LmCast :: Stay tuned in

Show HN: Revise – An AI Editor for Documents

Recorded: March 22, 2026, 10 p.m.

Original Summarized

Revise - AI editor for your documentsReviseProductAI Writing AssistantFor StudentsFor ProfessionalsToolsAI ProofreaderCheck an EssayWrite an EssayVibe WritingTranslate a DocumentSummarize a DocumentParaphrase TextSimplify TextAI Writing AssistantChange Writing ToneHelpWelcome to ReviseAI AgentRevision HistorySharing DocumentsKeyboard ShortcutsPDF ScannerPricingRevise is an AI editor foryour documentsLaunch EditorImport DocumentProofread anything with AI, and review each change inlineArialBIUSizeNormalx2123x2TableCodeEquationDiagramImageDictateExportSettingsAI AgentGPT-5.4A smarter word processorUse the leading AI modelsChoose between the latest models from OpenAI, Anthropic, and xAI.GPT 5.4 MiniGPT 5.4GPT 5.4 ProClaude Haiku 4.5Claude Sonnet 4.6Claude Opus 4.6A fully integrated AI agentWork side-by-side with the AI agent in the same interface.In the investor update sent on May 3, the company said the pilot program would begin in July and remain limited to three cities through the end of the quarter. But a later section describes customer feedback from the pilot as if the rollout had already expanded nationwide in June, creating a timeline that could holdThe report also says subscription revenue fell 12 percent because pricing stayed flat, then later credits strong revenue growth to a price increase that supposedly took effect during the same period. An editor reviewing the draft would immediately flag that mismatch, since both explanations cannot be true without more context about when the change happened and which customer segment it affected.AI AgentI'll review this for inconsistenciesReviewing your report...Work on existing documentsImport your Word documents and Google DocsProofread, revise, and perfect your existing documents.Extract content from any PDFConvert PDFs into rich text documents using multi-modal LLMs.MIT Guide to Lock PickingTed the ToolSeptember 1, 1991DistributionCopyright 1987, 1991 Theodore T. Tool. All rights reserved.Permission to reproduce this document on a non-profit basis is granted provided that this copyright and distribution notice is included in full. The information in this booklet is provided for educational purposes only.August 1991 revision.Chapter 1It's EasyThe big secret of lock picking is that it's easy. Anyone can learn how to pick locks.The theory of lock picking is the theory of exploiting mechanical defects. There are a few basic concepts and definitions but the bulk of the material consists of tricks for opening locks with particular defects or characteristics. The organization of this manual reflects this structure. The first few chapters present the vocabulary and basic information about locks and lock picking. There is no way to learn lock picking without practicing, so one chapter presents a set of carefully chosen exercises that will help you learn the skills of lock picking. The document ends with a catalog of the mechanical traits and defects found in locks and the techniques used to recognize and exploit them. The first appendix describes how to make lock picking tools. The other appendix presents some of the legal issues of lock picking.The exercises are important. The only way to learn how to recognize and exploit the defects in a lock is to practice. This means practicing many times on the same lock as well as practicing on many different locks. Anyone can learn how to open desk and filing cabinet locks, but the ability to open most locks in under thirty seconds is a skill that requires practice.Make it your ownA word processor that gets to know youRevise learns and remembers your preferences the more you use it.Use my pronouns: they/them.I like direct feedback, not fluffy praise.Default to US spelling.Short paragraphs help me skim.My audience is first-time founders.Avoid exclamation points.Always format my papers in APA 7I am interviewing for climate-tech roles.Use the Oxford comma.Keep summaries to 5 bullets max.Call me Chris, not ChristopherExamples should feel practical, not academic.I write in a warm, precise tone.Mention accessibility when it matters.I usually want a concise first draft.Prefer examples that include the schema diff, rollback plan, on-call escalation path, and the user-visible failure mode.Keep email drafts under 120 words.I like calm, confident wording.If you make a performance claim, cite the benchmark setup, workload shape, sample size, and baseline you compared against.Default to concrete API contracts with request and response payloads, pagination rules, and idempotency semantics instead of analogies.Please don't call me a power user.I prefer metric units.I am applying to product design roles.Call out any breaking API change, data backfill, index migration, or client version gate before you recommend shipping it.Keep introductions short.I like examples from education and healthcare.Avoid corporate jargon.I prefer plain English over buzzwords.Use title case only for slide titles.I am dyslexic, so clarity beats cleverness.I trust p95s, error budgets, queue depth, and incident counts more than adjectives like robust, seamless, or enterprise-grade.Write requirements as numbered acceptance criteria with edge cases, retry behavior, and explicit non-goals, not a narrative paragraph.I work best with one recommendation at a time.Include p95 latency budgets, concurrency assumptions, queue depth limits, and throughput targets so the recommendation is operationally credible.Assume a US enterprise environment with SSO, SCIM, audit logs, retention policy, and SOC 2 or HIPAA review questions.I prefer em dashes sparingly.Keep code comments short, literal, and close to the invariant they protect; do not narrate obvious control flow.I like interview answers to sound conversational.If there is a tradeoff, tell me directly in terms of consistency, blast radius, migration cost, and developer ergonomics.Save your promptsFine-tune your favorite prompts, then use them with a single click.StepsMeasure flour into a mixing bowl and sprinkle in desired amount of cinnamon. If desired, sift this mixture to remove clumps.In a stand mixer or using hand mixer, beat together peanut butter, pumpkin puree, and molasses on medium speed until smooth.Add the flour to the peanut butter mixture in several batches, mixing together on low speed until just incorporated.Using hands, press the dough into a ball. Use immediately or store in fridge wrapped.Cut⌘XCopy⌘CPaste⌘VSelect AllGeneral proofreadExtract ingredients listRecipe styleguide checkShorten for intro⌘APromptsTry Revise with one of these promptsProofread a document...Change writing tone...Simplify text...Translate a document...Summarize a document...Paraphrase text...Get things done faster with Revise - it's like ChatGPT for Word documents.Get started for freeReviseAI editor for documentsTerms and ConditionsPrivacy PolicyPricing© 2025 Migraine, Inc.ToolsAI ProofreaderCheck an EssayWrite an EssayVibe WritingTranslate a DocumentSummarize a DocumentParaphrase TextSimplify TextAI Writing AssistantChange Writing ToneLearnUser GuideStudentsProfessionalsClaude for WordClaude for Google DocsChatGPT for WordChatGPT for Google DocsContactsupport@revise.io𝕏 @reviseio

