{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-gpt-for-gmail","slug":"gpt-for-gmail","name":"GPT for Gmail","type":"product","url":"https://workspace.google.com/marketplace/app/gpt_for_gmail_ai_email_assistant_gemini/899305976589","page_url":"https://unfragile.ai/gpt-for-gmail","categories":["app-builders"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-gpt-for-gmail__cap_0","uri":"capability://text.generation.language.context.aware.email.draft.generation.with.recipient.intelligence","name":"context-aware email draft generation with recipient intelligence","description":"Generates email drafts by analyzing the current message thread, recipient identity, and conversation history to produce contextually appropriate responses. The system integrates with Gmail's message parsing API to extract thread context, applies LLM-based tone matching based on detected sender communication style, and inserts generated content directly into Gmail's compose window via DOM manipulation or Gmail API integration.","intents":["I want to quickly draft a professional reply without starting from scratch","Generate a response that matches the tone and style of the incoming email","Create a follow-up email that references specific details from the conversation thread"],"best_for":["busy professionals managing high email volume","non-native English speakers seeking assistance with professional communication","teams with standardized email communication patterns"],"limitations":["Cannot access email attachments or embedded images for context","May misinterpret sarcasm or cultural context in thread history","Requires manual review before sending — no auto-send capability to prevent errors","Limited to Gmail's supported character encoding; may fail on non-Latin scripts"],"requires":["Gmail account with active inbox","Google Workspace or personal Google account","Extension/add-on installed and authenticated with Gmail API scopes","JavaScript enabled in browser for DOM interaction"],"input_types":["email thread text","recipient email address","conversation history metadata"],"output_types":["plain text email draft","formatted HTML email with basic styling"],"categories":["text-generation-language","email-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_1","uri":"capability://text.generation.language.email.summarization.with.key.point.extraction","name":"email summarization with key point extraction","description":"Analyzes incoming emails or entire threads to extract key information, action items, and decisions, then presents a condensed summary in a sidebar or popup. Uses extractive and abstractive summarization techniques to identify entities (names, dates, amounts), sentiment, and urgency signals, then formats output as bullet points or structured data for quick scanning.","intents":["I need to quickly understand the main points of a long email without reading it all","Extract action items and deadlines from email threads automatically","Identify the sentiment and urgency level of incoming messages"],"best_for":["executives and managers processing high-volume inboxes","customer support teams triaging incoming requests","project managers tracking action items across email threads"],"limitations":["Summarization quality degrades on highly technical or domain-specific content","May miss implicit context or unstated assumptions in casual emails","Cannot summarize emails with only images or non-text attachments","Latency of 2-5 seconds per email may feel slow for real-time triage"],"requires":["Gmail account with active inbox","Extension/add-on installed with Gmail API read permissions","Network connectivity for LLM inference (cloud-based processing)"],"input_types":["email message body","email thread (multiple messages)","email metadata (sender, subject, timestamp)"],"output_types":["text summary (bullet points)","structured JSON with key entities and action items","sentiment classification (positive/negative/neutral)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_2","uri":"capability://data.processing.analysis.intelligent.email.classification.and.labeling.with.auto.tagging","name":"intelligent email classification and labeling with auto-tagging","description":"Automatically categorizes incoming emails into user-defined or predefined labels (e.g., urgent, follow-up, FYI, action-required) using multi-label text classification. The system learns from user labeling patterns via feedback loops, applies rule-based heuristics (e.g., flagging emails with 'ASAP' or from VIP contacts), and integrates with Gmail's label API to apply tags without user intervention.","intents":["Automatically organize my inbox by priority and category without manual labeling","Flag emails that require my immediate action or response","Learn my labeling preferences and apply them to new incoming emails"],"best_for":["teams with standardized email workflows and label hierarchies","individuals managing multiple projects or stakeholder groups","organizations seeking to reduce email triage time"],"limitations":["Classification accuracy depends on training data quality — may misclassify novel email types","Cannot create new labels dynamically; limited to pre-configured taxonomy","Feedback loops require manual correction, which adds overhead if initial accuracy is low","May over-classify emails as 'urgent' if sender frequently uses urgent language"],"requires":["Gmail account with label management enabled","Extension/add-on with Gmail API label management scopes","Initial training period (20-50 manually labeled emails) for personalized accuracy"],"input_types":["email subject line","email body text","sender identity and contact