{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_vocabuddy","slug":"vocabuddy","name":"VocaBuddy","type":"webapp","url":"https://voc-squire.web.app","page_url":"https://unfragile.ai/vocabuddy","categories":["research-search"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_vocabuddy__cap_0","uri":"capability://memory.knowledge.spaced.repetition.scheduling.with.forgetting.curve.modeling","name":"spaced-repetition-scheduling-with-forgetting-curve-modeling","description":"Implements a spaced repetition algorithm that schedules vocabulary review intervals based on the forgetting curve principle, likely using a variant of the SM-2 algorithm or similar interval-based scheduling. The system tracks user performance on each flashcard (correct/incorrect responses) and dynamically adjusts the next review date to optimize retention while minimizing redundant practice of well-learned items. Review intervals expand exponentially after successful recalls and reset or shorten after failures, creating a personalized study schedule that adapts to individual learning pace.","intents":["I want the system to automatically tell me when to review each vocabulary word so I don't forget it","I need a study schedule that focuses my practice time on words I'm struggling with rather than ones I already know","I want to understand why certain words are being shown to me at specific times based on my learning history"],"best_for":["ESL learners seeking evidence-based retention without manual scheduling","students with limited study time who need optimized practice sessions","language learners who want to understand the science behind their review schedule"],"limitations":["Algorithm parameters (initial interval, ease factor multiplier) are likely fixed and not tunable per user learning style","No adaptive difficulty scaling based on word complexity or semantic similarity to previously learned words","Scheduling does not account for circadian rhythms or user availability patterns — purely time-based intervals"],"requires":["Browser with persistent local storage or backend session management","User account or device-level persistence to maintain review history across sessions"],"input_types":["user response (correct/incorrect) on flashcard","timestamp of review attempt"],"output_types":["next review date/time","prioritized queue of words to study","progress metrics (retention rate, mastery percentage)"],"categories":["memory-knowledge","learning-science"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_vocabuddy__cap_1","uri":"capability://data.processing.analysis.manual.vocabulary.set.creation.and.curation","name":"manual-vocabulary-set-creation-and-curation","description":"Allows users to manually input vocabulary words, definitions, example sentences, and metadata (part of speech, difficulty level, language pair) into custom flashcard sets. The system stores these user-generated sets in a structured format (likely JSON or relational database) and provides basic CRUD operations (create, read, update, delete) for managing vocabulary entries. Sets can be organized by topic, language pair, or custom tags, enabling users to build personalized learning collections without relying on pre-built content libraries.","intents":["I want to create custom vocabulary lists tailored to my specific learning goals or domain (e.g., business French, medical terminology)","I need to add context like example sentences and pronunciation notes to words so I understand usage, not just definitions","I want to organize my vocabulary by topic or difficulty level so I can focus on specific areas"],"best_for":["learners with niche vocabulary needs not covered by pre-built libraries","teachers creating custom lesson materials for students","professionals learning domain-specific terminology (legal, medical, technical)"],"limitations":["No bulk import from CSV, Excel, or API sources — requires manual entry for each word, creating high friction for large vocabulary sets","No collaborative editing or sharing of sets between users — each user maintains isolated collections","No built-in validation or duplicate detection — users can accidentally create redundant entries"],"requires":["Web browser with form input support","User account or local storage to persist custom sets"],"input_types":["text (word, definition, example sentence)","metadata (part of speech, difficulty level, language pair)"],"output_types":["structured vocabulary set (JSON or database record)","flashcard objects with word and definition fields"],"categories":["data-processing-analysis","content-creation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_vocabuddy__cap_2","uri":"capability://memory.knowledge.flashcard.based.active.recall.practice","name":"flashcard-based-active-recall-practice","description":"Implements a flashcard interface where users are presented with a vocabulary word (or definition) and must actively recall the corresponding definition (or word) before revealing the answer. The system tracks correctness of each attempt and records the response (correct/incorrect/partial) to