Refine.ink
ClaudecommunityAI proofreader for serious academic and technical writing — it critiques your manuscript like an expert reviewer, surfacing flaws in arguments, methods, and rigor.
Refine
Refine is an AI-powered proofreading and critique engine built for researchers, academics, and technical writers — the people whose work is judged on the soundness of its arguments, not just its grammar. Unlike generic writing assistants that draft or paraphrase text for you, Refine deliberately does the opposite: it acts as a rigorous expert reviewer. You upload a document (PDF, DOCX, and more), and Refine analyzes it the way a demanding peer reviewer or editor would — interrogating the logic of your arguments, auditing the statistics and mathematics behind your results, flagging unsupported claims, methodological gaps, inconsistencies, and weaknesses in structure and exposition. It returns detailed, anchored feedback comments tied to specific passages, each with a clear justification and concrete suggestions for improvement. The core philosophy is critique, not draft. Refine never hands you replacement prose to paste in; it tells you what's wrong and why, leaving the authorship — and the thinking — with you. This is the wedge that distinguishes it from tools like ChatGPT, Thesify, or coarse.ink: it strengthens the author rather than substituting for them, which is exactly what scholarly and grant-funded writing demands. Beyond one-shot feedback, Refine lets you chat with an AI assistant about each comment — to get explanations, push back, or work through how to address an issue. It tracks which comments you've addressed across revisions, supports sharing reviews with collaborators, and is increasingly used by institutions: universities, research organizations, and partners like the Econometric Society value its detailed technical auditing of results and arguments. Refine serves individual researchers (per-document and subscription plans) as well as teams and institutions, with a growing focus on grant applications and high-stakes academic submissions where the cost of a weak argument is highest.
Anthropic’s own published signals, snapshot of August 5, 2026; units undocumented — treat as ordinal.
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Tools(35)
- chatbot_deleteConversation
- chatbot_getConversationHistory
- credits_getCreditScore
- documents_deleteDocument
- documents_getAppendices
- documents_getDocumentContent
- documents_processDocument
- documents_uploadEvents
- history_addressComment
- history_deleteCommentAction
- history_deleteHistorySession
- history_dismissComment
- history_getHistorySession
- history_listHistory
- history_markHistoryViewed
- history_requestSessionAccess
- history_updateVisibility
- marketing_getMarketingPreferences
- marketing_updateMarketingPreferences
- organizations_allocateCreditsToUser
- organizations_deallocateCreditsFromUser
- organizations_getConsumption
- organizations_getCredits
- organizations_requestOrgCredits
- processing_getProcessingStatus
- products_getProducts
- referrals_getReferralStatus
- referrals_registerReferralEndpoint
- send_chatbot_message
- subscriptions_cancel
- subscriptions_createUpgradeCheckoutSession
- subscriptions_downgrade
- subscriptions_getStatus
- upload_document
- watch_processing_progress
Data from Claude’s public directory API, snapshotted daily by the MCP App Tracker. A listing describes what the directory publishes — not an endorsement.