work becomes a list rather than a fog. Second, write the methods chapter tonight, because you already know what you did and its structure is conventional — a finished chapter by tomorrow changes your psychology more than any pep talk. Third, timebox the rest by marks: the analysis and discussion earn more than a perfect introduction, so they get the good hours. Fourth, run your similarity self-check while there is still time to fix what surfaces — our plagiarism checker comparison covers what a self-check can and cannot tell you.

    This is precisely the shape of help Tesify sells, which is why we can describe it without euphemism: it structures your dissertation chapter by chapter, keeps the bibliography formatted automatically as you cite, checks your drafts, and leaves every word yours — 100% written by you. More than 9,000 students have used it across more than 15,000 chapters, and the account is free to start, which matters at 1am three weeks out: open your dissertation in Tesify now and turn the fog into a task list tonight.

    How to vet any service in sixty seconds

    Four questions separate the legitimate from the dangerous faster than any review site. Who is named as the author of the work at the end — you, genuinely, or them? Would you show your supervisor the service openly — legitimate tools survive daylight; ghost-writers advertise discretion for a reason. What exactly are you paying for — a capability you use, or a deliverable someone produces? And does it promise outcomes — “guaranteed first”, “plagiarism-free, written for you” — that no honest party can guarantee? Any service that fails the daylight test fails, full stop.

    Frequently asked questions

    Is buying a dissertation illegal in the UK?

    Selling or arranging it is a criminal offence in England under the Skills and Post-16 Education Act 2022 (sections 26–28), which also bans advertising such services. The student buyer commits no criminal offence under section 27(6) — but faces the university’s misconduct machinery, which can cost the degree itself.

    Does the essay mill law cover university students or just colleges?

    It covers post-16 education in England including higher education providers within the meaning of the Higher Education and Research Act 2017 — so yes, university students’ assignments are squarely in scope.

    Is using Tesify considered contract cheating?

    No. Contract cheating means someone else completes your assignment. Tesify structures your dissertation, formats your bibliography and checks your drafts while you write every word — the authorship stays yours, which is the line that matters both legally and academically. If your course requires disclosure of AI-assisted tools, disclose it; it survives daylight.

    How much does legitimate dissertation help cost?

    Your supervisor, library and study-skills service are free. Tesify is free to start. Paid proofreading is legitimate within your university’s rules. If someone quotes you hundreds of pounds per chapter, you are no longer shopping for help; you are shopping for a misconduct case.

    Is paying a proofreader allowed?

    At most UK universities, yes, within written limits: correction of spelling, grammar and punctuation, not rewriting, restructuring or fixing your arguments. Policies differ by institution and some require you to declare it — read yours before engaging anyone.

    What happens if my university finds out I bought work?

    A misconduct investigation, typically with the submission voided and penalties up to exclusion, recorded on your file. In nursing, law, medicine and other regulated routes it can also reach fitness-to-practise. Services sometimes threaten exposure to extract further payments — a documented pattern worth knowing before you ever hand one your name.

    Can my university tell if a human ghost-writer wrote my dissertation?

    Often, yes — not only through software but through voice discontinuity with your marked coursework, your inability to discuss the work, and drafts you cannot produce. Detection does not require a detector.

    Is my dissertation private if I write it in Tesify?

    Yes — your work is yours, it is not published or shared into any public database, and you can export it. Keep your own backups as a habit with any tool.

    I have three weeks and 2,000 words written. Is it recoverable?

    Usually, yes — three weeks of structured, prioritised writing produces more than most students believe, and far more than a ghost-writer with none of your material could. Fix the skeleton, write methods first, spend the good hours where the marks are, and check similarity before submission. Start tonight rather than Thursday.

    Where do I report an essay mill?

    Tell your university’s academic integrity team — institutions collate and escalate reports, and advertising these services to students in England is itself an offence under section 28. Reporting also protects the coursemates the service will target next.

  • How to Write a Dissertation Proposal: The UK Guide for Students Who Need One This Week (2026)

    How to Write a Dissertation Proposal: The UK Guide for Students Who Need One This Week (2026)

    The proposal is due Friday, the form wants a title, aims, objectives, a literature background, a methodology and a timetable, and you are not certain you have a research question yet. That is the standard position, not a failure — the proposal is the first piece of work in your degree where nobody hands you the question. Tesify builds the proposal’s structure with you and keeps drafting from there into the dissertation itself, free to start. Read the sections below first, though, because a proposal written to the wrong template wastes the one meeting where your supervisor could have redirected you.

