{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_askbooks","slug":"askbooks","name":"AskBooks","type":"product","url":"https://www.askbooks.ai","page_url":"https://unfragile.ai/askbooks","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_askbooks__cap_0","uri":"capability://text.generation.language.ai.generated.book.summaries.with.semantic.compression","name":"ai-generated book summaries with semantic compression","description":"Generates concise summaries of 2,000+ books by processing full text through large language models with prompt-engineered extraction of key themes, plot points, and concepts. The system likely uses hierarchical summarization (chapter-level summaries aggregated into book-level overviews) to compress dense content while preserving semantic meaning, enabling readers to grasp core ideas without reading entire texts.","intents":["I need to understand the main ideas of a business book in 5 minutes instead of reading 300 pages","I want to decide if a book is worth my time before committing to full reading","I need to refresh my memory on a book I read months ago without re-reading it"],"best_for":["Busy professionals extracting actionable insights from non-fiction","Students preparing for exams or essays without time for full texts","Casual readers evaluating whether a book matches their interests"],"limitations":["AI summaries lose literary nuance, subtext, and prose style critical for fiction and philosophy","Summaries may over-emphasize plot over thematic depth in complex narratives","Limited to 2,000 books—niche, recent, or self-published titles unavailable","No customization of summary length or focus area (e.g., character analysis vs plot)"],"requires":["Book title must be in AskBooks' indexed library of 2,000+ titles","Internet connection to access cloud-hosted summaries","No special software or API keys required for end users"],"input_types":["book title (text search)","ISBN or author name"],"output_types":["text summary (variable length, likely 500-2000 words)","structured metadata (themes, key concepts, character list)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_askbooks__cap_1","uri":"capability://text.generation.language.conversational.q.a.over.book.content.with.context.retrieval","name":"conversational q&a over book content with context retrieval","description":"Enables users to ask natural language questions about specific books and receive answers grounded in the book's content. The system likely uses retrieval-augmented generation (RAG): user queries are embedded, matched against a vector index of book chapters or sections, and relevant passages are fed into an LLM to generate contextual answers. This allows questions about plot details, character motivations, themes, and specific concepts without users reading the full text.","intents":["I want to ask 'Why did character X make that decision?' and get an answer specific to this book","I need to find where in the book a specific concept or quote appears","I want to explore themes or connections the summary didn't highlight"],"best_for":["Students writing essays or analysis papers on assigned books","Book club members preparing discussion questions","Professionals extracting specific insights from business or self-help books"],"limitations":["Answers are only as good as the underlying book index—missing or poorly chunked sections lead to incomplete answers","LLM may hallucinate or misinterpret context if relevant passages aren't retrieved","No source attribution or page numbers provided, making it hard to verify answers against original text","Limited to books in the 2,000-title library; cannot answer questions about unlisted books"],"requires":["Book must be in AskBooks' indexed library","Internet connection for real-time query processing","No API key or authentication beyond freemium account"],"input_types":["natural language question (text)","book title or identifier to scope the question"],"output_types":["natural language answer (text)","optional: confidence score or source passage excerpt"],"categories":["text-generation-language","memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_askbooks__cap_2","uri":"capability://search.retrieval.multi.book.cross.referencing.and.thematic.search","name":"multi-book cross-referencing and thematic search","description":"Allows users to search across multiple books in the library for common themes, concepts, or ideas. The system likely uses semantic embeddings to find conceptually similar passages across different books, enabling users to discover connections (e.g., 'How do different authors approach leadership?') without manually reading multiple texts. This requires a unified embedding space across all 2,000+ books.","intents":["I want to compare how different business books approach the same concept (e.g., innovation, risk management)","I'm researching a topic and want to see which books in the library cover it","I want to find books similar to one I already read"],"best_for":["Researchers and students conducting comparative analysis across multiple sources","Professionals building knowledge on a topic from multiple perspectives","Educators designing curricula that connect ideas across books"],"limitations":["Cross-book search quality depends on embedding model quality—poor embeddings lead to irrelevant results","Limited to 2,000 books, so niche topics may have insufficient coverage","No filtering by book genre, publication date, or author, making broad searches noisy","Semantic similarity may conflate different interpretations of the same concept"],"requires":["Multiple books in the AskBooks library must cover the search topic","Internet connection for real-time semantic search","No special authentication beyond freemium account"],"input_types":["thematic query (text, e.g., 'leadership strategies')","optional: book title to find similar books"],"output_types":["ranked list of books with relevance scores","optional: excerpt snippets showing where theme appears in each book"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_askbooks__cap_3","uri":"capability://automation.workflow.freemium.access.model.with.tiered.feature.gating","name":"freemium access model with tiered feature gating","description":"Implements a freemium business model where free users access basic summaries and limited Q&A, while paid subscribers unlock unlimited queries, advanced features, or premium book selections. The system gates features at the application level, tracking user tier and enforcing quotas (e.g., 3 questions per day for free users, unlimited for premium). This model reduces friction for discovery while monetizing power users.","intents":["I want to try AskBooks without paying to see if it's useful for my workflow","I need unlimited access to summaries and Q&A for my research or work","I want to upgrade from free to premium when I realize the value"],"best_for":["Casual readers testing the service before committing financially","Professionals and students who need unlimited access for work or study","Freemium-based SaaS businesses