{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_angry-email-translator","slug":"angry-email-translator","name":"Angry Email Translator","type":"webapp","url":"https://angryemailtranslator.com","page_url":"https://unfragile.ai/angry-email-translator","categories":["text-writing"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_angry-email-translator__cap_0","uri":"capability://text.generation.language.emotional.tone.neutralization.via.llm.rewriting","name":"emotional-tone-neutralization-via-llm-rewriting","description":"Analyzes incoming email text for emotional language markers (aggressive vocabulary, ALL CAPS, exclamation chains, sarcasm patterns) and uses a fine-tuned or prompt-engineered LLM to rewrite the message while preserving factual content and intent. The system likely employs a two-stage pipeline: first detecting emotional intensity via keyword/sentiment analysis, then passing the text to an LLM with a system prompt instructing professional tone conversion while maintaining the original message's core request or complaint.","intents":["I need to send a frustrated email to a client but want to remove the anger before hitting send","I want to keep my message's substance but make it sound less accusatory or hostile","I need to convert a draft that sounds unprofessional into something that won't damage my reputation"],"best_for":["customer service representatives handling difficult support tickets","HR professionals responding to employee complaints or disciplinary situations","founders and executives managing high-stakes vendor or investor communications","anyone in a role where a single poorly-worded email could escalate conflict"],"limitations":["No context awareness — cannot understand relationship history, prior conversations, or industry-specific communication norms that should inform tone","May over-sanitize legitimate professional criticism, removing necessary firmness or accountability language","Single-pass rewriting without iterative refinement — no ability to request 'slightly less formal' or 'more assertive' variations","No understanding of sarcasm or cultural communication styles that may be intentional and appropriate in some contexts","Cannot preserve specific voice or personal communication style — output is generic professional tone"],"requires":["Modern web browser with JavaScript enabled","Internet connection to reach LLM API backend","Plain text email content (no HTML formatting support implied)"],"input_types":["plain text email body"],"output_types":["plain text rewritten email"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_angry-email-translator__cap_1","uri":"capability://safety.moderation.sentiment.intensity.detection.and.flagging","name":"sentiment-intensity-detection-and-flagging","description":"Scans input email text for emotional intensity signals including aggressive vocabulary (insults, threats, blame language), punctuation patterns (multiple exclamation marks, ALL CAPS words), and sentiment polarity scoring to determine whether the email warrants rewriting. This likely uses a combination of rule-based pattern matching (regex for caps/punctuation) and a lightweight sentiment classifier (possibly a small transformer model or API call to a sentiment service) to assign a confidence score that triggers the rewriting pipeline.","intents":["I want to know if my email sounds angry before I send it","I need a system to flag high-risk communications that could damage relationships","I want to understand the emotional intensity of my draft so I can decide whether to rewrite it"],"best_for":["users who want a safety check before sending sensitive emails","teams implementing communication guardrails for customer-facing roles","individuals building awareness of their own communication patterns"],"limitations":["Sentiment detection is language-dependent and may fail on non-English emails or regional dialects","Cannot distinguish between justified professional firmness and inappropriate anger — may flag legitimate accountability language","Threshold for 'angry' is likely fixed and not customizable per user, industry, or relationship type","No understanding of context — a sarcastic joke between colleagues might be flagged as hostile"],"requires":["Plain text input","Internet connection for API-based sentiment analysis (if not local)"],"input_types":["plain text email body"],"output_types":["sentiment score (numeric or categorical: low/medium/high)","flagged phrases or patterns","confidence score"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_angry-email-translator__cap_2","uri":"capability://automation.workflow.copy.paste.workflow.email.transformation","name":"copy-paste-workflow-email-transformation","description":"Provides a simple web form interface where users paste raw email text, trigger the transformation, and copy the rewritten output back to their email client. The architecture is stateless — no email client integration, no backend persistence, no authentication — making it a pure input-output utility. This eliminates integration complexity but requires manual copy-paste, which is both a friction point and a safety feature (forces a review step before sending).","intents":["I want to quickly transform an angry email without installing plugins or authenticating","I need a tool that works across all email clients (Gmail, Outlook, Apple Mail, etc.) without setup","I want a final review step where I manually copy the output, giving me a chance to reconsider before sending"],"best_for":["users who value simplicity and zero-friction adoption over seamless integration","organizations that cannot install email client plugins due to IT restrictions","individuals who want the safety of a manual review step before sending"],"limitations":["Requires manual copy-paste workflow — no direct email client integration means extra steps and friction","No persistence — cannot save drafts or transformation history","No multi-email batch processing — one email at a time only","No undo or version history — if user overwrites their original draft, it's lost","No integration with email scheduling or draft management tools"],"requires":["Web browser with JavaScript