{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_prosepilot","slug":"prosepilot","name":"ProsePilot","type":"product","url":"https://www.prosepilot.com","page_url":"https://unfragile.ai/prosepilot","categories":["text-writing","testing-quality"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_prosepilot__cap_0","uri":"capability://text.generation.language.real.time.grammar.and.style.correction.with.readability.preservation","name":"real-time grammar and style correction with readability preservation","description":"Analyzes prose as users type using a multi-pass NLP pipeline that identifies grammatical errors, stylistic inconsistencies, and readability issues without over-correcting or altering authorial voice. The system applies rule-based grammar checking combined with statistical language models to suggest improvements while preserving tone and intent, surfacing corrections inline within the editor with confidence scores and alternative phrasings.","intents":["I want grammar corrections that don't strip my writing of personality","I need to catch typos and structural errors without manual proofreading","I want suggestions ranked by severity so I can prioritize what to fix"],"best_for":["freelance writers and journalists who need quality assurance without losing voice","non-native English speakers writing professional content","marketing teams producing high-volume content who need consistency"],"limitations":["Real-time processing adds ~50-150ms latency per keystroke depending on document length","Context window limited to surrounding paragraphs, so long-form consistency issues may be missed across chapters","Stylistic suggestions are rule-based and may not understand domain-specific jargon or creative writing conventions"],"requires":["Modern browser with WebSocket support for real-time updates","Active internet connection for NLP model inference","Minimum 2MB document size support"],"input_types":["plain text","markdown","rich text (HTML)"],"output_types":["inline annotations with correction suggestions","structured metadata (error type, severity, confidence score)","alternative phrasings"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_1","uri":"capability://data.processing.analysis.integrated.seo.metrics.analysis.with.keyword.density.and.readability.scoring","name":"integrated seo metrics analysis with keyword density and readability scoring","description":"Extracts and analyzes on-page SEO signals in real-time by parsing document content against configurable keyword targets, calculating keyword density, tracking heading hierarchy, measuring readability metrics (Flesch-Kincaid, Gunning Fog), and flagging meta-tag optimization opportunities. The system maintains a live dashboard within the editor showing SEO health score, keyword distribution across sections, and readability grade level, with actionable recommendations tied to specific paragraphs.","intents":["I need to optimize my content for target keywords without hiring an SEO specialist","I want to ensure my content is readable while maintaining keyword relevance","I need to see SEO metrics update as I write so I can adjust in real-time"],"best_for":["freelance content creators and bloggers optimizing for organic search","small marketing teams managing multiple content pieces without dedicated SEO tools","e-commerce product description writers balancing conversion copy with search visibility"],"limitations":["Keyword analysis is surface-level (density-based) and doesn't account for semantic relevance or search intent like Surfer or Semrush","No backlink analysis, competitor comparison, or SERP ranking tracking","Readability metrics are formulaic (Flesch-Kincaid) and may not reflect actual user comprehension for technical or specialized content","No integration with Google Search Console or ranking data, so recommendations are not tied to actual search performance"],"requires":["Target keywords configured in project settings","Minimum 300 words of content for meaningful analysis","Optional: meta description and title tag fields"],"input_types":["plain text","markdown","HTML with semantic tags"],"output_types":["SEO health score (0-100)","keyword density percentages","readability grade level","structured recommendations (array of actionable suggestions)","visual heatmap of keyword distribution by section"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_2","uri":"capability://automation.workflow.collaborative.document.editing.with.presence.awareness.and.comment.threading","name":"collaborative document editing with presence awareness and comment threading","description":"Enables multiple users to edit the same document simultaneously with real-time synchronization of changes, cursor position tracking showing where collaborators are working, and threaded comment system for feedback without disrupting the document flow. The system uses operational transformation (OT) or CRDT-based conflict resolution to merge concurrent edits, maintains a version history with rollback capability, and provides user presence indicators (avatars, cursor colors) to prevent edit collisions.","intents":["I need my team to review and edit content together without emailing versions back and forth","I want to see where my collaborators are editing in real-time so we don't overwrite each other's work","I need to leave