frequency","historical user labeling patterns"],"output_types":["label assignments (single or multi-label)","confidence scores per label","classification reasoning (optional explainability)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_3","uri":"capability://text.generation.language.smart.reply.suggestions.with.one.click.insertion","name":"smart reply suggestions with one-click insertion","description":"Generates 2-3 contextually relevant short reply options (e.g., 'Thanks, I'll review and get back to you') based on email content and detected intent, displaying them as clickable buttons in the Gmail UI. Uses intent classification (question, request, announcement, etc.) to generate appropriate response templates, then inserts selected reply directly into the compose field with minimal user editing required.","intents":["I want to send a quick acknowledgment without composing a full reply","Generate appropriate response options for different email types (questions, requests, announcements)","Speed up email response time for high-volume senders"],"best_for":["customer support representatives handling repetitive inquiries","busy professionals responding to routine emails","teams with standardized communication templates"],"limitations":["Generated replies are generic and may not address specific details or nuance","Cannot handle complex multi-part questions requiring detailed answers","Suggestions may be inappropriate for sensitive or emotionally charged emails","Limited to short-form replies (typically <200 characters per suggestion)"],"requires":["Gmail account with compose access","Extension/add-on installed with Gmail API compose integration","Real-time LLM inference capability (cloud-based)"],"input_types":["email subject and body","detected email intent (question, request, announcement)","user's previous reply patterns (optional)"],"output_types":["text suggestions (3 options)","formatted reply text ready for insertion into compose field"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_4","uri":"capability://text.generation.language.email.tone.and.sentiment.analysis.with.communication.coaching","name":"email tone and sentiment analysis with communication coaching","description":"Analyzes draft emails before sending to detect tone (formal, casual, aggressive, apologetic), sentiment (positive, negative, neutral), and potential communication issues (e.g., unclear requests, unintended rudeness). Provides real-time feedback and suggestions to adjust language, reframe requests, or soften harsh language, helping users communicate more effectively.","intents":["Check my email tone before sending to avoid miscommunication","Get suggestions to make my email more professional or empathetic","Identify unclear or ambiguous phrasing that might confuse the recipient"],"best_for":["non-native English speakers seeking communication assistance","teams with cross-cultural communication challenges","individuals managing sensitive or high-stakes email conversations"],"limitations":["Tone detection is subjective and may not align with user's intent in all contexts","Cannot understand cultural or organizational norms that affect appropriate tone","Suggestions may be overly cautious, making emails sound robotic or over-formal","Latency of 1-2 seconds per analysis may interrupt user's writing flow"],"requires":["Gmail account with compose access","Extension/add-on installed with real-time text analysis capability","Network connectivity for LLM-based tone analysis"],"input_types":["draft email text","recipient context (optional: relationship, communication history)"],"output_types":["tone classification (formal/casual/aggressive/apologetic)","sentiment score","list of flagged phrases with suggestions for revision","rewritten alternatives for problematic sentences"],"categories":["text-generation-language","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_5","uri":"capability://search.retrieval.email.search.and.retrieval.with.natural.language.queries","name":"email search and retrieval with natural language queries","description":"Enables searching Gmail inbox using natural language queries (e.g., 'emails about the Q4 budget from finance team') instead of Gmail's native search syntax. Converts natural language to Gmail search operators, applies semantic similarity matching for fuzzy retrieval, and returns ranked results based on relevance to the query intent.","intents":["Find emails using conversational language instead of learning Gmail search syntax","Retrieve emails based on semantic meaning rather than exact keyword matching","Search across multiple criteria (sender, topic, date range) in a single query"],"best_for":["users unfamiliar with Gmail's advanced search operators","teams searching for emails by topic or context rather than keywords","individuals managing large archives requiring semantic search"],"limitations":["Semantic search requires email indexing, which adds latency on first use","Natural language parsing may misinterpret ambiguous queries","Cannot search email attachments or embedded content","Requires additional storage for embedding vectors if using semantic search"],"requires":["Gmail account with search access","Extension/add-on with Gmail API search scopes","Network connectivity for NLP-based query parsing"],"input_types":["natural language search query (text)"],"output_types":["ranked list of matching emails","relevance scores per result","highlighted matching phrases in email previews"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_6","uri":"capability://automation.workflow.email.scheduling.and.follow.up.reminders.with.ai.suggested.timing","name":"email scheduling