{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_heytale","slug":"heytale","name":"HeyTale","type":"product","url":"https://heytale.com","page_url":"https://unfragile.ai/heytale","categories":["text-writing"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_heytale__cap_0","uri":"capability://text.generation.language.prompt.to.narrative.generation.with.multi.variant.output","name":"prompt-to-narrative generation with multi-variant output","description":"Transforms natural language prompts into complete story narratives using a sequence-to-sequence LLM architecture, generating multiple story variations in parallel to enable rapid ideation and comparison. The system accepts minimal input (keywords, genre hints, character names) and produces full narrative arcs with beginning-middle-end structure, leveraging temperature sampling or beam search to create stylistic diversity across outputs without requiring explicit control parameters from users.","intents":["Generate 3-5 different story interpretations from a single prompt to find the best narrative direction","Quickly produce publishable-quality story seeds for game narratives, book chapters, or content marketing","Explore how the same premise plays out across different tones and genres without manual rewriting"],"best_for":["Indie authors and game developers seeking rapid narrative prototyping","Content creators needing story seeds for social media, blogs, or marketing campaigns","Non-technical writers wanting AI assistance without learning prompt engineering"],"limitations":["Generated narratives tend toward formulaic structures and generic voice due to training data distribution and lack of fine-tuning on distinctive literary styles","No length control — stories are fixed-length outputs, limiting use cases requiring short flash fiction or epic-length narratives","Multi-variant generation increases latency; typical 3-5 story generation takes 5-15 seconds depending on model size and server load","No control over narrative perspective, tense, or point-of-view — all outputs follow model's default patterns"],"requires":["Internet connection for cloud-based inference","Modern web browser (Chrome, Firefox, Safari, Edge from 2020+)","No API key or authentication required for free tier"],"input_types":["natural language text (prompts, keywords, genre tags, character descriptions)"],"output_types":["plain text narratives (typically 300-1000 words per story)","multiple story variants in sequential or side-by-side format"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_heytale__cap_1","uri":"capability://text.generation.language.genre.and.tone.aware.narrative.synthesis","name":"genre and tone-aware narrative synthesis","description":"Accepts genre and tone metadata (e.g., 'fantasy', 'dark', 'humorous') as input constraints and conditions the language model's generation to produce stories aligned with those stylistic parameters. The system likely uses prompt templating or conditional token masking to steer the model toward genre-specific vocabulary, narrative conventions, and emotional arcs without requiring explicit fine-tuning on genre-specific datasets.","intents":["Generate a fantasy story with dark tone vs. a lighthearted fantasy story from the same premise","Ensure generated stories match the target audience's genre expectations (YA romance, noir mystery, sci-fi thriller)","Explore how genre conventions shape narrative outcomes for the same character or plot seed"],"best_for":["Genre-specific content creators (romance authors, fantasy worldbuilders, mystery writers)","Game developers building narrative branches with consistent genre tone across story variants","Publishers and editors prototyping story concepts within specific market categories"],"limitations":["Genre conditioning is coarse-grained — no fine-grained control over subgenre (e.g., 'cyberpunk noir' vs. 'hardboiled noir') or genre blending","Tone application is inconsistent; model may default to neutral tone if genre/tone combination is underrepresented in training data","No validation that output actually matches requested genre/tone — users must manually verify alignment","Limited to pre-defined genre/tone taxonomy; custom or niche genres not supported"],"requires":["Internet connection","Modern web browser","Selection from platform's predefined genre and tone dropdown menus"],"input_types":["natural language prompt text","categorical selections (genre: fantasy/sci-fi/romance/mystery/thriller, tone: dark/light/humorous/serious)"],"output_types":["plain text narratives styled to match genre/tone specifications"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_heytale__cap_2","uri":"capability://automation.workflow.batch.story.export.and.format.conversion","name":"batch story export and format conversion","description":"Enables users to export generated stories in multiple formats (plain text, markdown, PDF, DOCX) and download batches of multiple stories simultaneously for offline editing and distribution. The system manages file serialization, formatting templates, and batch packaging without requiring users to manually copy-paste or format stories individually.","intents":["Export 5 story variants as individual .docx files for sharing with writing group or editor feedback","Download stories as markdown for direct import into Obsidian, Notion, or other knowledge management tools","Generate PDF versions with custom headers/footers for portfolio or submission to literary magazines"],"best_for":["Authors and content creators who need stories in specific formats for downstream tools (Word, Google Docs, Markdown editors)","Teams collaborating on story development who need to share outputs across multiple platforms","Publishers and literary magazines receiving story submissions in standardized formats"],"limitations":["Export formats are limited to text-based outputs (no rich formatting, embedded images, or complex layouts)","PDF export uses basic templating — no custom styling, fonts, or design control","Batch export limited to 10-20 stories per request; no pagination or streaming for larger batches","No built-in version control or change