{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_rubygpt","slug":"rubygpt","name":"RubyGPT","type":"product","url":"https://rubygpt.ai","page_url":"https://unfragile.ai/rubygpt","categories":["text-writing","testing-quality"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_rubygpt__cap_0","uri":"capability://text.generation.language.real.time.prose.style.enhancement.with.contextual.suggestions","name":"real-time prose style enhancement with contextual suggestions","description":"Analyzes written text as it's being composed and surfaces inline stylistic suggestions (word choice, sentence structure, tone adjustments) without requiring copy-paste workflows. 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Uses embedding-based similarity analysis or fine-tuned classifiers to detect when tone shifts unexpectedly, character voice becomes inconsistent, or prose style diverges from established patterns within a document or project.","intents":["I want to ensure my protagonist's voice remains consistent across chapters","I need to detect where my narrative tone shifts unintentionally","I want to maintain a cohesive stylistic voice across a multi-chapter manuscript"],"best_for":["novelists and long-form fiction writers managing complex narratives","writers working with multiple POV characters who need distinct voices","editors reviewing manuscripts for consistency"],"limitations":["Consistency analysis likely requires substantial context (full chapters or scenes) — may not work effectively on short excerpts","Cultural and genre-specific voice patterns may not be recognized if training data underrepresents the target genre","No explicit control over what constitutes 'acceptable' voice variation vs. inconsistency"],"requires":["Minimum text length (likely 500+ words) for meaningful consistency analysis","User account with RubyGPT premium tier (consistency features may be paywalled)"],"input_types":["full manuscript or chapter text","multiple text selections for comparison"],"output_types":["consistency report with flagged sections","tone/voice profile summary","suggestions for harmonizing inconsistent passages"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_rubygpt__cap_2","uri":"capability://memory.knowledge.iterative.feedback.loop.with.revision.tracking","name":"iterative feedback loop with revision tracking","description":"Maintains a history of suggestions made and revisions accepted/rejected, allowing writers to review their editing decisions and understand patterns in how they refine prose. Likely stores suggestion metadata (timestamp, type, acceptance status) and enables comparison between original and revised versions to show cumulative impact of edits.","intents":["I want to see how my prose has evolved through multiple revision passes","I need to understand which types of suggestions I typically accept vs. reject","I want to revert changes or compare my original draft to the current version"],"best_for":["writers who revise iteratively and want to track their editing process","authors preparing manuscripts for agent/publisher submission who need revision history","creative professionals who want to learn from their own editing patterns"],"limitations":["Revision history storage requires persistent backend — data loss risk if service goes down or account is deleted","Comparison views may be limited to recent revisions (unclear retention policy)","No explicit version control integration (Git, etc.) — proprietary tracking only"],"requires":["User account with RubyGPT (revision history likely premium feature)","Continuous use of RubyGPT for suggestions (external edits not tracked)"],"input_types":["text revisions within RubyGPT interface"],"output_types":["revision history timeline","before/after comparison views","editing pattern analytics"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_rubygpt__cap_3","uri":"capability://text.generation.language.genre.specific.writing.enhancement.rules","name":"genre-specific writing enhancement rules","description":"Applies customized suggestion logic based on declared genre (fantasy, romance, sci-fi, literary fiction, etc.), adjusting heuristics for what constitutes 'good' prose within that genre's conventions. Likely uses genre-tagged training data or rule sets to recognize genre-specific patterns (e.g., world-building exposition in fantasy, emotional beats in romance) and tailor suggestions accordingly.","intents":["I want suggestions that respect the conventions and expectations of my genre","I need feedback that understands fantasy world-building or romance pacing, not generic writing rules","I want to avoid suggestions that would make my genre fiction sound like literary fiction"],"best_for":["genre fiction writers (fantasy, romance, sci-fi, mystery, horror) who want specialized feedback","writers who want to learn genre-specific craft without reading dozens of craft books","indie authors publishing in specific genres who need to match reader