{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_homeworkify-im","slug":"homeworkify-im","name":"Homeworkify.im","type":"product","url":"https://homeworkify.im","page_url":"https://unfragile.ai/homeworkify-im","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_homeworkify-im__cap_0","uri":"capability://image.visual.multi.format.homework.problem.ingestion.with.ocr","name":"multi-format homework problem ingestion with ocr","description":"Accepts homework problems via multiple input channels—text input, image uploads of handwritten or printed problems, and potentially photo captures—using optical character recognition (OCR) to convert visual problem representations into machine-readable text. The system likely uses a vision model or dedicated OCR service to parse mathematical notation, diagrams, and handwritten equations, then normalizes the extracted content into a standardized problem representation for downstream processing.","intents":["I want to photograph a handwritten math problem and get an instant solution without typing it out","I need to upload a screenshot of a textbook problem to get help","I'm on mobile and want to quickly snap a picture of homework instead of manually entering text"],"best_for":["Mobile-first students who prefer camera input over typing","Students with handwritten problem sets or textbook images","Non-technical users avoiding manual transcription"],"limitations":["OCR accuracy degrades on poor lighting, handwriting quality, or complex mathematical notation with multiple symbols","No feedback loop for OCR errors—misrecognized problems lead to incorrect solutions without user awareness","Diagram-heavy problems may lose spatial relationships or annotations during conversion"],"requires":["Camera or image upload capability on client device","OCR service integration (likely cloud-based vision API)","Support for common image formats (JPEG, PNG, WebP)"],"input_types":["image/jpeg","image/png","image/webp","text/plain"],"output_types":["text/plain","structured problem representation"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_1","uri":"capability://text.generation.language.step.by.step.solution.generation.with.multi.subject.support","name":"step-by-step solution generation with multi-subject support","description":"Leverages large language models (likely GPT-4 or similar) to generate detailed, step-by-step solutions across math, science, and humanities subjects. The system decomposes problems into logical solution steps, explaining reasoning at each stage and adapting response format based on problem type—showing algebraic manipulations for math, chemical equations for chemistry, essay structure for writing. The LLM likely uses few-shot prompting or fine-tuning to maintain pedagogical clarity and consistency across domains.","intents":["I need a complete worked solution to a calculus problem with intermediate steps shown","I want to understand the reasoning behind a chemistry equation, not just the answer","I'm stuck on a history essay and need help structuring my argument"],"best_for":["Students seeking quick answer verification across diverse subjects","Learners who benefit from worked examples before attempting problems independently","Time-constrained students needing immediate solutions"],"limitations":["No pedagogical depth control—system generates answers optimized for speed, not learning; no scaffolding modes that withhold answers to encourage problem-solving","LLM hallucinations on complex or ambiguous problems can produce plausible-sounding but incorrect solutions without error-checking mechanisms","No subject-specific validation; mathematical errors, factual inaccuracies in science, or logical fallacies in essays may pass through undetected","Responses are deterministic per problem but lack verification against answer keys or expert review"],"requires":["API access to capable LLM (GPT-4, Claude, or equivalent)","Parsed problem representation from ingestion layer","Subject classification or routing logic to select appropriate prompting strategy"],"input_types":["structured problem representation","subject category metadata"],"output_types":["text/plain","text/markdown","LaTeX equations","structured step-by-step solution"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_2","uri":"capability://text.generation.language.multi.format.response.rendering.with.equation.and.diagram.support","name":"multi-format response rendering with equation and diagram support","description":"Transforms LLM-generated solutions into multiple output formats optimized for different problem types and consumption contexts. The system renders mathematical equations using LaTeX or MathML, generates ASCII diagrams or vector graphics for visual explanations, and formats text responses with appropriate typography and structure. Response format is likely selected dynamically based on problem classification—showing chemical structures for chemistry, graphs for physics, formatted essays for humanities.","intents":["I need a solution with properly formatted mathematical equations, not plain-text approximations","I want to see a diagram or graph explaining the solution, not just text","I need the response formatted clearly so I can read it on mobile without scrolling through walls of text"],"best_for":["Students consuming solutions on mobile devices with limited screen real estate","Visual learners who benefit from diagrams, graphs, and formatted equations","Users across diverse subjects requiring subject-specific rendering (chemistry structures, physics diagrams, etc.)"],"limitations":["Diagram generation is likely limited to simple ASCII or basic vector graphics; complex 3D structures or intricate diagrams may be poorly rendered","LaTeX/MathML rendering depends on client-side support; older browsers or mobile apps may display equations as raw code","No interactive elements (e.g., draggable diagrams, zoomable graphs) to enhance understanding"],"requires":["Client-side LaTeX/MathML rendering library (e.g., MathJax, KaTeX)","SVG or canvas support for diagram rendering","Responsive CSS framework for mobile optimization"],"input_types":["structured