{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_we-write-cards","slug":"we-write-cards","name":"We Write Cards","type":"product","url":"https://wewritecards.com","page_url":"https://unfragile.ai/we-write-cards","categories":["text-writing"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_we-write-cards__cap_0","uri":"capability://text.generation.language.occasion.aware.greeting.card.message.generation","name":"occasion-aware greeting card message generation","description":"Generates personalized greeting card text by classifying the occasion type (birthday, condolence, apology, milestone, etc.) and applying occasion-specific prompt templates to an LLM. The system likely uses a taxonomy of card occasions mapped to tone/style guidelines, then injects recipient context (name, relationship, specific details) into the prompt before calling an LLM API. This ensures thematically appropriate messaging rather than generic output.","intents":["I need to write a heartfelt condolence message but don't know where to start","Generate 50 personalized birthday messages for our corporate client list without manual writing","Create an apology card message that feels sincere but I'm too emotionally overwhelmed to write","I need a milestone celebration message (retirement, promotion, graduation) that matches the recipient's personality"],"best_for":["busy professionals sending 5+ cards per month","HR teams managing corporate greeting programs","individuals struggling with emotional expression in writing","businesses automating bulk personalized outreach"],"limitations":["Generated messages follow template patterns and may feel formulaic after multiple uses","Limited ability to capture truly unique relationships or inside jokes without extensive custom input","No memory of previous cards sent to same recipient, risking repetitive messaging","Tone calibration depends entirely on occasion classification accuracy — misclassified occasions produce tonally inappropriate messages"],"requires":["Internet connection for API calls to LLM backend","Recipient name and relationship type as minimum input","Occasion category selection or auto-detection capability"],"input_types":["text (occasion type, recipient name, relationship, optional personal details)","structured data (occasion category, recipient metadata)"],"output_types":["text (greeting card message, typically 50-200 words)"],"categories":["text-generation-language","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_1","uri":"capability://text.generation.language.recipient.context.injection.and.personalization","name":"recipient context injection and personalization","description":"Accepts recipient metadata (name, relationship to sender, age, interests, shared memories) and injects this data into the message generation prompt to create contextually relevant, personalized output. The system likely maintains a simple recipient profile schema and uses variable substitution or prompt engineering to weave details into the generated message, making each card feel individually crafted rather than mass-produced.","intents":["Generate a birthday card that mentions the recipient's hobby or recent life event","Create personalized messages for 30 employees retiring this year, each referencing their tenure and role","Write a condolence card that acknowledges the specific relationship (colleague vs. close friend) to the deceased","Generate an apology message that references the specific incident without sounding generic"],"best_for":["businesses sending bulk corporate cards with employee-specific details","individuals with large social networks who want authentic-feeling personalization at scale","HR departments managing lifecycle events (onboarding, retirement, milestones)"],"limitations":["Personalization quality degrades if recipient metadata is sparse or inaccurate","No learning mechanism — system cannot improve personalization based on recipient feedback or past interactions","Shared memories or inside jokes require manual input; system cannot infer relationship depth from metadata alone","Risk of awkward or inappropriate personalization if metadata is outdated (e.g., referencing a hobby the recipient no longer has)"],"requires":["Recipient name (minimum)","Relationship type or context (optional but recommended)","Optional: age, interests, recent life events, shared memories"],"input_types":["structured data (recipient profile with name, relationship, metadata fields)","text (free-form notes about the recipient)"],"output_types":["text (personalized greeting card message)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_2","uri":"capability://automation.workflow.bulk.card.generation.with.batch.processing","name":"bulk card generation with batch processing","description":"Accepts a CSV or list of multiple recipients and generates personalized messages for all of them in a single operation, likely using batch API calls or queued processing to handle 10-1000+ cards efficiently. The system probably implements rate-limiting awareness, cost optimization (batching requests to reduce API calls), and progress tracking to manage large-scale generation without overwhelming the LLM backend or incurring excessive costs.","intents":["Generate 200 personalized birthday cards for our annual employee celebration in one operation","Create condolence messages for all 50 attendees of a memorial service with minimal manual effort","Batch-generate thank-you cards for 100 wedding guests with personalized messages based on their gift","Produce 30 retirement cards for departing employees, each with role-specific acknowledgment"],"best_for":["corporate HR teams managing lifecycle events at scale","event planners sending bulk personalized thank-you cards","businesses with annual greeting programs (holidays, milestones)","nonprofits sending donor appreciation cards to hundreds of supporters"],"limitations":["Batch processing introduces latency — users must wait for all cards to generate rather than getting instant results","Cost scales linearly with batch size; generating 1000 cards may be prohibitively expensive vs. manual writing","No per-card quality review during batch processing; errors or inappropriate messages may propagate across entire batch","Recipient data quality issues (missing names, incorrect relationships) affect entire batch output","No built-in deduplication — system may generate similar messages if recipient metadata is too similar"],"requires":["CSV file or structured list with recipient data (name, relationship, optional metadata)","Occasion type specified for entire batch or per-recipient","Sufficient API quota/credits for batch size"],"input_types":["structured data (CSV, JSON array of recipient objects)","text (occasion type, optional batch-level context)"],"output_types":["text (array of personalized messages, typically exported as CSV or PDF)","structured data (JSON array of message objects with recipient mapping)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_3","uri":"capability://text.generation.language.tone.and.style.customization.per.occasion","name":"tone and style customization per occasion","description":"Allows users to specify or select the emotional tone (formal, casual, humorous, heartfelt, etc.) and writing style (poetic, straightforward, sentimental, etc.) for generated messages. The system likely maintains a tone/style taxonomy and applies these as additional constraints in the LLM prompt, ensuring that a birthday card for a boss differs stylistically from one for a close friend, even if the occasion is the same.","intents":["Generate a formal condolence message for a professional colleague vs. a heartfelt one for a close friend","Create a humorous birthday card for a sibling but a respectful one for a mentor","Write a casual apology to a friend but a formal one to a business partner","Generate milestone messages that match the recipient's personality (witty vs. sentimental)"],"best_for":["users wanting to customize message tone beyond occasion type","businesses maintaining brand voice consistency across corporate greetings","individuals with diverse relationships who need tone variation"],"limitations":["Tone customization is limited to predefined options; users cannot fully customize voice without additional input","LLM may struggle to balance multiple tone constraints (e.g., 'funny but respectful' for a sensitive occasion)","No feedback loop — system cannot learn if generated tone matched user intent","Tone selection requires additional user input, adding friction to the generation workflow"],"requires":["Occasion type (primary)","Tone/style selection from predefined options or custom input"],"input_types":["text (tone/style description or selection from dropdown)","structured data (tone enum or style category)"],"output_types":["text (greeting card message with specified tone)"],"categories":["text-generation-language","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_4","uri":"capability://planning.reasoning.occasion.type.classification.and.suggestion","name":"occasion type classification and suggestion","description":"Automatically detects or suggests the appropriate occasion category (birthday, condolence, apology, congratulations, thank-you, etc.) based on user input or context. The system likely uses keyword matching, NLP classification, or a guided workflow to help users identify the right occasion, ensuring that the subsequent message generation uses the correct tone and template. This prevents users from accidentally selecting 'birthday' when they meant 'condolence'.","intents":["I'm not sure what category this card falls into — help me classify it","Suggest the right occasion type based on the situation I describe","Auto-detect the occasion from a brief description of why I'm sending the card","Show me all available occasion categories so I can pick the right one"],"best_for":["users unfamiliar with card occasion taxonomy","first-time users who need guided workflow","bulk operations where occasion type must be inferred from metadata"],"limitations":["Classification accuracy depends on user input clarity; vague descriptions may result in wrong occasion type","Limited to predefined occasion categories; unusual or niche occasions may not have a matching type","No context awareness — system cannot infer occasion from relationship history or past interactions","Misclassification cascades to message generation, producing tonally inappropriate output"],"requires":["User description of the situation or explicit occasion selection","Optional: recipient relationship context to improve classification accuracy"],"input_types":["text (free-form description of the occasion)","structured data (relationship type, event type)"],"output_types":["text (suggested occasion category or list of options)","structured data (occasion enum with confidence score)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_5","uri":"capability://text.generation.language.message.preview.and.editing.before.finalization","name":"message preview and editing before finalization","description":"Displays generated card messages to users for review and allows inline editing, refinement, or regeneration before the message is finalized. The system likely implements a preview UI with edit capabilities, allowing users to tweak AI-generated text, request alternative versions, or manually adjust tone/personalization. This quality gate prevents users from sending messages they're unhappy with and provides a human-in-the-loop safeguard.","intents":["Review the generated message and make small edits before sending","Request