The output
What the Llama style analyzer gives you back
The result is a short written report, not a panel of numbers. It names what the prose is doing: the register, the range of sentence lengths, the constructions that keep returning, the points where the voice changes between sections. Nothing in it is a grade and nothing in it is a percentage.
Plan the edit around that. A report you can read is something you can act on line by line, which is the opposite of a readability index that moves by a decimal point when you cut a word. The report is capped at 1,400 tokens, so it stays short enough to work through in one pass.
Sequencing
When to run a Llama style analyzer in an edit
After the structure is settled and before the line edit. Running it on a draft you are still reorganising wastes a run, because half the findings will describe paragraphs you are about to move or delete.
It also belongs after any assembly step. Drafts stitched together from several model outputs are where voice drift lives, and drift is the one thing a style reading catches that a spell check never will.
- Too early
- Outline stage, or a draft with sections still missing. The report describes a shape you have not finished making.
- Right time
- Full draft, structure fixed, before you rewrite sentences. Findings map directly onto edits.
- Useful again
- After the rewrite, on the same passage, to see whether the habit you were chasing actually went away.
Workflow
How to analyze Llama writing style in three steps
Text is sent to our AI server, read there and returned. Nothing is stored as a document and no account is created.
- Step 1
- Paste the passage. The server accepts 1 to 12,000 characters and refuses anything outside that before the run counts against you.
- Step 2
- Write an instruction of up to 300 characters naming what you want looked at, then run it.
- Step 3
- Work the findings into the draft one at a time, then re-run the same passage if you want to check the habit is gone.
Setup
Writing an instruction the style analyzer can use
There is no dropdown of named styles here and no audience preset. Other analyzers offer a fixed tone scale of formal, casual, aggressive, friendly and neutral. This one takes 300 characters of your own words instead, which is looser but lets you name the thing you actually care about.
Concrete beats broad. An instruction that names a comparison or a target gives a report you can act on, while one that asks for everything gives a tour of the obvious.
- Good
- Tell me whether the tone matches a technical changelog or drifts into marketing copy.
- Good
- Focus on sentence length variety and flag any paragraph where every sentence lands the same length.
- Weak
- Analyse my writing style. That is already the job, so the instruction adds nothing.
Limits
Budgeting five runs across one draft
Five runs per rolling 24 hours is the whole allowance, and the window rolls forward from when you started rather than resetting overnight. Competing tools advertise unlimited usage and some of them mean it. This one does not, and planning around that matters more than resenting it.
A workable split for a long piece: one run on the opening, one on a middle section, one on the close, leaving two for re-checks after editing. That gives you a picture of whether the voice holds across the piece, which is more useful than three reports on the same introduction.
Scope
What the Llama style analyzer will not tell you
It will not tell you who or what wrote the text. The instruction sent with every run says never claim certainty about authorship, plagiarism, or which AI model wrote text, and the report follows it. If your goal is a verdict on authorship, no tool on this site provides one.
It also will not correct anything. No grammar fixes, no spelling, no rewritten paragraph handed back. Tools that bundle correction and plagiarism checks into the same screen exist, and this is not one of them. You get a description, and the editing stays yours.
Privacy
A server route, and what that means for your draft
Style reading needs a language model, so this text leaves the browser. That separates it from the watermark and hidden character tools here, which do their work locally and upload nothing. Analyzers that advertise browser only processing are making a claim this route cannot make.
Practical consequence for a workflow: treat it like any other service you paste client work into. The run counter is keyed to a hashed identifier rather than a login, so there is no profile, but the passage itself is transmitted to be read.
In practice
Who runs the Llama style analyzer, and when
Content teams auditing whether three writers and a model still sound like one publication. Technical writers checking a release note has not drifted into promotional register. Students who have been told a submission reads as machine written and need the specific sentences named before they can defend or fix them.
In each case the analyzer sits between finishing the draft and touching it. It tells you where to look. The decision about what to change is still a judgement call, and it should be.