tracking — exported stories are static snapshots with no edit history"],"requires":["Internet connection","Modern web browser with file download capability","Sufficient local storage for batch downloads (typically 1-5 MB per batch of 10 stories)"],"input_types":["generated story objects (from prior generation capability)","format selection (txt, md, pdf, docx)","optional metadata (author name, title, date for PDF headers)"],"output_types":["plain text files (.txt)","markdown files (.md)","PDF documents (.pdf)","Word documents (.docx)","ZIP archives containing multiple story files"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_heytale__cap_3","uri":"capability://memory.knowledge.story.prompt.history.and.regeneration.from.saved.prompts","name":"story prompt history and regeneration from saved prompts","description":"Maintains a browsable history of user prompts and enables one-click regeneration of stories from previously used prompts with optional parameter adjustments (genre, tone, variant count). The system stores prompt metadata (timestamp, genre, tone, story count) in a user session or account-level database and provides UI controls to retrieve, modify, and re-execute prompts without manual re-entry.","intents":["Regenerate a story from a prompt used 2 weeks ago with a different tone (dark vs. light) to explore alternative narrative directions","Review all prompts used in a writing session to identify which ones produced the best story seeds","Batch regenerate 10 previous prompts with updated genre/tone settings to create a new story collection"],"best_for":["Iterative writers who refine story concepts over multiple sessions and need to revisit and modify previous prompts","Content creators managing large prompt libraries for ongoing story generation projects","Teams collaborating on story development who need to share and reuse prompts across team members"],"limitations":["History is session-based or account-based; no cross-device sync without user account creation","No prompt versioning or branching — regenerating a prompt overwrites previous outputs unless manually saved","Limited history depth (typically 50-100 prompts per user); older prompts are archived or deleted","No collaborative prompt sharing or team prompt libraries — history is siloed per user account","Regeneration may produce different outputs due to model stochasticity; no seed control to ensure reproducibility"],"requires":["Internet connection","User account or session persistence (cookies or local storage)","Modern web browser with localStorage or sessionStorage support"],"input_types":["previously executed prompt objects (retrieved from history)","optional parameter overrides (genre, tone, variant count)"],"output_types":["new story variants generated from historical prompt with updated parameters","prompt metadata (original prompt text, creation date, previous outputs)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_heytale__cap_4","uri":"capability://data.processing.analysis.character.and.setting.seed.extraction.from.prompts","name":"character and setting seed extraction from prompts","description":"Automatically parses user prompts to identify and extract named entities (character names, locations, organizations) and uses these as structured seeds for narrative generation. The system likely uses NER (Named Entity Recognition) or regex-based pattern matching to identify proper nouns and injects them into the story generation context to ensure consistency and relevance across story variants.","intents":["Automatically detect character names from a prompt ('Alice and Bob') and ensure they appear consistently across all story variants","Extract location names ('New York', 'Narnia') and use them as narrative anchors to ground stories in specific settings","Identify key entities and use them to seed character relationships and plot conflicts in generated narratives"],"best_for":["Writers building character-driven or location-specific stories who need consistent entity references across variants","Game developers prototyping narrative branches with named characters and locations","Content creators generating story variations around specific settings or character rosters"],"limitations":["Entity extraction is heuristic-based; ambiguous or context-dependent entities may be missed or misidentified (e.g., 'May' as month vs. character name)","No entity relationship modeling — extracted entities are treated independently without inferring relationships or hierarchies","Limited to English prompts; non-English entity names may not be recognized or may be transliterated incorrectly","No user control over entity extraction — users cannot manually specify which entities to prioritize or exclude","Entity consistency is not guaranteed across variants; model may use different names or descriptions for the same entity in different stories"],"requires":["Internet connection","Natural language prompt with clear entity references (proper nouns, capitalized names)","English language input (non-English support unknown)"],"input_types":["natural language prompt text containing character names, locations, or organization names"],"output_types":["structured entity list (extracted characters, locations, organizations)","story narratives with consistent entity references"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_heytale__cap_5","uri":"capability://data.processing.analysis.story.quality.scoring.and.variant.ranking","name":"story quality scoring and variant ranking","description":"Evaluates generated story variants using heuristic scoring (coherence, length, grammar, engagement metrics) and ranks them by quality to surface the best outputs first. The system likely uses rule-based scoring (sentence length variance, vocabulary diversity, readability metrics) or lightweight ML models to assign quality scores without requiring explicit user feedback.","intents":["Automatically identify the highest-quality story variant from a batch of 5 generated stories without manual reading","Filter out low-quality or incoherent stories to reduce time spent reviewing poor outputs","Understand which