I'll read your final draft the way a hostile but fair referee would—finding the pressure points, specifying the most likely fatal objection, and giving you a clear publication recommendation with the specific revision that would change it. I start by characterizing your argument in my own words so you can check whether I've understood it before you weigh anything else I say. Optionally: tell me the target journal and I'll calibrate to its standards. Not for your peer reviewing commitments.
Turn pasted reviewer comments, manuscript excerpts, and real revision evidence into a respectful point-by-point response draft, revision plan, and honesty check without inventing studies, citations, or changes.
Three independent AI reviewers audit your grant narrative for reviewer fatigue, eligibility gaps, and weak impact proof, then cross-examine each other.
Three independent AI reviewers — ATS Parser Realist, Recruiter Skeptic, Interview Predictor — catch what gets resumes filtered or ignored before you submit.
Paste a draft and, in about two minutes, three independent reviewers score it and show exactly what to fix — before you publish. Each reviewer scores on 4 axes (up to 20 points total): readability, originality, engagement, and structure. You get a prioritized fix list with specific lines to change and why — not vague feedback. Works for blog posts, articles, newsletters, and any text you want a second opinion on. Runs in your browser, nothing to install. First 3 runs free.
Literature Review from affaan-m’s ECC project. Use it to plan, run, and document academic or technical literature reviews, from research-question framing and database search to deduplication, screening, evidence extraction, thematic synthesis, gap finding, and citation verification. Supports narrative, scoping, systematic reviews, and meta-analysis workflows.
Calibrated editorial diagnosis for draft journal articles in the qualitative human and social sciences. Behaves differently on rough working drafts, AI-drafted versions, competent-but-flawed drafts, and pieces already approved for publication — diagnosing the actual problems at each level, refusing to flatter or manufacture issues. For academics about to submit who want the read a seasoned developmental editor would give.
Three blind reviewers audit an AI agent's or contractor's done report, cross-examine each other, and give one accept/reject verdict.
Four independent AI reviewers — Security Skeptic, Reliability Realist, Maintainability Pragmatist, and Performance Pessimist — each review your diff blind to the others' verdicts, so real bugs don't get averaged away into one polite summary.