Film 0121s
Every rule.
Your journal's own rules, plus Waraq's 40 — run on every line. From heading order to reference style, nothing in your submission rides on luck.
The review agent
Your paper, read like a reviewer reads it.
Seven review agents read your manuscript against your target journal's own rules and hand back native Word tracked changes, every one cited. You accept or reject each, inside Word.
Trained on the rules of 15,000 journals, including
NatureScienceThe LancetCellBMJJAMAPLOS OneIEEE Access
waraqMAX MODE
WARAQ SCORE
82/100
The results utilise use a mixed-methods design.
PLAIN LANGUAGE
Meet Reviewer 2
Meet Reviewer 2. Before the journal does.
Waraq reads your manuscript like the harshest reviewer, then hands you every fix as real Word tracked changes. In minutes, not months.
Tracked changes
Every fix, as real Word edits.
Cited
Every change cites a real rule.
Minutes
Reviewed while your coffee's hot.
Journal rules
Reviewed against your target journal.
Your voice
Still your words, still your paper.
Published
Built to get past the desk.
Your first paper, published, not desk-rejected.
The review
What comes back to your desk.
Not a chat transcript. A reviewed file with tracked changes you accept or reject inside Word, findings cited to your journal's rules, a score you can defend, and a reviewer you can question.
The results suggest the intervention was very effective associated with a 23% improvement across all cohorts, although attrition in the control group was not fully reported is reported in Table S2.
Clarity · §3.1 · accepted ✓
Quantify the effect size; replace the qualitative claim.
PRISMA 2020 · §17
Report attrition for every arm. Now cited to Table S2.
Figure 2 · effect by cohortagent · checking figures
Cohort C axis started at 40 and exaggerated the effect. Rescaled to zero.
Waraq score
74/ 100
Structure82
Clarity71
Citations68
Journal fit74
Ready to resubmit after 14 accepted changes.
Ask the reviewer
Why flag the attrition sentence?
PRISMA 2020 §17 asks for attrition reported in every arm. Your counts already exist in Table S2, so the revision cites them and the journal's reviewer never has to go looking.
PRISMA 2020 · §17
Upload your paper →
Runs on your own paper, in the app.
Inside the app
Seven agents. One review.
A Waraq review is not one model's opinion. Seven specialised agents run on your manuscript in sequence, each with one job, each writing its edits and citations into the same tracked-changes file.
IMRaD order matches the journal template
Abstract at 247 of 250 words
Limitations missing from Discussion — edit written
12 hedged claims rewritten as findings
Passive voice cut from 31% to 14%
'very effective' — quantified, edit written
41 references restyled to the journal's format
2 references never cited in text — flagged
DOIs and years checked against the list
PRISMA 2020 checklist, all 27 items
Attrition missing for control arm — cited to Table S2
Sampling and power reporting present
Effect sizes reported with confidence intervals
3 claims resized to what the data shows
No result stated beyond the tested cohorts
Every citation exists — nothing fabricated
Limitations stated in the authors' own words
Attrition and exclusions on the record
Scope match against the journal's aims
Formatted to the journal's template
Word count 4,800 of 5,000 — inside the limit
One file back · every edit signed by the agent that made it
The campaign
The work, in motion.
Three short films from the review desk. Every rule checked, every rejection headed off, every minute accounted for.
Film 0220s
Rejected.
Most desk rejections are never explained. Waraq finds the trigger, cites the rule behind it, and fixes it before an editor ever sees your file.
Film 0325s
Minutes.
A full seven-agent review at a median of four minutes, returned as tracked changes while your coffee is still hot.
Journal fit
Matched against 15,000 journals. Not a guess.
Waraq is trained on the published rules of over fifteen thousand journals. Paste your abstract or a topic, and it ranks the ones that actually fit, then reviews your paper against the winner's exact guidelines.
mixed-methods study, adolescent mental health, MENA region
Top matchesRANKED BY FIT
L
The Lancet Regional Health
Elsevier · Q1
94
% fit
B
BMJ Open
BMJ · Q1
90
% fit
F
Frontiers in Public Health
Frontiers · Q2
86
% fit
Find your journal →
Every match is scored against the journal's real scope, method preferences, and formatting rules, not a keyword guess. Pick one, and the review runs against its exact guidelines.
Works with every journal
Yours not in the 15,000? Paste its author guidelines or upload the journal’s own rules, and Waraq cross-checks your paper against them, rule by rule.
The research agent
Your next paper starts before you write it.
While you work, the Research Agent reads what publishes in your field, flags the questions nobody has answered, ranks the journals that would want the answer, and hands your draft straight to the seven-agent review.
SCAN
Reads the new literature in your field, week by week.
GAP
Flags the questions nobody has answered yet.
TARGET
Ranks journals by real scope and method fit.
REVIEW
Hands your draft to the seven-agent review.
scanning 214 new papers in your field
Gap found
No study pairs this method with your population.
target · Q1 journal · fit 92%
The results utilise use a mixed-methods design.
Pricing · one review, done right
Start this week. Publish this year.
One review, the same on every plan: a full Peer Review in MAX mode, our best model. Plans differ only by how many papers you review each period. Less than one submission fee.
Billing
Tier
Pro+
16 papers a month
$59
per month
Peer Review MAX MODE — our best model
Every fix cited to a journal rule
Native Word tracked changes
Unlimited re-reviews of the same paper
& cards
SECURE CHECKOUT VIA POLAR·CANCEL ANYTIME
Sign in with email and a one-time code. See results in minutes.
Human presubmission review runs $149 to $799 per manuscript.
Peer Review · MAX mode
OUR BEST MODELS · A FEW MINUTES
Every plan runs the same review: a senior reader on argument, evidence, and method soundness, each point cited to your target journal's rules and returned as native Word tracked changes. Plans differ only in how many papers you review each period.
Why Waraq, not a chatbot
How it works: every review is a full read, cited to your target journal's rules. Your plan refills automatically each period.
Your manuscript, reviewed.
Waraq edits your writing. It does not write for you. Upload your paper and see results in minutes.