    What a rejected or vague proposal actually costs

    Not usually marks — at most institutions the proposal is worth little or nothing on its own. It costs something worse: time at the only point in the project where time is still cheap. A proposal that says “I will investigate social media and wellbeing” gets approved, because it is not wrong, and then you spend six weeks discovering the question is unanswerable with the data you can get, the sample you can recruit, or the ethics clearance you will be granted. A proposal that says exactly what will be measured, in whom, and how, gets challenged in the supervision meeting — which is the cheapest challenge you will ever receive.

    The other cost is the supervisor relationship. Supervisors allocate attention to projects they can see. A specific proposal produces specific feedback; a vague one produces “sounds interesting, come back when you have narrowed it down”, and three weeks disappear.

    There is no single UK proposal template — find yours first

    Two named universities publish two different section lists, and both are entirely standard.

    The University of Westminster library guide lists a proposal’s possible elements as title, introduction or background, rationale, purpose, research question, hypothesis, aim, objectives, literature review, methods, significance or expected outcomes, plan of work, outline, and reference list — and notes that “word counts can vary from anywhere between 800 to 3,000 words at undergraduate, postgraduate and doctoral levels”.

    Coventry University‘s academic writing guide gives a leaner sequence: title, outline of the problem, aim, objectives, background, research methodology if appropriate, timetable, a provisional outline of the dissertation structure, conclusion, and references.

    Both are right. Yours is whichever your module handbook or proposal form prints, and the form is usually the template — if there is a proforma, fill in that, not this. What follows is what every version is asking for underneath the different headings.

    A dissertation proposal broken into its sections with one line written under each heading
    One line under every heading before you write a paragraph anywhere. The proposal becomes writable the moment it stops being one blank page.

    Section 1: The problem, in three sentences

    Open with what is going on in the world that makes this worth studying, not with what is going on in the literature. Three sentences: the situation, why it matters, and the specific corner of it you are looking at. Save the citations for the background section; here you are establishing that a reasonable person would care.

    The test: could someone outside your discipline read these three sentences and say what your dissertation is about? If not, you have written a topic rather than a problem.

    Section 2: Aim and objectives — and they are not the same thing

    This is the distinction proposals most often blur, and it is the one supervisors most often correct. Westminster puts it cleanly: the aim “echoes” your research question but “uses an infinitive”, while the objectives are “the stepping stones to achieve your aim”.

    So an aim is one sentence beginning with a verb in the infinitive: To examine whether…, To compare…, To evaluate…. One aim, not three. If you have three aims you have three dissertations and time for none of them.

    Objectives are three to five things you will actually do, each one a task with a visible output: review the literature on X and identify the gap; design and pilot a questionnaire measuring Y; collect responses from a defined population; analyse the relationship between X and Y; interpret the findings against the reviewed literature. Write them so that at the end of the project you could tick each one, or not. An objective you cannot tick is a hope.

    Section 3: The research question, narrowed until it is answerable

    A good research question names the variables or concepts, the population and, where relevant, the context. “Does social media affect wellbeing?” is a research area. “Is there a relationship between daily social media use and self-reported sleep quality among first-year undergraduates at one UK university?” is a question you can answer in a single academic year with a questionnaire and no budget.

    Narrow it against four constraints, in this order: can you get the data, can you recruit the participants, will your ethics committee approve it, and can you analyse it with methods you already have or can learn by Christmas. Most unworkable proposals fail on the second or third. If your topic is still a direction rather than a question, our guide to dissertation topic ideas by subject is the right place to start, because a proposal cannot rescue a topic you have not chosen.

    Section 4: Background — and the one sentence that has to be in it

    The proposal’s literature section is not a literature review. It is enough reading to show that you know the territory and that your question has not already been answered. A few hundred words, grouped by theme rather than by paper, and it ends in the gap statement.

    Coventry gives the shape of that sentence almost as a fill-in-the-blank: “No previous study has examined […] in sufficient detail. The present study aims to address this gap within the literature, considering […]”. Use that structure, but earn it — the claim that nothing exists is only credible if the paragraphs above it show what does. If you are deciding how systematically to search in the first place, our comparison of a literature review and a systematic review sets out which your dissertation actually needs.