feedback on specific sections without cluttering the main document"],"best_for":["small marketing teams (2-5 people) collaborating on blog posts and content calendars","freelancers working with editors or clients for feedback loops","agencies managing multiple client projects with shared editing workflows"],"limitations":["Real-time synchronization latency is higher than Google Docs or Notion (typically 200-500ms vs. <100ms) due to architectural constraints","No built-in permission granularity — all collaborators have equal edit rights; no read-only or comment-only roles","Comment threading lacks rich formatting and inline resolution tracking compared to Microsoft Word or Confluence","No integration with external review workflows (Slack notifications, email digests) or approval chains","Version history is limited to last 30 days or 100 versions, whichever comes first"],"requires":["Shared workspace or project created in ProsePilot","Collaborators must have active ProsePilot accounts","Stable internet connection for real-time sync","Modern browser with WebSocket support"],"input_types":["plain text","markdown","rich text edits from multiple users"],"output_types":["merged document with conflict resolution","presence metadata (user, cursor position, active selection)","comment threads with timestamps and user attribution","version history snapshots"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_3","uri":"capability://text.generation.language.tone.and.voice.detection.with.style.consistency.checking","name":"tone and voice detection with style consistency checking","description":"Analyzes prose patterns to identify and track the document's dominant tone (formal, conversational, technical, etc.) and voice characteristics (sentence length variation, vocabulary complexity, punctuation patterns), then flags inconsistencies where tone shifts unexpectedly. The system builds a style profile from the first 500-1000 words and compares subsequent sections against this baseline, surfacing deviations with suggestions to realign or intentionally shift tone when appropriate.","intents":["I want to maintain consistent brand voice across multiple sections written by different team members","I need to detect when my writing tone shifts unintentionally mid-document","I want to intentionally shift tone for different sections but need to see where I'm doing it"],"best_for":["marketing teams managing brand voice consistency across content","publishers and editorial teams ensuring consistent tone across bylines","non-native writers learning to maintain consistent English tone"],"limitations":["Tone detection is statistical and may misclassify domain-specific or creative writing conventions","No support for detecting tone shifts across multiple documents or content series","Baseline profile requires minimum 500 words to establish, so short-form content gets generic suggestions","Cannot distinguish between intentional and unintentional tone shifts without explicit user markup"],"requires":["Minimum 500 words of content for baseline tone profile","Optional: reference documents or style guides to anchor tone expectations"],"input_types":["plain text","markdown"],"output_types":["tone classification (formal/conversational/technical/etc.)","style profile metadata (avg sentence length, vocabulary complexity, punctuation patterns)","consistency flags with deviation severity","suggestions to realign or intentionally shift tone"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_4","uri":"capability://data.processing.analysis.content.structure.analysis.with.heading.hierarchy.validation","name":"content structure analysis with heading hierarchy validation","description":"Parses document structure to validate heading hierarchy (H1 → H2 → H3 progression), detects orphaned sections without proper heading context, identifies overly long sections without subheadings, and flags readability issues caused by poor structure. The system generates a table of contents from heading tags, highlights structural gaps, and suggests heading placement to improve scannability and SEO (heading tags are ranking factors).","intents":["I want to ensure my document has proper heading hierarchy for both readability and SEO","I need to identify sections that are too long and should be broken up with subheadings","I want to auto-generate a table of contents from my document structure"],"best_for":["content creators optimizing for both user experience and search engine crawlability","technical writers ensuring documentation is properly structured","publishers managing long-form content with multiple sections"],"limitations":["Heading hierarchy validation is rule-based and doesn't account for semantic meaning, so it may flag valid non-sequential heading structures","No integration with accessibility standards (WCAG) beyond basic heading hierarchy","Section length recommendations are based on word count thresholds, not actual content complexity or user intent","Table of contents generation is basic and doesn't support custom formatting or depth filtering"],"requires":["Document with heading tags (H1-H6) or markdown heading syntax","Minimum 300 words for meaningful structure analysis"],"input_types":["markdown with heading syntax","HTML with heading tags","rich text with heading styles"],"output_types":["heading hierarchy