and follow-up reminders with ai-suggested timing","description":"Suggests optimal send times for emails based on recipient timezone, historical open rates, and communication patterns. Also generates automatic follow-up reminders if emails go unanswered, with AI-suggested follow-up templates and timing intervals. Integrates with Gmail's scheduled send feature and task management systems to track pending responses.","intents":["Schedule emails to send at times when recipients are most likely to read them","Get reminders to follow up on emails that haven't received responses","Automatically generate follow-up messages with appropriate timing"],"best_for":["sales professionals managing follow-up cadences","project managers tracking stakeholder responses","teams with distributed global teams across timezones"],"limitations":["Optimal send time predictions require historical data; new recipients have no baseline","Cannot guarantee email delivery or open rates based on send time alone","Follow-up reminders may be perceived as spam if too aggressive","Timezone detection relies on recipient profile data, which may be incomplete"],"requires":["Gmail account with scheduled send feature enabled","Extension/add-on with Gmail API send and task management scopes","Historical email open/response data for personalized timing suggestions"],"input_types":["email draft","recipient email address and timezone","historical communication patterns (optional)"],"output_types":["suggested send time (timestamp)","follow-up reminder schedule (dates and times)","auto-generated follow-up email templates"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gpt-for-gmail__cap_7","uri":"capability://text.generation.language.email.template.generation.and.personalization.with.variable.injection","name":"email template generation and personalization with variable injection","description":"Creates reusable email templates from scratch or by analyzing existing sent emails, then personalizes them with dynamic variables (recipient name, company, previous interactions) at send time. Uses pattern recognition to identify boilerplate sections in user's sent folder, extracts them as template components, and provides a template library with search and categorization.","intents":["Create email templates for common scenarios without starting from scratch","Personalize templates with recipient-specific information automatically","Build a searchable library of templates organized by use case"],"best_for":["sales teams sending similar emails to multiple prospects","customer support teams with standardized response templates","teams seeking to maintain consistent communication style"],"limitations":["Template generation may extract overly generic boilerplate, reducing personalization value","Variable injection requires clean data sources; missing or inconsistent recipient data breaks personalization","Cannot handle complex conditional logic (e.g., different templates based on recipient segment)","Template library management requires manual curation to prevent clutter"],"requires":["Gmail account with sent folder access","Extension/add-on with Gmail API template management scopes","Contact database or CRM integration for variable data (optional but recommended)"],"input_types":["existing sent emails (for pattern extraction)","template text with variable placeholders","recipient contact data (name, company, email)"],"output_types":["email template (text with variable markers)","personalized email draft (with variables replaced)","template metadata (category, use case, creation date)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"high","permissions":["Gmail account with active inbox","Google Workspace or personal Google account","Extension/add-on installed and authenticated with Gmail API scopes","JavaScript enabled in browser for DOM interaction","Extension/add-on installed with Gmail API read permissions","Network connectivity for LLM inference (cloud-based processing)","Gmail account with label management enabled","Extension/add-on with Gmail API label management scopes","Initial training period (20-50 manually labeled emails) for personalized accuracy","Gmail account with compose access"],"failure_modes":["Cannot access email attachments or embedded images for context","May misinterpret sarcasm or cultural context in thread history","Requires manual review before sending — no auto-send capability to prevent errors","Limited to Gmail's supported character encoding; may fail on non-Latin scripts","Summarization quality degrades on highly technical or domain-specific content","May miss implicit context or unstated assumptions in casual emails","Cannot summarize emails with only images or non-text attachments","Latency of 2-5 seconds per email may feel slow for real-time triage","Classification accuracy depends on training data quality — may misclassify novel email types","Cannot create new labels dynamically; limited to pre-configured taxonomy","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"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":"2026-06-17T09:51:03.041Z","last_scraped_at":"2026-05-03T14:00:20.516Z","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=gpt-for-gmail","compare_url":"https://unfragile.ai/compare?artifact=gpt-for-gmail"}},"signature":"Keje6Cb462ZDSGDC+taAvB7n+qnqWuYTuwNRuvD9nB1opE3Alvzi2yCSMcP9icjdRuGvZFla7H9aI2l0Qbs+DA==","signedAt":"2026-06-20T12:14:02.113Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gpt-for-gmail","artifact":"https://unfragile.ai/gpt-for-gmail","verify":"https://unfragile.ai/api/v1/verify?slug=gpt-for-gmail","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"}}