seeking a proven monetization model"],"limitations":["Free tier quotas (e.g., 3 questions/day) may frustrate users mid-research, pushing them to upgrade or abandon","Feature gating adds complexity to the product—free users may encounter paywalls at critical moments","Conversion from free to paid depends on perceived value, which may be low for casual readers","No transparent pricing or feature comparison visible in the artifact description"],"requires":["User account creation (email or social login)","Payment method on file for premium tier (credit card, subscription service)","Internet connection for quota tracking and enforcement"],"input_types":["user authentication (email/password or OAuth)","payment information (for premium tier)"],"output_types":["user tier status (free/premium)","quota tracking (e.g., 'You have 2 questions left today')","feature access control (enabled/disabled per tier)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_askbooks__cap_4","uri":"capability://data.processing.analysis.book.library.curation.and.indexing.at.scale","name":"book library curation and indexing at scale","description":"Maintains a curated library of 2,000+ books with pre-processed content (summaries, embeddings, metadata). The system ingests books, extracts text, chunks content into sections, generates embeddings, and stores them in a vector database for fast retrieval. This requires content acquisition (licensing or scraping), text extraction (OCR or digital formats), and quality control to ensure summaries and Q&A are accurate.","intents":["I want to know which books are available in AskBooks before using the service","I want the service to have the specific book I'm interested in","I want to browse books by category or recommendation"],"best_for":["Content platforms building searchable libraries of books or documents","Teams building RAG systems over large document collections","Publishers or libraries wanting to make content more discoverable"],"limitations":["2,000 books is a fraction of published works—niche, recent, or self-published titles missing","Curation requires licensing agreements with publishers, limiting growth speed and increasing costs","No user-generated content or community contributions, so library growth is slow and centralized","No clear mechanism for users to request new books or provide feedback on missing titles"],"requires":["Content licensing agreements with publishers or access to digital book formats","Text extraction pipeline (OCR for scanned books, parsing for digital formats)","Vector database (e.g., Pinecone, Weaviate) for storing embeddings","Metadata database for book titles, authors, genres, publication dates"],"input_types":["book files (PDF, EPUB, plain text)","book metadata (title, author, ISBN, genre)"],"output_types":["indexed book records with embeddings","searchable metadata (title, author, genre, publication date)","pre-generated summaries and Q&A indices"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_askbooks__cap_5","uri":"capability://text.generation.language.natural.language.interface.for.book.discovery.and.exploration","name":"natural language interface for book discovery and exploration","description":"Provides a conversational interface where users can ask questions in natural language to discover books, understand content, and explore themes. The system interprets user intent (e.g., 'books about leadership' vs 'what does this book say about leadership?') and routes queries to appropriate backends (search, Q&A, recommendations). This requires intent classification and a unified query interface.","intents":["I want to ask 'What books cover X topic?' and get a ranked list","I want to explore a book through conversation rather than reading summaries","I want personalized book recommendations based on my interests"],"best_for":["Casual readers preferring conversational discovery over traditional search","Users unfamiliar with the book library wanting guided exploration","Builders creating conversational AI interfaces for content discovery"],"limitations":["Intent classification errors may route queries to wrong backend (e.g., interpreting 'books about leadership' as a Q&A query instead of search)","No multi-turn context—each query is processed independently, losing conversation history","Limited to books in the 2,000-title library, so recommendations are constrained","No personalization based on user reading history or preferences"],"requires":["Natural language understanding model (likely fine-tuned LLM or intent classifier)","Integration with search, Q&A, and recommendation backends","User account for conversation history (optional)"],"input_types":["natural language query (text)","optional: conversation history for context"],"output_types":["natural language response (text)","ranked list of books or passages","optional: follow-up suggestions or clarification questions"],"categories":["text-generation-language","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Book title must be in AskBooks' indexed library of 2,000+ titles","Internet connection to access cloud-hosted summaries","No special software or API keys required for end users","Book must be in AskBooks' indexed library","Internet connection for real-time query processing","No API key or authentication beyond freemium account","Multiple books in the AskBooks library must cover the search topic","Internet connection for real-time semantic search","No special authentication beyond freemium account","User account creation (email or social login)"],"failure_modes":["AI summaries lose literary nuance, subtext, and prose style critical for fiction and philosophy","Summaries may over-emphasize plot over thematic depth in complex narratives","Limited to 2,000 books—niche, recent, or self-published titles unavailable","No customization of summary length or focus area (e.g., character analysis vs plot)","Answers are only as good as the underlying book index—missing or poorly chunked sections lead to incomplete answers","LLM may hallucinate or misinterpret context if relevant passages aren't retrieved","No source attribution or page numbers provided, making it hard to verify answers against original text","Limited to books in the 2,000-title library; cannot answer questions about unlisted books","Cross-book search quality depends on embedding model quality—poor embeddings lead to irrelevant results","Limited to 2,000 books, so niche topics may have insufficient coverage","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"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":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=askbooks","compare_url":"https://unfragile.ai/compare?artifact=askbooks"}},"signature":"BdrQHC3VrnRIdPjNHZUVA7ZBbWrqs4+fH/69X05huXAQwdmGPevsroPcWgf6jGOnravsUqUkIrUnLXjbXdgxDQ==","signedAt":"2026-06-22T04:09:05.973Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/askbooks","artifact":"https://unfragile.ai/askbooks","verify":"https://unfragile.ai/api/v1/verify?slug=askbooks","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"}}