ReviseAI offers a suite of AI-powered tools designed to enhance document editing and writing across various contexts. The core proposition centers around leveraging advanced AI models, including GPT-5.4, Claude Haiku, Claude Sonnet, and Claude Opus, to streamline workflows and improve document quality. Users can access these models through a unified agent interface, facilitating seamless interaction and collaborative editing. The system’s capabilities extend to proofreading, revising, summarizing, paraphrasing, translating, and simplifying text, catering to both student and professional needs.

A key feature of ReviseAI is its personalized user profile, which adapts to individual writing preferences. This profile incorporates specific instructions such as a preference for direct feedback, avoidance of exclamation points, adherence to the APA 7th edition style guide, and the use of metric units. This customization is intended to refine the AI’s output to align with the user’s distinct communication style. The interface also emphasizes concise communication and actionable recommendations, frequently utilizing bullet points to distill complex information.

The system supports integration with popular document platforms including Microsoft Word and Google Docs, enabling users to seamlessly import and revise existing documents. Additionally, ReviseAI’s PDF scanning and conversion functionality allows for the extraction of content from PDF files, converting them into editable text formats. A significant aspect of the system involves the “AI Agent,” which actively reviews documents for inconsistencies and offers targeted suggestions and revisions. This agent is driven by GPT-5.4, offering a smarter word-processing experience. The platform also introduces a “Save Your Prompts” feature allowing users to fine-tune and reuse prompts for consistent results.

The underlying technology utilizes multi-modal Large Language Models (LLMs) for text and content extraction, reflecting a modern approach to document processing. The emphasis on operational credibility is evident in the recommendations, which incorporate details such as p95 latency budgets, concurrency assumptions, and queue depth limits – suggesting a focus on practical, measurable improvements. The entire system is framed around the concept of a ChatGPT-like experience for Word documents, offering a streamlined and intelligent assistance for document creation and refinement.