validation report","auto-generated table of contents","structural gap alerts (orphaned sections, missing subheadings)","section length analysis with recommendations"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_5","uri":"capability://safety.moderation.plagiarism.detection.and.originality.scoring","name":"plagiarism detection and originality scoring","description":"Compares document content against a database of published web content, academic papers, and other sources to identify potential plagiarism or unoriginal passages. The system calculates an originality score (0-100%) for the entire document and highlights suspicious sections with similarity percentages and source attribution, using fingerprinting and fuzzy matching to detect paraphrased content, not just exact matches.","intents":["I need to verify my content is original before publishing","I want to check if my team members are submitting plagiarized work","I need to ensure I'm not accidentally duplicating content from my own previous posts"],"best_for":["publishers and editorial teams enforcing originality standards","academic institutions and educators checking student submissions","content agencies managing multiple writers and ensuring quality control"],"limitations":["Plagiarism detection relies on indexed web content and may miss recent publications or paywalled sources","Fuzzy matching for paraphrased content has high false-positive rates for common phrases and industry terminology","No support for detecting self-plagiarism across multiple documents without manual comparison","Database coverage is limited to English-language content; non-English plagiarism detection is unreliable","API rate limits may cause delays for large batch checks"],"requires":["Active internet connection to query plagiarism database","Minimum 100 words of content for meaningful analysis","Premium subscription tier for plagiarism checking (not available in free tier)"],"input_types":["plain text","markdown","HTML"],"output_types":["originality score (0-100%)","highlighted suspicious passages with similarity percentages","source attribution with URLs","detailed plagiarism report with match breakdown"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_6","uri":"capability://search.retrieval.keyword.research.and.topic.clustering.with.content.gap.analysis","name":"keyword research and topic clustering with content gap analysis","description":"Analyzes target keywords provided by the user and clusters related terms by semantic similarity, identifies keyword gaps in the current document, and suggests related topics that could expand content coverage. The system uses word embeddings and co-occurrence analysis to group keywords, calculates keyword difficulty and search volume estimates (from public data), and recommends content expansion opportunities based on topic clusters.","intents":["I want to find related keywords and topics to expand my content coverage","I need to identify keyword gaps in my current document","I want to understand which keywords are worth targeting based on difficulty and search volume"],"best_for":["content creators and SEO specialists planning content strategy","bloggers and publishers optimizing for multiple related keywords","e-commerce teams expanding product content with related search terms"],"limitations":["Search volume and keyword difficulty estimates are based on public data and may be outdated or inaccurate","Keyword clustering is semantic-based and may group unrelated terms if they share similar embeddings","No integration with actual search ranking data or competitor analysis","Topic expansion suggestions are generic and don't account for audience intent or business goals","Limited to English-language keywords; non-English support is minimal"],"requires":["Target keywords provided by user","Minimum 300 words of content for gap analysis","Optional: search volume and difficulty data from external SEO tools"],"input_types":["keyword list (comma-separated or structured)","document content for gap analysis"],"output_types":["keyword clusters with semantic grouping","search volume and difficulty estimates","content gap analysis with missing topics","expansion recommendations with related keywords"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_7","uri":"capability://text.generation.language.readability.level.adjustment.with.audience.specific.recommendations","name":"readability level adjustment with audience-specific recommendations","description":"Analyzes document readability against configurable audience profiles (e.g., general audience, technical experts, non-native English speakers) and provides targeted suggestions to adjust complexity. The system calculates multiple readability metrics (Flesch-Kincaid, Gunning Fog, Dale-Chall), identifies complex vocabulary and sentence structures, and suggests simplifications or elaborations based on target audience level, with before/after examples.","intents":["I need to simplify my technical writing for a general audience","I want to ensure my content is accessible to non-native English speakers","I need to match my writing complexity to my target audience's reading level"],"best_for":["technical writers translating complex concepts for general audiences","educators and trainers creating accessible learning materials","marketers optimizing content