The output
What the Llama thesis checker returns
A short written report on the section you pasted. It names whether the central claim is stated in a form you could argue against, whether the paragraphs underneath it actually carry that claim forward, and what the prose is doing while it does that: repetition, hedging, sentence lengths that never vary.
What does not come back is just as important for planning. No marked up file, no track changes, no rubric score and no percentage. Other tools in this category hand you a corrected document; this one hands you a description and leaves the editing where it belongs.
Sequencing
Where a thesis check fits before submission
Late enough that the argument is settled, early enough that you can still act on it. A check run on a chapter you are still restructuring describes paragraphs you are about to move, which is a wasted run out of five.
The useful slot is the pass where you stop writing and start reading: after the draft is complete, before the supervisor copy goes out, and again after any section you rebuilt from scratch.
- Too early
- Half written chapter with sections still to come. The report describes gaps you already know about.
- Right time
- Complete section, argument fixed. Findings map onto specific paragraphs you can edit today.
- Worth repeating
- After a rewrite, on the same section, to see whether the habit you were chasing is actually gone.
Workflow
How to run the Llama thesis checker in three steps
The text is posted to our AI server, read there and returned in the same response. No account is created at any point.
- Step 1
- Copy one section out of your document and paste it in. The field takes 1 to 12,000 characters and refuses more before the check is spent.
- Step 2
- Name the focus in up to 300 characters, for example: tell me whether every paragraph here supports the claim in the opening.
- Step 3
- Work through the findings in your own file, then re-check the same section if you want to confirm the fix.
Coverage
Which sections of a thesis are worth checking
Sections have different jobs, so a check is worth more on some than others. Spending all five runs on a methods chapter is the most common way to waste them, because methods writing is supposed to be uniform and the findings will keep saying so.
Prioritise the parts that carry an argument. That is where an unclear claim does real damage and where a reader forms an opinion of the whole thesis.
- High value
- Introduction, discussion, conclusion. These are meant to argue, so vagueness and drift show up as real problems.
- Medium value
- Abstract. Short enough to check cheaply and the piece most people read first.
- Low value
- Methods and literature review. Conventionally uniform and hedged, so a report calling them repetitive is describing the genre.
Limits
Budgeting five checks across a thesis
Five per rolling 24 hours, and the window moves forward from your first check rather than resetting overnight. It is a real constraint and worth planning around rather than discovering at eleven at night before a deadline.
A workable split: introduction, discussion, conclusion on the first day, leaving two checks for re-reads after you have edited. Tomorrow's window covers the abstract and whatever the first pass exposed. Competing free tiers wall this differently, capping the text at a few hundred words at a time or metering monthly gradings, so the shape of the limit differs more than the fact of it.
Scope
What the Llama thesis checker will not do
It will not tell you who wrote the text. The instruction sent with every run says never claim certainty about authorship, plagiarism, or which AI model wrote text, so no probability and no per sentence flagging comes back. If you need a verdict for a disciplinary process, nothing here provides one.
It also will not proofread, check citations, run a similarity search or produce a grade. No style guide is applied, no reference list is parsed, no rubric is scored. Everything it gives you is a description of the passage you pasted.
Privacy
A server route, and your unpublished work
Reading a section needs a language model, so this text leaves your browser and goes to our AI server. The watermark and hidden character tools on this site work locally and upload nothing. This route is not one of those, and a page that blurred the two would be misleading about one of them.
Practical handling: if the thesis is under embargo, covers confidential fieldwork or contains participant data, paste a section that does not, or paraphrase before you check. The run counter is keyed to a hashed identifier rather than a login, so there is no profile attached, but the text itself is transmitted.
In practice
Who runs the Llama thesis checker, and when
Postgraduates doing a last read of an introduction that has been rewritten four times and no longer matches the conclusion. Supervisors who want the obvious prose problems listed before they spend their comments on the argument. Writers who drafted a summary section with a model and want to know how much of that draft still shows.
In every case the check is a reading step, not an editing step. It tells you which paragraph to open. The decision about what to do there stays with the person who knows the research.