feed into the spaced repetition scheduler. The flashcard UI likely uses a reveal/flip animation pattern and may support multiple response formats (multiple choice, text input, or simple yes/no confidence rating).","intents":["I want to test my knowledge of vocabulary through active recall rather than passive review","I need immediate feedback on whether I got a word right or wrong so I can adjust my confidence","I want a simple, distraction-free interface for practicing vocabulary during short study sessions"],"best_for":["learners who prefer active recall over passive reading","students with limited attention spans who need focused, bite-sized practice","users studying during commutes or breaks who need quick, mobile-friendly sessions"],"limitations":["No support for partial credit or nuanced responses — binary correct/incorrect scoring may penalize valid alternative definitions","No audio pronunciation or listening comprehension component — visual-only practice limits multi-sensory learning","No hint system or progressive disclosure — users either know the answer or don't, with no scaffolding for struggling learners"],"requires":["Web browser with JavaScript enabled","Populated vocabulary set with at least one word-definition pair"],"input_types":["user response (text input, multiple choice selection, or confidence rating)","flashcard state (front/back, revealed/hidden)"],"output_types":["feedback (correct/incorrect indicator)","next flashcard in queue","session statistics (cards reviewed, accuracy rate)"],"categories":["memory-knowledge","learning-science"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_vocabuddy__cap_3","uri":"capability://data.processing.analysis.progress.tracking.and.retention.metrics","name":"progress-tracking-and-retention-metrics","description":"Tracks user performance across study sessions, recording metrics such as total words learned, mastery percentage, accuracy rate per word, and review history (dates and outcomes of each attempt). The system aggregates this data into dashboards or progress reports showing learning velocity, retention curves, and weak areas requiring additional practice. Metrics are likely stored in a user profile or session database and visualized through charts or summary statistics.","intents":["I want to see how many words I've learned and how well I'm retaining them over time","I need to identify which vocabulary areas I'm struggling with so I can focus my study effort","I want to track my learning velocity and motivation through visible progress indicators"],"best_for":["self-directed learners who are motivated by data and progress visualization","students preparing for standardized tests (TOEFL, IELTS) who need to track improvement","teachers monitoring student progress across a cohort"],"limitations":["Metrics are likely aggregated at the set or session level, not at the individual word level — limited granularity for identifying specific problem areas","No predictive analytics or goal-setting features — users see historical data but not projected mastery timelines","No export functionality for sharing progress with teachers or tutors — data is siloed within the app"],"requires":["User account with persistent session history","Completed practice sessions with recorded responses"],"input_types":["flashcard response data (correct/incorrect, timestamp)","review history (dates and outcomes)"],"output_types":["progress dashboard (charts, percentages, statistics)","retention metrics (mastery percentage, accuracy rate)","weak area identification (words with low accuracy)"],"categories":["data-processing-analysis","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_vocabuddy__cap_4","uri":"capability://automation.workflow.cross.device.session.persistence.and.synchronization","name":"cross-device-session-persistence-and-synchronization","description":"Enables users to access their vocabulary sets and study progress across multiple devices (desktop, tablet, mobile) by persisting data to a backend server or cloud storage. User authentication (likely email/password or OAuth) gates access to personal data, and session state (current study position, review history) is synchronized across devices so users can seamlessly switch between platforms. The system likely uses a REST API or similar backend service to sync flashcard sets, progress metrics, and scheduling data.","intents":["I want to study on my phone during my commute and continue on my laptop at home without losing progress","I need my vocabulary sets and review schedule to be available across all my devices automatically","I want to ensure my learning data is backed up and not lost if I switch devices or reinstall the app"],"best_for":["mobile-first learners who study across multiple devices throughout the day","users in regions with unreliable device storage who need cloud backup","learners who want to avoid vendor lock-in by accessing data from any device"],"limitations":["Requires active internet connection for synchronization — offline study may have delayed sync or data conflicts","No conflict