expectations"],"limitations":["Genre classification is user-declared, not automatic — may not detect subgenres or genre blends accurately","Limited to genres in RubyGPT's training data; niche or emerging genres may not be well-supported","Genre rules are static and may not evolve with changing reader expectations or genre trends"],"requires":["User to explicitly select or declare target genre","RubyGPT premium tier (genre-specific features likely paywalled)"],"input_types":["prose text with genre context"],"output_types":["genre-aware suggestions","genre-specific writing tips","convention compliance feedback"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_rubygpt__cap_4","uri":"capability://text.generation.language.character.voice.differentiation.and.dialogue.tagging","name":"character voice differentiation and dialogue tagging","description":"Analyzes dialogue and narrative passages to identify distinct character voices and flag inconsistencies in how individual characters speak or think. Likely uses character-level embeddings or fine-tuned classifiers to learn each character's unique speech patterns, vocabulary, and narrative perspective, then alerts writers when a character's voice deviates from established patterns.","intents":["I want to ensure each character has a distinct, recognizable voice in dialogue","I need to detect when a character's speech patterns become inconsistent across scenes","I want to verify that my POV character's internal voice matches their external dialogue"],"best_for":["novelists writing multi-character narratives with distinct voices","screenwriters managing ensemble casts with unique speech patterns","writers working with multiple POV characters in the same manuscript"],"limitations":["Requires explicit character tagging or declaration — no automatic character identification from context","Voice differentiation analysis may struggle with subtle variations (e.g., regional accents, age-appropriate speech)","Limited to dialogue and first-person narrative; third-person internal monologue voice detection unclear"],"requires":["Character list or tagging system within RubyGPT","Minimum dialogue samples per character for voice profile establishment","RubyGPT premium tier (character voice features likely paywalled)"],"input_types":["dialogue-tagged text","character metadata (name, age, background)"],"output_types":["character voice profile (vocabulary, speech patterns, tone)","consistency flags for voice deviations","suggestions for strengthening character voice differentiation"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_rubygpt__cap_5","uri":"capability://text.generation.language.pacing.and.narrative.rhythm.analysis","name":"pacing and narrative rhythm analysis","description":"Evaluates prose rhythm at sentence and paragraph level to identify pacing issues (overly long sentences slowing action scenes, choppy sentences in emotional moments, etc.). Uses sentence length distribution, punctuation patterns, and semantic density analysis to detect when pacing doesn't match narrative intent, then suggests structural adjustments to improve rhythm.","intents":["I want my action scenes to feel fast-paced but my emotional scenes to feel contemplative","I need to identify where my prose rhythm doesn't match the narrative mood","I want suggestions for breaking up long paragraphs or combining short sentences for better flow"],"best_for":["fiction writers who understand prose rhythm and want data-driven feedback","authors revising for pacing issues in specific scenes or chapters","writers working in genres where pacing is critical (thriller, romance, action)"],"limitations":["Pacing analysis is statistical (sentence length, punctuation) and may not capture semantic pacing (how ideas flow)","Suggestions may conflict with authorial intent if writer deliberately uses rhythm for stylistic effect","No context for narrative intent — tool can't know if slow pacing is intentional or a problem"],"requires":["Minimum passage length (likely 200+ words) for meaningful rhythm analysis","Optional: narrative intent context (e.g., 'this is an action scene' vs. 'this is introspection')"],"input_types":["prose text (paragraph or scene level)"],"output_types":["pacing analysis report (sentence length distribution, rhythm metrics)","flagged sections with pacing issues","suggestions for structural adjustments"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_rubygpt__cap_6","uri":"capability://text.generation.language.show.vs.tell.detection.and.narrative.exposition.feedback","name":"show-vs-tell detection and narrative exposition feedback","description":"Identifies passages where prose relies on telling (summary, exposition) rather than showing (scene, dialogue, sensory detail) and suggests opportunities to dramatize or add specificity. Uses pattern matching for tell-markers ('felt sad', 'was angry', 'realized that') and semantic analysis to detect abstract exposition, then recommends concrete alternatives or