    Section 5: Methodology — justify, do not list

    The single most common weakness in undergraduate proposals is a methods section that describes without defending. Coventry’s guidance is explicit that you must “explain the methods you will use to collect information in your dissertation, and explain how they allow you to achieve your aims and objectives” — the second half of that sentence is the part students drop.

    Cover five things, briefly, each with a reason attached: your overall approach (quantitative, qualitative or mixed) and why the question demands it; your participants or data and how you will reach them; your instrument or procedure; roughly how many you need and on what basis, which our guide to sample size for an undergraduate dissertation covers properly; and how you will analyse the results. Naming your analysis at proposal stage is what stops you collecting data you cannot use — the full architecture, with worked justifications, is in our walkthrough of the methodology chapter.

    Section 6: Ethics — answer it now, because it gates everything

    Coventry asks you to “explain how you propose to address anticipated problems and ethical issues”, and this is not a box to tick at the end. In UK universities the ethics decision determines whether you may collect anything at all, and approval must be in place before you approach a single participant.

    State plainly whether your project involves human participants, what data you will hold and for how long, how consent will be obtained, and whether any group in your sample makes the project higher risk. Some categories — NHS patients, children, vulnerable adults — change the process entirely and some are closed to undergraduates outright. Read our guide to ethics approval for an undergraduate dissertation before you finalise the design, not after your proposal is approved.

    Section 7: The timetable markers actually read

    Westminster notes the timeline “can be presented using different formats such as bullet points, table, Gantt chart”, and that whichever you use “your plan of work should be realistic and should demonstrate awareness of the various elements”.

    Realistic is the operative word, and it means three things. Put the ethics application before data collection with a genuine gap for the committee to meet. Assume recruitment takes twice as long as you think. And leave the final two weeks free of new work, because they will be consumed by formatting, referencing and the things you did not plan for. A timetable that ends on the submission date with everything neatly filled tells a supervisor you have never done this before; one with visible slack tells them you have thought about it.

    A supervisor and student discussing a printed dissertation proposal in a university office
    The proposal’s real job is to produce this conversation while there is still time to change the design.

    Writing it this week, in order

    1. Day one: download the proforma and write one line under every heading, however bad. The blank page is the problem; a bad line is not.
    2. Day two: fix the question. Narrow it against data, recruitment, ethics and analysis until it survives all four.
    3. Day three: read enough to write the background and the gap sentence. Six to ten sources is normally plenty at this stage.
    4. Day four: write the methodology with a reason attached to every choice, and draft the ethics answer at the same time, because they constrain each other.
    5. Day five: aim, objectives, timetable, title. These are quickest once everything else exists, which is why they come last despite appearing first on the form.
    6. Day six: read it as your supervisor will — can they tell what you will measure, in whom, and how? Format the references properly using our Harvard referencing guide, because a proposal with a broken reference list starts the relationship badly.

    If the obstacle is not knowing what to write but getting anything on the page at all, that is precisely the problem Tesify was built for. It builds the structure of your proposal and then your dissertation, section by section, drafts with you from your own research questions and sources, and maintains the bibliography in your citation style as you cite. Everything stays 100% written by you — more than 9,000 students have used it across more than 15,000 chapters. Start your proposal in Tesify free and have something to take to your supervisor this week.

    Frequently asked questions

    How long should a dissertation proposal be?

    There is no standard length. Westminster’s guidance notes that proposal word counts “can vary from anywhere between 800 to 3,000 words at undergraduate, postgraduate and doctoral levels”. Your proforma or handbook sets yours, and most undergraduate proposals sit at the lower end.

    Is the dissertation proposal marked?

    At many UK institutions it carries little or no weight in the final mark, but it is normally a required gateway — approval unlocks supervision, ethics review and data collection. Treat it as a design document rather than an assessment.

    What is the difference between an aim and an objective?

    The aim is the single result the study seeks, written as an infinitive — “to examine whether…”. The objectives are the achievable activities that get you there, described by Westminster as “the stepping stones to achieve your aim”. One aim, three to five objectives.

    Can I change my research question after the proposal is approved?

    Usually yes, within reason, and refinement is normal. Substantial changes to design or participants often need to go back through ethics, so raise anything significant with your supervisor rather than quietly proceeding.