solution with markup hints","problem classification metadata"],"output_types":["HTML with embedded LaTeX","SVG diagrams","formatted text/markdown","rendered equations"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_3","uri":"capability://automation.workflow.free.no.authentication.access.with.minimal.friction","name":"free, no-authentication access with minimal friction","description":"Provides unrestricted access to homework assistance without requiring account creation, login, or payment. The system likely uses a public API endpoint with rate-limiting (rather than per-user quotas) to prevent abuse while maintaining accessibility. No authentication layer means requests are stateless and anonymous, simplifying infrastructure but eliminating user-specific features like history, preferences, or personalized learning paths.","intents":["I want to quickly get help on a homework problem without signing up for an account","I don't want to enter payment information or deal with subscription management","I need instant access without waiting for email verification or account setup"],"best_for":["Students seeking one-off homework help without long-term commitment","Users in regions with limited payment infrastructure or credit card access","Casual users unwilling to create accounts for occasional use"],"limitations":["No user history or saved solutions—each session is stateless, requiring re-entry of problems","No personalization; system cannot adapt to individual learning styles or track progress over time","Vulnerable to abuse (spam, automated scraping) without per-user rate-limiting; rate-limits apply globally, potentially affecting legitimate users during high traffic","No user feedback loop for model improvement; system cannot learn from individual user corrections or preferences"],"requires":["No authentication credentials","No payment method","Internet connection"],"input_types":["text","image"],"output_types":["text","formatted solution"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_4","uri":"capability://data.processing.analysis.subject.agnostic.problem.routing.and.classification","name":"subject-agnostic problem routing and classification","description":"Automatically classifies incoming homework problems by subject (math, chemistry, physics, biology, history, literature, etc.) and routes them to appropriate solution generation strategies or prompting templates. The classification likely uses keyword extraction, problem structure analysis, or a lightweight classifier to determine subject context, then selects subject-specific few-shot examples or prompting patterns to guide the LLM toward accurate, domain-appropriate solutions.","intents":["I want the system to automatically recognize that my problem is a chemistry equation and format the response accordingly","I need the system to understand context clues in my problem to determine the subject without me explicitly stating it","I want solutions tailored to the specific subject's conventions (e.g., showing chemical structures for chemistry, not just text)"],"best_for":["Students across diverse subjects who don't want to manually select a subject category","Platforms serving K-12 and early undergraduate students across all disciplines","Systems needing to adapt response format dynamically based on problem type"],"limitations":["Classification accuracy degrades on ambiguous problems (e.g., physics problems involving chemistry, or interdisciplinary topics)","No explicit user override; misclassified problems may receive solutions in the wrong subject context without user awareness","Requires training data or heuristics for each supported subject; adding new subjects requires engineering effort"],"requires":["Subject classification model or heuristic engine","Subject-specific prompting templates or few-shot examples","Metadata about problem characteristics per subject"],"input_types":["problem text","problem metadata (optional)"],"output_types":["subject classification label","routing decision"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_5","uri":"capability://automation.workflow.instant.response.generation.with.minimal.latency","name":"instant response generation with minimal latency","description":"Delivers homework solutions with sub-second to few-second latency, optimizing for time-constrained students seeking immediate answers. The system likely uses request batching, response caching for common problems, and optimized LLM inference (e.g., quantization, distillation, or edge deployment) to minimize end-to-end latency from problem ingestion to rendered solution. Caching may leverage problem similarity hashing to serve cached solutions for duplicate or near-duplicate problems.","intents":["I need a homework solution right now, not in 30 seconds or a minute","I want to quickly verify my answer before submitting, so latency matters","I'm on a slow mobile connection and need responses to load quickly"],"best_for":["Time-constrained students (e.g., during class, before submission deadlines)","Mobile users on slower connections who need responsive feedback","Platforms competing on speed as a key differentiator"],"limitations":["Latency optimization may sacrifice solution quality or depth; faster responses often mean less detailed explanations or fewer verification steps","Caching introduces staleness risk; if problem statements change slightly, cached solutions may be incorrect","Latency varies with problem complexity; simple arithmetic problems may be instant, while complex multi-step problems may take longer, creating inconsistent user experience"],"requires":["Optimized LLM inference infrastructure (quantized models, edge deployment, or API with low latency)","Response caching layer with similarity-based key generation","CDN or geographically distributed servers for low-latency delivery"],"input_types":["problem text or image"],"output_types":["solution text"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_6","uri":"capability://automation.workflow.cross.platform.accessibility.via.web.and.mobile","name":"cross-platform accessibility via web and mobile","description":"Delivers