resolution for simultaneous edits across devices — last-write-wins strategy may lose data if user edits on multiple devices concurrently","Data privacy depends on backend security — user vocabulary and progress are stored on third-party servers"],"requires":["User account with email or OAuth provider","Internet connectivity for initial sync and periodic updates","Browser or app with session storage and API client capabilities"],"input_types":["user authentication credentials","vocabulary set data and progress metrics"],"output_types":["synchronized vocabulary sets across devices","current study session state (position in queue, review history)","progress metrics and scheduling data"],"categories":["automation-workflow","cloud-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_vocabuddy__cap_5","uri":"capability://search.retrieval.vocabulary.set.organization.and.filtering","name":"vocabulary-set-organization-and-filtering","description":"Provides mechanisms to organize vocabulary sets by custom tags, topics, difficulty levels, or language pairs, and allows users to filter or search within their collection to quickly locate specific sets or words. The system likely implements a tagging system (many-to-many relationship between words and tags) and a search index (full-text or keyword-based) to enable fast retrieval. Users can create custom categories or use predefined taxonomies to structure their learning.","intents":["I want to organize my vocabulary by topic (e.g., food, travel, business) so I can focus on specific areas","I need to quickly find a specific word or set without scrolling through my entire collection","I want to filter vocabulary by difficulty level so I can practice beginner words separately from advanced ones"],"best_for":["learners with large vocabulary collections (100+ words) who need organization","teachers managing multiple student cohorts with different vocabulary sets","polyglots learning multiple languages who need to separate vocabulary by language pair"],"limitations":["No hierarchical category structure — tags are flat, limiting organization depth for complex taxonomies","Search likely uses simple keyword matching rather than semantic search — synonyms or related words won't be found unless explicitly tagged","No collaborative filtering or recommendations based on similar learners' organization patterns"],"requires":["Populated vocabulary collection with at least 10+ words","Ability to assign tags or metadata to words"],"input_types":["search query (text string)","filter criteria (tag, difficulty level, language pair)"],"output_types":["filtered vocabulary set (subset of user's collection)","search results (matching words and definitions)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Browser with persistent local storage or backend session management","User account or device-level persistence to maintain review history across sessions","Web browser with form input support","User account or local storage to persist custom sets","Web browser with JavaScript enabled","Populated vocabulary set with at least one word-definition pair","User account with persistent session history","Completed practice sessions with recorded responses","User account with email or OAuth provider","Internet connectivity for initial sync and periodic updates"],"failure_modes":["Algorithm parameters (initial interval, ease factor multiplier) are likely fixed and not tunable per user learning style","No adaptive difficulty scaling based on word complexity or semantic similarity to previously learned words","Scheduling does not account for circadian rhythms or user availability patterns — purely time-based intervals","No bulk import from CSV, Excel, or API sources — requires manual entry for each word, creating high friction for large vocabulary sets","No collaborative editing or sharing of sets between users — each user maintains isolated collections","No built-in validation or duplicate detection — users can accidentally create redundant entries","No support for partial credit or nuanced responses — binary correct/incorrect scoring may penalize valid alternative definitions","No audio pronunciation or listening comprehension component — visual-only practice limits multi-sensory learning","No hint system or progressive disclosure — users either know the answer or don't, with no scaffolding for struggling learners","Metrics are likely aggregated at the set or session level, not at the individual word level — limited granularity for identifying specific problem areas","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:34.117Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=vocabuddy","compare_url":"https://unfragile.ai/compare?artifact=vocabuddy"}},"signature":"Azr3ZGhdHr/CG2+w/ZF3a65bO9GL4g73HLiiWv1LBDr7WPZc34inRGuBVT+XHy14O3YRZK//wfNMquZuil+4BA==","signedAt":"2026-06-22T03:00:12.331Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/vocabuddy","artifact":"https://unfragile.ai/vocabuddy","verify":"https://unfragile.ai/api/v1/verify?slug=vocabuddy","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"}}