an alternative version if the first one doesn't feel right","Adjust the tone or personalization details after seeing the preview","Ensure the message is appropriate before committing to printing or sending"],"best_for":["users who want quality assurance before sending","individuals with high emotional stakes (condolences, apologies)","businesses ensuring brand voice consistency before bulk sending"],"limitations":["Preview-and-edit workflow adds latency to the generation process","Bulk operations with preview requirements become bottlenecks if users must manually review 100+ cards","No version control — users cannot easily compare multiple generated versions side-by-side","Editing capabilities may be limited to text-level changes, not structural rewrites"],"requires":["Generated message (output from message generation capability)","User access to edit interface (web UI or API)"],"input_types":["text (generated message for review)","text (user edits or refinement requests)"],"output_types":["text (finalized message after user edits)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_6","uri":"capability://tool.use.integration.integration.with.printing.and.fulfillment.services","name":"integration with printing and fulfillment services","description":"Connects generated card messages to physical printing and shipping services, allowing users to move directly from message generation to printed card production without manual export or external tool switching. The system likely implements API integrations with print-on-demand providers (e.g., Vistaprint, Shutterfly, or custom fulfillment partners) and handles order placement, address validation, and tracking. This closes the gap between digital message creation and physical delivery.","intents":["Generate a message and immediately order printed cards without leaving the platform","Automatically send personalized printed cards to 50 recipients with one click","Track the printing and shipping status of bulk card orders","Customize card design (template, colors, fonts) alongside message generation"],"best_for":["users who want end-to-end card creation without external tools","businesses automating bulk card fulfillment","individuals who prefer physical cards over digital delivery"],"limitations":["Integration with printing services adds cost and complexity; not all users may want printed cards","Printing turnaround times (3-7 days) introduce latency vs. instant digital delivery","Address validation and shipping logistics add friction and potential for errors","Pricing becomes opaque when combining message generation + printing + shipping","Limited to supported printing partners; users cannot use their preferred printer if not integrated"],"requires":["Integration with at least one print-on-demand or fulfillment service","Recipient shipping address for physical delivery","Payment method for printing and shipping costs","Card design template or customization options"],"input_types":["text (generated message)","structured data (recipient address, card design preferences)","image (optional custom card design)"],"output_types":["structured data (print order confirmation, tracking number)","text (order status and shipping updates)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_7","uri":"capability://image.visual.card.design.template.selection.and.customization","name":"card design template selection and customization","description":"Provides a library of pre-designed card templates (visual layouts, colors, fonts, imagery) that users can select and customize to match the occasion and recipient. The system likely maintains a template database organized by occasion type, allows users to customize colors/fonts/images, and combines the selected design with the generated message for final output. This ensures that the visual presentation matches the emotional tone of the message.","intents":["Choose a birthday card design that matches the recipient's personality","Customize a condolence card template with appropriate imagery and colors","Select a corporate thank-you card design that matches brand guidelines","Preview how the generated message looks on the selected card design"],"best_for":["users who want visually polished cards without design skills","businesses maintaining brand consistency across printed materials","individuals who care about aesthetic presentation alongside message quality"],"limitations":["Template library may be limited; users with specific design preferences may not find suitable options","Customization options may be restricted to basic parameters (colors, fonts) without full design control","Design-message mismatch is possible if users select inappropriate templates for the occasion","No design preview until final output; users cannot see how message and design interact until generation is complete"],"requires":["Template library with designs organized by occasion","Customization UI for colors, fonts, and optional imagery","Integration with message generation to combine text and design"],"input_types":["structured data (template selection, customization parameters)","text (generated message to be placed on template)"],"output_types":["image (rendered card design with message)","structured data (design metadata for printing)"],"categories":["image-visual","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_8","uri":"capability://planning.reasoning.recipient.relationship.mapping.and.context.inference","name":"recipient relationship mapping and context inference","description":"Maintains a model of recipient relationships (friend, family, colleague, mentor, acquaintance, etc.) and uses this context to inform message tone, personalization depth, and occasion appropriateness. The system likely stores or infers relationship type from user input and applies