enabled","Internet connection","Access to email client (separate from the tool)"],"input_types":["plain text pasted into web form"],"output_types":["plain text displayed in web form for copying"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_angry-email-translator__cap_3","uri":"capability://text.generation.language.professional.tone.style.transfer.without.context","name":"professional-tone-style-transfer-without-context","description":"Applies a generic 'professional' writing style to the rewritten email using LLM-based style transfer, converting casual/angry language to formal business register. The system likely uses a prompt template like 'Rewrite this email in a professional, diplomatic tone suitable for business communication' without incorporating domain-specific knowledge, relationship context, or industry conventions. This is a one-size-fits-all approach that produces grammatically correct, inoffensive prose but may lose nuance or appropriate assertiveness.","intents":["I want my email to sound professional and appropriate for a business context","I need to remove casual or hostile language and replace it with formal business tone","I want the rewritten email to be suitable for sending to clients, executives, or HR"],"best_for":["users in formal business environments (finance, law, corporate HR)","customer service roles where standardized professional tone is expected","anyone who needs a quick, generic professional rewrite without customization"],"limitations":["No industry-specific tone — a rewrite for a tech startup will sound identical to one for a law firm","No relationship context — cannot distinguish between peer communication, manager-to-report, or client-facing tone","May over-formalize casual but appropriate communication (e.g., friendly check-ins become stiff)","No ability to preserve intentional assertiveness or necessary accountability language","Generic output lacks personal voice or brand personality"],"requires":["Plain text input","LLM API access (OpenAI, Anthropic, or similar)"],"input_types":["plain text email body"],"output_types":["plain text rewritten email in professional tone"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_angry-email-translator__cap_4","uri":"capability://automation.workflow.free.tier.unlimited.usage.without.authentication","name":"free-tier-unlimited-usage-without-authentication","description":"Offers completely free access to the email transformation service without requiring account creation, login, or API key management. The backend likely uses a shared LLM API quota or a cost-optimized model (smaller, cheaper model or batched inference) to keep per-request costs low enough to sustain free usage. No authentication means no user tracking, no rate limiting per user, and no ability to monetize through premium tiers — the business model is likely based on ads, data collection, or future premium features.","intents":["I want to try this tool without signing up or providing payment information","I need a tool that works immediately without account setup friction","I want to use this tool across multiple devices without managing logins"],"best_for":["individual users testing the tool before recommending to teams","organizations with strict data privacy policies that avoid cloud SaaS","users in regions with payment friction (no credit card, limited payment methods)"],"limitations":["No per-user rate limiting — potential for abuse or API quota exhaustion","No usage history or saved drafts — each session is stateless","No premium tier or advanced features — all users get identical functionality","Potential for service degradation if usage spikes beyond backend capacity","No personalization or learning from user feedback"],"requires":["Web browser","Internet connection","No account or payment method required"],"input_types":["plain text"],"output_types":["plain text"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Modern web browser with JavaScript enabled","Internet connection to reach LLM API backend","Plain text email content (no HTML formatting support implied)","Plain text input","Internet connection for API-based sentiment analysis (if not local)","Web browser with JavaScript enabled","Internet connection","Access to email client (separate from the tool)","LLM API access (OpenAI, Anthropic, or similar)","Web browser"],"failure_modes":["No context awareness — cannot understand relationship history, prior conversations, or industry-specific communication norms that should inform tone","May over-sanitize legitimate professional criticism, removing necessary firmness or accountability language","Single-pass rewriting without iterative refinement — no ability to request 'slightly less formal' or 'more assertive' variations","No understanding of sarcasm or cultural communication styles that may be intentional and appropriate in some contexts","Cannot preserve specific voice or personal communication style — output is generic professional tone","Sentiment detection is language-dependent and may fail on non-English emails or regional dialects","Cannot distinguish between justified professional firmness and inappropriate anger — may flag legitimate accountability language","Threshold for 'angry' is likely fixed and not customizable per user, industry, or relationship type","No understanding of context — a sarcastic joke between colleagues might be flagged as hostile","Requires manual copy-paste workflow — no direct email client integration means extra steps and friction","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":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.561Z","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=angry-email-translator","compare_url":"https://unfragile.ai/compare?artifact=angry-email-translator"}},"signature":"/cXi8REmHoY8UEbNnFHFA8IgzWaBpN+GaMGS80NulrAo9uRFw2zubsb0h36I7TV4e7fEPP+ebCdT4sbGEjukDw==","signedAt":"2026-06-21T19:04:49.556Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/angry-email-translator","artifact":"https://unfragile.ai/angry-email-translator","verify":"https://unfragile.ai/api/v1/verify?slug=angry-email-translator","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"}}