scene-building approaches.","intents":["I want to identify where I'm telling instead of showing in my manuscript","I need suggestions for how to dramatize exposition or backstory","I want to add more sensory detail and scene work to my prose"],"best_for":["fiction writers learning craft fundamentals (show vs. tell)","authors revising early drafts for narrative engagement","writers working in genres where immersion is critical (literary fiction, fantasy, romance)"],"limitations":["Show-vs-tell detection relies on pattern matching for tell-markers, which may produce false positives (e.g., 'she was happy' in dialogue is acceptable)","Suggestions to 'show' may require significant rewriting — tool can't generate full scene alternatives","Some exposition is necessary and unavoidable; tool may flag legitimate narrative choices as problems"],"requires":["Prose text (paragraph or scene level)","Optional: narrative context (e.g., 'this is backstory exposition' vs. 'this is a scene')"],"input_types":["prose text"],"output_types":["tell-marker flags with explanations","suggestions for adding specificity or dramatizing","examples of show-vs-tell alternatives"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_rubygpt__cap_7","uri":"capability://automation.workflow.freemium.tier.with.limited.suggestions.and.premium.upsell","name":"freemium tier with limited suggestions and premium upsell","description":"Offers free access to core prose enhancement features (basic style suggestions, real-time feedback) with limited daily suggestion quota, while paywalling advanced features (genre-specific rules, character voice analysis, pacing analysis, revision tracking). Uses freemium model to acquire users and convert high-engagement writers to paid tiers.","intents":["I want to try RubyGPT without paying to see if it's useful for my workflow","I need basic writing feedback but can't justify a subscription yet","I want access to advanced features like character voice analysis and genre-specific suggestions"],"best_for":["independent writers with limited budgets who want to test before committing","casual writers who need basic feedback without advanced features","serious writers willing to pay for specialized features"],"limitations":["Free tier likely has daily suggestion limits or feature restrictions that may frustrate power users","Pricing and tier structure not clearly documented in provided information","Freemium model may incentivize aggressive upsell, reducing free tier utility"],"requires":["User account creation (email or social login)","No payment required for free tier"],"input_types":["prose text"],"output_types":["limited suggestions (free tier)","full feature access (premium tier)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active internet connection for API calls to backend inference","Modern browser or text editor with WebSocket support","User account with RubyGPT (freemium tier available)","Minimum text length (likely 500+ words) for meaningful consistency analysis","User account with RubyGPT premium tier (consistency features may be paywalled)","User account with RubyGPT (revision history likely premium feature)","Continuous use of RubyGPT for suggestions (external edits not tracked)","User to explicitly select or declare target genre","RubyGPT premium tier (genre-specific features likely paywalled)","Character list or tagging system within RubyGPT"],"failure_modes":["Real-time processing may introduce latency (unknown exact ms per suggestion) that could disrupt flow for fast typists","Contextual understanding limited to local paragraph/scene scope — may miss narrative arcs spanning chapters","Suggestions optimized for English prose; support for other languages unknown","Consistency analysis likely requires substantial context (full chapters or scenes) — may not work effectively on short excerpts","Cultural and genre-specific voice patterns may not be recognized if training data underrepresents the target genre","No explicit control over what constitutes 'acceptable' voice variation vs. inconsistency","Revision history storage requires persistent backend — data loss risk if service goes down or account is deleted","Comparison views may be limited to recent revisions (unclear retention policy)","No explicit version control integration (Git, etc.) — proprietary tracking only","Genre classification is user-declared, not automatic — may not detect subgenres or genre blends accurately","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:33.095Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=rubygpt","compare_url":"https://unfragile.ai/compare?artifact=rubygpt"}},"signature":"oKLplVr/8rtFuZSi33+tMVHXobJXep9QVlUittAayJtP7LzoUkl6Zn3qATUQJgQOqtf3rXIBt4851ABBoxsGBw==","signedAt":"2026-06-20T20:08:18.025Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/rubygpt","artifact":"https://unfragile.ai/rubygpt","verify":"https://unfragile.ai/api/v1/verify?slug=rubygpt","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"}}