relationship-specific rules to message generation (e.g., formal tone for colleagues, casual for close friends). This ensures that messages feel appropriate to the relationship dynamic.","intents":["Generate different tones for the same occasion depending on relationship (boss vs. friend)","Infer appropriate personalization depth based on relationship closeness","Suggest occasions that match the relationship type (e.g., 'thank-you' for a mentor)","Prevent inappropriate personalization for distant relationships (e.g., not mentioning inside jokes with acquaintances)"],"best_for":["users with diverse social networks who need relationship-aware messaging","businesses managing employee relationships at scale","individuals who struggle with tone calibration across different relationships"],"limitations":["Relationship type must be explicitly specified or inferred from limited context; system cannot learn from interaction history","Relationship dynamics are complex and nuanced; binary categories (friend/colleague) oversimplify reality","No memory of past interactions or relationship evolution; system treats each card independently","Risk of inappropriate tone if relationship type is misclassified or outdated"],"requires":["Recipient relationship type (friend, family, colleague, mentor, etc.)","Optional: relationship duration or closeness metric"],"input_types":["structured data (relationship type enum)","text (relationship description or context)"],"output_types":["text (message with relationship-appropriate tone)","structured data (tone/style recommendations based on relationship)"],"categories":["planning-reasoning","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_we-write-cards__cap_9","uri":"capability://text.generation.language.occasion.specific.prompt.template.library","name":"occasion-specific prompt template library","description":"Maintains a curated library of LLM prompts optimized for each occasion type (birthday, condolence, apology, congratulations, etc.), ensuring that generated messages have appropriate tone, structure, and emotional resonance. The system likely stores templates with placeholders for recipient context, tone modifiers, and relationship type, then injects user data at generation time. This is more sophisticated than generic prompting and ensures consistency across all cards of the same occasion type.","intents":["Generate condolence messages that are emotionally appropriate and avoid common pitfalls","Create apology messages that feel sincere without being overly dramatic","Produce congratulations messages that match the significance of the achievement","Ensure all birthday messages follow a consistent structure and tone"],"best_for":["teams managing occasion-specific messaging at scale","users who want consistent quality across multiple cards of the same type","businesses ensuring brand voice consistency"],"limitations":["Template library is finite; unusual or niche occasions may not have optimized prompts","Templates are static and may not adapt to edge cases or unusual relationship dynamics","No feedback loop to improve templates based on user satisfaction or message quality","Template maintenance requires ongoing curation and testing"],"requires":["Occasion type classification (to select appropriate template)","Recipient context and personalization data"],"input_types":["structured data (occasion type, recipient context)","text (optional custom instructions or tone modifiers)"],"output_types":["text (generated message using occasion-specific template)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Internet connection for API calls to LLM backend","Recipient name and relationship type as minimum input","Occasion category selection or auto-detection capability","Recipient name (minimum)","Relationship type or context (optional but recommended)","Optional: age, interests, recent life events, shared memories","CSV file or structured list with recipient data (name, relationship, optional metadata)","Occasion type specified for entire batch or per-recipient","Sufficient API quota/credits for batch size","Occasion type (primary)"],"failure_modes":["Generated messages follow template patterns and may feel formulaic after multiple uses","Limited ability to capture truly unique relationships or inside jokes without extensive custom input","No memory of previous cards sent to same recipient, risking repetitive messaging","Tone calibration depends entirely on occasion classification accuracy — misclassified occasions produce tonally inappropriate messages","Personalization quality degrades if recipient metadata is sparse or inaccurate","No learning mechanism — system cannot improve personalization based on recipient feedback or past interactions","Shared memories or inside jokes require manual input; system cannot infer relationship depth from metadata alone","Risk of awkward or inappropriate personalization if metadata is outdated (e.g., referencing a hobby the recipient no longer has)","Batch processing introduces latency — users must wait for all cards to generate rather than getting instant results","Cost scales linearly with batch size; generating 1000 cards may be prohibitively expensive vs. manual writing","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.6799999999999999,"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=we-write-cards","compare_url":"https://unfragile.ai/compare?artifact=we-write-cards"}},"signature":"4Xa+fiHJeELX6cWLU0iPQR00gpPN3oEOaIHDlne5ZFhd8sXBEm4RQKIO7Gbfil64ig5XCntlVXxnu96aB1TgBw==","signedAt":"2026-06-21T01:37:22.618Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/we-write-cards","artifact":"https://unfragile.ai/we-write-cards","verify":"https://unfragile.ai/api/v1/verify?slug=we-write-cards","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"}}