story characteristics (length, tone, complexity) correlate with higher quality to inform future prompts"],"best_for":["Busy content creators who need to quickly identify usable stories from large batches without manual review","Non-technical writers who lack confidence in evaluating story quality and benefit from algorithmic ranking","Teams generating stories at scale who need automated quality gates before human review"],"limitations":["Quality scoring is heuristic-based and may not align with human literary preferences; high-scoring stories may feel formulaic or generic","No customization of scoring criteria — users cannot weight coherence vs. creativity vs. length based on their preferences","Scoring is opaque; users cannot see which factors contributed to a story's ranking, limiting learning and iteration","Quality metrics are shallow (readability, length, grammar) and miss deeper literary qualities (originality, emotional impact, narrative tension)","Ranking may inadvertently penalize experimental or unconventional stories that don't fit heuristic patterns"],"requires":["Internet connection","Generated story variants (from prior generation capability)","No user configuration required"],"input_types":["generated story text (multiple variants)"],"output_types":["quality scores (numeric or star rating per story)","ranked story list (sorted by quality score)","optional quality metrics breakdown (coherence, length, grammar, engagement)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_heytale__cap_6","uri":"capability://text.generation.language.story.continuation.and.sequel.generation","name":"story continuation and sequel generation","description":"Accepts a completed story as input and generates continuations or sequels that maintain narrative consistency, character voice, and plot threads from the original. The system uses the original story as context (via prompt injection or fine-tuning) to condition the language model to produce coherent follow-up narratives that feel like natural extensions rather than disconnected new stories.","intents":["Generate a sequel to a generated story that continues the plot and character arcs from the original","Extend a short story with additional chapters or scenes without losing narrative continuity","Explore alternative continuations of the same story to see how different plot directions develop"],"best_for":["Authors developing multi-chapter or multi-book story arcs who need AI assistance maintaining continuity","Game developers building branching narratives where each choice leads to a continuation","Content creators generating episodic stories for serialized content (web serials, podcasts)"],"limitations":["Continuation quality degrades with story length — longer original stories provide more context but increase token count and latency","Character voice consistency is not guaranteed; continuations may shift tone or characterization from the original","Plot thread tracking is implicit; model may drop or contradict plot points from the original story","No explicit control over continuation direction — users cannot specify which plot threads to prioritize or which characters to focus on","Continuations are generated fresh each time; no version control or branching to explore multiple continuation paths"],"requires":["Internet connection","Completed story text (from prior generation or user-provided)","Story length typically under 2000 words for optimal continuation quality"],"input_types":["original story text","optional continuation parameters (length, tone, focus character/plot thread)"],"output_types":["continuation text (sequel, additional chapters, alternative endings)","multiple continuation variants (if batch generation enabled)"],"categories":["text-generation-language","creative-writing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Internet connection for cloud-based inference","Modern web browser (Chrome, Firefox, Safari, Edge from 2020+)","No API key or authentication required for free tier","Internet connection","Modern web browser","Selection from platform's predefined genre and tone dropdown menus","Modern web browser with file download capability","Sufficient local storage for batch downloads (typically 1-5 MB per batch of 10 stories)","User account or session persistence (cookies or local storage)","Modern web browser with localStorage or sessionStorage support"],"failure_modes":["Generated narratives tend toward formulaic structures and generic voice due to training data distribution and lack of fine-tuning on distinctive literary styles","No length control — stories are fixed-length outputs, limiting use cases requiring short flash fiction or epic-length narratives","Multi-variant generation increases latency; typical 3-5 story generation takes 5-15 seconds depending on model size and server load","No control over narrative perspective, tense, or point-of-view — all outputs follow model's default patterns","Genre conditioning is coarse-grained — no fine-grained control over subgenre (e.g., 'cyberpunk noir' vs. 'hardboiled noir') or genre blending","Tone application is inconsistent; model may default to neutral tone if genre/tone combination is underrepresented in training data","No validation that output actually matches requested genre/tone — users must manually verify alignment","Limited to pre-defined genre/tone taxonomy; custom or niche genres not supported","Export formats are limited to text-based outputs (no rich formatting, embedded images, or complex layouts)","PDF export uses basic templating — no custom styling, fonts, or design control","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:30.893Z","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=heytale","compare_url":"https://unfragile.ai/compare?artifact=heytale"}},"signature":"C2IBPlci/7I25fTHRCRiEqzY598oUZzzlj6tEiNgiVuakdB26EHi/miuAudj8hAaSzwNmm6y9p6T3W8zgOeVDg==","signedAt":"2026-06-22T02:37:03.687Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/heytale","artifact":"https://unfragile.ai/heytale","verify":"https://unfragile.ai/api/v1/verify?slug=heytale","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"}}