for diverse audience segments"],"limitations":["Readability metrics are formulaic and don't account for actual comprehension or domain expertise","Simplification suggestions are rule-based and may remove necessary technical precision","Audience profiles are generic and don't account for cultural context or specialized knowledge","No A/B testing or user feedback integration to validate readability improvements"],"requires":["Target audience profile selected (general, technical, non-native, etc.)","Minimum 300 words of content for meaningful analysis"],"input_types":["plain text","markdown"],"output_types":["readability metrics (Flesch-Kincaid, Gunning Fog, Dale-Chall scores)","complexity assessment relative to target audience","simplification suggestions with before/after examples","vocabulary and sentence structure recommendations"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_prosepilot__cap_8","uri":"capability://automation.workflow.content.calendar.integration.with.publishing.workflow.automation","name":"content calendar integration with publishing workflow automation","description":"Integrates with content calendars to track document status, schedule publishing dates, and automate pre-publication checks (grammar, SEO, plagiarism, readability). The system syncs with external calendar tools (Google Calendar, Asana, Monday.com) or maintains an internal calendar, tracks document versions tied to publishing milestones, and can trigger automated workflows (notifications, approvals, publishing) based on status changes.","intents":["I want to manage my content calendar and track document status in one place","I need to automate pre-publication checks so nothing goes live without review","I want to schedule content publishing and get reminders for upcoming deadlines"],"best_for":["marketing teams managing multiple content pieces across channels","publishers with editorial workflows requiring approvals and reviews","agencies coordinating content across multiple client projects"],"limitations":["Calendar integration is limited to Google Calendar, Asana, and Monday.com; no native Notion or Confluence support","Automated pre-publication checks are sequential and can add 30-60 seconds of processing time","No integration with publishing platforms (WordPress, Medium, Substack) for direct publishing; requires manual copy-paste","Workflow automation is rule-based and doesn't support complex conditional logic or custom approval chains","No built-in notification system; relies on external integrations (Slack, email) for alerts"],"requires":["Connected calendar tool (Google Calendar, Asana, Monday.com)","Team workspace with multiple users for workflow automation","Premium subscription tier for advanced automation features"],"input_types":["document metadata (title, status, due date)","calendar events with document associations"],"output_types":["content calendar view with document status","pre-publication check results (pass/fail for each check)","automated workflow notifications and approvals","publishing schedule with milestone tracking"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Modern browser with WebSocket support for real-time updates","Active internet connection for NLP model inference","Minimum 2MB document size support","Target keywords configured in project settings","Minimum 300 words of content for meaningful analysis","Optional: meta description and title tag fields","Shared workspace or project created in ProsePilot","Collaborators must have active ProsePilot accounts","Stable internet connection for real-time sync","Modern browser with WebSocket support"],"failure_modes":["Real-time processing adds ~50-150ms latency per keystroke depending on document length","Context window limited to surrounding paragraphs, so long-form consistency issues may be missed across chapters","Stylistic suggestions are rule-based and may not understand domain-specific jargon or creative writing conventions","Keyword analysis is surface-level (density-based) and doesn't account for semantic relevance or search intent like Surfer or Semrush","No backlink analysis, competitor comparison, or SERP ranking tracking","Readability metrics are formulaic (Flesch-Kincaid) and may not reflect actual user comprehension for technical or specialized content","No integration with Google Search Console or ranking data, so recommendations are not tied to actual search performance","Real-time synchronization latency is higher than Google Docs or Notion (typically 200-500ms vs. <100ms) due to architectural constraints","No built-in permission granularity — all collaborators have equal edit rights; no read-only or comment-only roles","Comment threading lacks rich formatting and inline resolution tracking compared to Microsoft Word or Confluence","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.551Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=prosepilot","compare_url":"https://unfragile.ai/compare?artifact=prosepilot"}},"signature":"vS2uA0+cft3ZrP930Hpfumc31et+RAH0CrI3l8XxQf8d5+PTDYAPSlDt6vzSiZ9KkCzAhSSM9EU+27C2NYswBw==","signedAt":"2026-06-20T06:55:36.266Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/prosepilot","artifact":"https://unfragile.ai/prosepilot","verify":"https://unfragile.ai/api/v1/verify?slug=prosepilot","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}