homework assistance across web browsers and mobile devices (iOS/Android) through a responsive web interface or native mobile apps, ensuring consistent functionality regardless of platform. The system likely uses responsive CSS, progressive web app (PWA) techniques, or native mobile SDKs to adapt the UI to different screen sizes and input methods (touch vs. keyboard). Mobile optimization includes camera integration for photo uploads and touch-friendly controls.","intents":["I want to use the homework assistant on my phone while at school or home","I need the interface to work on both my laptop and tablet without relearning controls","I want to take a photo of a problem on my phone and get an instant solution"],"best_for":["Mobile-first students who primarily access services via smartphones","Students switching between devices (phone, tablet, laptop) throughout the day","Platforms targeting global audiences with diverse device ecosystems"],"limitations":["Mobile interfaces may lack features available on desktop (e.g., complex diagram rendering, multi-window workflows)","Camera integration requires device permissions; some users may disable camera access, limiting photo upload functionality","Offline functionality is limited; system requires internet connectivity for LLM inference"],"requires":["Responsive web framework (e.g., React, Vue) or native mobile development (Swift/Kotlin)","Mobile camera API integration (WebRTC, native camera access)","Cross-platform testing infrastructure"],"input_types":["text input","image upload (mobile camera or file picker)"],"output_types":["rendered HTML","formatted solution"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_homeworkify-im__cap_7","uri":"capability://safety.moderation.academic.integrity.risk.without.verification.or.pedagogical.scaffolding","name":"academic integrity risk without verification or pedagogical scaffolding","description":"Provides direct answers to homework problems without built-in mechanisms to encourage learning, verify correctness, or detect academic dishonesty. The system lacks features like answer hiding, hint-only modes, or confidence scoring that would enable responsible use. No integration with plagiarism detection or academic integrity monitoring means solutions can be directly copied into submissions without detection. The architecture prioritizes speed and convenience over learning outcomes or institutional compliance.","intents":["I want to quickly copy a solution to submit as my own work (dishonest intent)","I need to verify my answer before submitting, but the system doesn't distinguish between verification and cheating","I want help understanding a problem, but the system only provides answers without pedagogical scaffolding"],"best_for":["Students seeking quick answer verification (legitimate use)","Students committing academic dishonesty (unintended but enabled use case)"],"limitations":["No built-in learning modes or explanation depth controls; system optimizes for answer-finding, not understanding","No verification mechanisms or error-checking; AI hallucinations on complex problems can produce plausible-sounding but incorrect solutions","No academic integrity safeguards; solutions can be directly copied into submissions without detection or attribution","No confidence scoring or uncertainty quantification; students cannot distinguish between high-confidence and speculative answers"],"requires":["Awareness of academic integrity policies at target institutions","Potential integration with plagiarism detection systems (not currently implemented)"],"input_types":["homework problem"],"output_types":["direct answer"],"categories":["safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"low","permissions":["Camera or image upload capability on client device","OCR service integration (likely cloud-based vision API)","Support for common image formats (JPEG, PNG, WebP)","API access to capable LLM (GPT-4, Claude, or equivalent)","Parsed problem representation from ingestion layer","Subject classification or routing logic to select appropriate prompting strategy","Client-side LaTeX/MathML rendering library (e.g., MathJax, KaTeX)","SVG or canvas support for diagram rendering","Responsive CSS framework for mobile optimization","No authentication credentials"],"failure_modes":["OCR accuracy degrades on poor lighting, handwriting quality, or complex mathematical notation with multiple symbols","No feedback loop for OCR errors—misrecognized problems lead to incorrect solutions without user awareness","Diagram-heavy problems may lose spatial relationships or annotations during conversion","No pedagogical depth control—system generates answers optimized for speed, not learning; no scaffolding modes that withhold answers to encourage problem-solving","LLM hallucinations on complex or ambiguous problems can produce plausible-sounding but incorrect solutions without error-checking mechanisms","No subject-specific validation; mathematical errors, factual inaccuracies in science, or logical fallacies in essays may pass through undetected","Responses are deterministic per problem but lack verification against answer keys or expert review","Diagram generation is likely limited to simple ASCII or basic vector graphics; complex 3D structures or intricate diagrams may be poorly rendered","LaTeX/MathML rendering depends on client-side support; older browsers or mobile apps may display equations as raw code","No interactive elements (e.g., draggable diagrams, zoomable graphs) to enhance understanding","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":"2026-05-24T12:16:30.893Z","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=homeworkify-im","compare_url":"https://unfragile.ai/compare?artifact=homeworkify-im"}},"signature":"mwRwyK1UB1Z9Ac4hBpfq4xshh0if+oleIMnY/OK3scNy1zKuv2XFqSW2BSXFXgSdsdxnwQcabBisTVu9SzCWDg==","signedAt":"2026-06-22T19:46:15.445Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/homeworkify-im","artifact":"https://unfragile.ai/homeworkify-im","verify":"https://unfragile.ai/api/v1/verify?slug=homeworkify-im","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"}}