    Do I need ethics approval before I write the proposal?

    No — the proposal normally comes first and often triggers the ethics application. What you must not do is collect any data before approval is granted, which is why the proposal has to state honestly what your project involves.

    How many sources do I need in a proposal?

    Enough to establish the territory and the gap, which is usually a handful rather than a full review. Depth matters more than count: six sources you have read and can group thematically beat twenty you have only seen abstracts of.

    Is it acceptable to use AI to write my dissertation proposal?

    Your institution’s academic integrity policy governs this, and rules differ by department, so read yours and follow any declaration requirement. The line that matters is authorship: structure, formatting and feedback on your own writing are widely accepted; submitting generated text as your own work is not. Tesify is built for the first of those — it structures and drafts with you, and every word remains yours.

    How much does Tesify cost?

    You can start free and build a real proposal and real chapters before deciding whether you need more. There is no charge to try the workflow on your actual project.

    Is my work private if I write my proposal in Tesify?

    Your work is yours — it is not published or shared into any public database, and you can export it at any time. Keeping your own exported backup is a sensible habit with any tool you write in.

    My supervisor rejected my proposal. What now?

    Ask for the specific reason and treat it as design feedback rather than a verdict — the common causes are a question too broad to answer, a method that cannot deliver the aim, or a sample that cannot be recruited. Each has a fix, and finding it now costs a week rather than a term.

    Should I write the title first?

    Write a working title first and the real one last. The title has to match the question you finish with, not the one you started with, and rewriting it at the end takes five minutes.

  • AI Harvard Referencing Generator: Fix Your Bibliography Before It Costs You Marks (2026)

    AI Harvard Referencing Generator: Fix Your Bibliography Before It Costs You Marks (2026)

    It is midnight, the chapter is done, and the bibliography still does not match the handbook: half the entries have the date in the wrong place, three are missing publishers, and you are no longer sure whether your department’s “Harvard” wants italics on the journal or the article. Referencing is where tired students bleed marks that have nothing to do with the quality of their thinking — and it is the most automatable problem in the entire dissertation. Tesify’s editor builds your bibliography automatically as you write, and you can start free.

    The real cost of a broken bibliography

    Markers meet your reference list twice: once as a formality check and once as evidence. As a formality, inconsistent referencing signals rushed work and invites the marker to look for other carelessness. As evidence, a reference list that omits sources you clearly used raises a far worse question than formatting ever could. Between those sits the time cost: students routinely spend the final days before a deadline hand-fixing citation punctuation — the exact days that should go on the conclusion and proofread. The bibliography is a solved problem in 2026, and solving it any other way than automatically is a choice to spend deadline-week hours on comma placement.

    Why “Harvard” is harder than it looks

    Because Harvard is not one style. It is a family of author–date conventions, and your department’s version — usually derived from Cite Them Right or a house style guide — differs in small, markable ways from the next university’s: where the date sits, how many authors before “et al.”, whether the accessed date is required for web sources. This is why a generic generator’s output can be simultaneously “Harvard” and wrong for your handbook. Whatever tool you use, the rule is the same one we give for reference managers in our Zotero vs Mendeley vs EndNote comparison: select your institution’s exact variant where it exists, and check a sample of output against the handbook once, early.

    A worked example: one source, four common errors

    Take a single journal article and the entry many tired students produce for it:

    Craig P, Theory and Values in Public Law, 2005, Public Law, p440

    In a typical Cite Them Right-flavoured Harvard, the same source should look closer to: Craig, P. (2005) ‘Theory and values in public law’, Public Law, pp. 440–447. Four separate errors were hiding in the first version: the date was not in brackets after the author, the article title was not in quotation marks, the journal name was not italicised, and the page range was truncated to the first page. None of these reflects the student’s understanding of public law — and all four are exactly the class of mechanical error a generator applies consistently so you never think about them again. (If your department is a law school, stop here: it almost certainly wants footnoted OSCOLA rather than any Harvard, and the formats are entirely different.)

    A reference list marked up with corrections before submission
    Every red mark here is automatable — and none of them is about the quality of your research.

    What an AI referencing generator actually does

    Three things, when it is working properly. It extracts metadata — paste a DOI, a URL or a title and it identifies the source and pulls the structured details, which is where AI genuinely improves on the older form-filling generators. It formats — applying your chosen Harvard variant’s punctuation, order and italics consistently across every entry, which is the part humans do worst at midnight. And it synchronises — keeping the reference list matched to what you actually cited in the text, so nothing cited is missing and nothing uncited pads the list.

    What no generator does is read for you. The entry it produces is only as true as the metadata it found: publisher pages mis-capitalise titles, preprint versions masquerade as published articles, and a source you never opened remains a source you never opened however beautifully it is formatted. Citing sources you have not read is a misrepresentation problem, not a formatting one — the same honesty line we draw in our guide to using AI in a literature review.

    The free options, honestly

    ZoteroBib is a genuinely free, no-account bibliography generator from the Zotero team that supports Harvard styles — for a short essay it may be all you need. Full reference managers such as Zotero handle bigger projects free as well. Ad-supported web generators also exist; they work, but watch for paywalled exports and check their output more carefully. The gap all of them share is workflow: they format references, but they do not live inside your drafting, so keeping text and list synchronised across a 10,000-word dissertation remains your manual job — and that synchronisation is precisely where deadline-week errors breed.

    How it works in Tesify

    Tesify treats the bibliography as a by-product of writing rather than a separate chore. You draft your chapters in the editor; when you cite a source, the automatic bibliography records it, formats it in your citation style, and keeps the list synchronised as you edit — add a citation and it appears, delete the paragraph and it goes. Because the list is generated from what your text actually cites, the classic failure modes — cited-but-not-listed, listed-but-not-cited — stop being possible. Everything stays 100% written by you: Tesify structures and formats; the reading, the argument and the words are yours. That is the same division of labour more than 9,000 students use it for, across more than 15,000 chapters.

    The practical workflow: set your citation style once at the start; cite as you draft rather than leaving markers like “(REF)” to resolve later; and run one final pass against your department’s handbook — the twenty-minute check that catches the variant quirks no tool can know about. Law students should start with our OSCOLA guide instead, because footnote styles change the workflow itself.

    What stays your job

    Three checks, none of them long. Verify against the handbook, not against what looks right — your department’s variant is the marking criterion, and if the handbook is ambiguous, whether references count toward the word limit is worth checking at the same time, because inclusion rules differ sharply between universities. Verify the sources are real and read — every entry should correspond to something you opened. And verify the details on the handful of odd sources — old reports, translated books, grey literature — where metadata extraction is most likely to have guessed.

    Do those three and the bibliography stops being a midnight problem. Start your dissertation in Tesify free, set your Harvard variant once, and spend deadline week on the chapters that carry the marks.

    Frequently asked questions

    Is using a referencing generator cheating?

    No. Formatting citations is clerical work, and universities do not award marks for typing punctuation by hand. What academic integrity requires is that the sources are real, that you actually used them, and that the ideas you took from them are attributed — a generator changes none of those duties.

    Do I have to declare that I used a referencing tool?

    Almost never for pure citation formatting — declaration requirements target content generation, not formatting. If your department requires an AI-use statement, follow its wording; listing a formatting tool costs you nothing.

    How much does Tesify cost?

    You can start free and build real chapters with the automatic bibliography before deciding whether you need more. There is no charge to try the workflow on your actual dissertation.

    Is my dissertation safe if I write it in an online tool?

    Your work in Tesify is yours: it is not shared, published or added to any public database, and you can export your text. For any tool you use, the sensible habit is the same — keep your own exported backup of the current draft.

    Will the generated references match my university’s Harvard exactly?

    Choose your institution’s variant where available and the output will be close; the final authority is your handbook, and one sample check early in the project tells you whether anything needs adjusting. No tool can know an unwritten departmental preference.

    Can it reference websites, reports and lecture slides, not just journals?

    Yes — author–date styles have formats for grey literature, and the generator applies them. These are also exactly the source types where you should double-check the extracted details, because their metadata is the least standardised.

    What is the difference between a reference generator and a reference manager?

    A generator formats citations you feed it; a manager also stores your library, PDFs and notes across the whole project. For a dissertation you want managed references and generated formatting — Tesify does the second inside your draft, and pairs happily with a library in Zotero.

    My references are done but the chapters are not. Can Tesify help with those?

    Yes — that is the main job. It structures your dissertation chapter by chapter and helps you draft around your own research, with the bibliography maintained automatically as you go. Everything remains 100% written by you.