{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_bestregards","slug":"bestregards","name":"Bestregards","type":"extension","url":"https://bestregards.app","page_url":"https://unfragile.ai/bestregards","categories":["text-writing"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_bestregards__cap_0","uri":"capability://text.generation.language.in.context.email.response.generation.with.dom.based.composition","name":"in-context email response generation with dom-based composition","description":"Generates professional email replies by injecting an AI composition interface directly into Gmail/web email clients via Chrome extension content scripts, capturing the current email thread context through DOM parsing and passing it to a backend LLM API. The extension intercepts compose actions, extracts sender metadata and message body via DOM selectors, and streams generated responses back into the compose field without requiring tab switching or manual context copying.","intents":["Draft a professional reply to an incoming email without leaving the inbox view","Generate multiple response options for a single email to choose from","Quickly compose replies to high-volume incoming messages during busy periods","Maintain professional tone and structure in rapid-fire email exchanges"],"best_for":["Knowledge workers receiving 50+ emails daily who prioritize speed over customization","Remote teams managing asynchronous communication across time zones","Customer-facing roles (support, sales) handling repetitive inquiry patterns"],"limitations":["DOM-based context extraction only works on web-based email interfaces (Gmail, Outlook Web, etc.) — no native Outlook or Apple Mail support due to extension API constraints","Context window limited to visible email thread; cannot access full conversation history if emails are archived or in separate folders","No persistent memory of user writing style or preferences across sessions — each response generated independently without learning from past corrections","Latency of 2-5 seconds per generation due to API round-trip, making real-time typing-as-you-go composition impractical"],"requires":["Chrome browser 90+","Active Gmail, Outlook Web, or compatible web email account","API key for backend LLM provider (OpenAI, Anthropic, or proprietary model)","Active internet connection for API calls"],"input_types":["email thread text (extracted via DOM)","sender metadata (name, email address)","user-provided tone/style hints (optional)"],"output_types":["plain text email response","multiple response variants (if multi-option mode enabled)"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_1","uri":"capability://text.generation.language.tone.and.style.parameterization.for.response.generation","name":"tone and style parameterization for response generation","description":"Allows users to specify desired tone (professional, casual, assertive, empathetic) and style parameters (length, formality level, technical depth) which are passed as system prompt modifiers to the backend LLM before generation. The extension likely maintains a preset library of tone templates and maps user selections to prompt engineering patterns that influence model behavior without requiring fine-tuning.","intents":["Generate a response that matches my company's communication style guide","Draft a reply that sounds more empathetic or assertive depending on the situation","Keep responses concise for busy executives or detailed for technical stakeholders","Adjust formality level based on relationship with the recipient"],"best_for":["Teams with standardized communication guidelines (customer success, HR, legal)","Professionals managing relationships across different organizational levels","Non-native English speakers who want consistent, polished tone"],"limitations":["Tone customization is limited to preset templates — no fine-grained control over specific word choice or phrasing patterns","No learning mechanism to adapt tone based on user corrections or feedback; each generation starts from the same template","Tone presets may not capture nuanced cultural or industry-specific communication norms","Conflicting tone parameters (e.g., 'assertive' + 'empathetic') may produce inconsistent results depending on LLM training"],"requires":["Chrome extension UI with tone selector dropdown or radio buttons","Backend prompt template library (likely 5-10 predefined tone variants)","LLM API that accepts system prompt modifications"],"input_types":["tone selection (enum: professional, casual, assertive, empathetic, etc.)","style parameters (length: short/medium/long, formality: high/medium/low)","email thread context"],"output_types":["text response tailored to specified tone and style"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_2","uri":"capability://automation.workflow.freemium.api.quota.management.with.usage.tracking","name":"freemium api quota management with usage tracking","description":"Implements a client-side and server-side quota system that tracks API calls per user (likely per day or per month) and gates response generation based on remaining quota. The extension likely displays quota status in the UI and enforces hard limits for free-tier users, with upgrade prompts when quota is exhausted. Backend tracks usage via user ID or API key and returns quota headers in API responses.","intents":["Test the extension's core functionality without paying upfront","Understand my usage patterns before committing to a paid plan","Know exactly how many responses I have left before hitting limits","Upgrade to paid when free tier no longer meets my needs"],"best_for":["Individual contributors and small teams evaluating the tool","Cost-conscious users who want to validate ROI before subscription","Users with variable email volume who want to test before committing"],"limitations":["Free tier quota is likely very restrictive (e.g., 5-10 responses/day), making it unsuitable for high-volume users without immediate upgrade","No rollover of unused quota — daily/monthly limits reset regardless of usage patterns","Quota exhaustion blocks all functionality; no graceful degradation or partial-feature access","No visibility into quota consumption patterns or recommendations for upgrade timing"],"requires":["User account system with authentication (email/password or OAuth)","Backend API with quota tracking and enforcement logic","Client-side quota state management in extension storage"],"input_types":["user authentication token","API request for response generation"],"output_types":["quota status (remaining responses, reset date)","upgrade prompt or generation result"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_3","uri":"capability://text.generation.language.multi.variant.response.generation.with.user.selection","name":"multi-variant response generation with user selection","description":"Generates multiple response options (typically 2-3 variants) for a single email, each with slightly different tone, length, or approach, and presents them in a UI selector for the user to choose from before inserting into the compose field. The backend likely makes multiple LLM calls with different system prompts or temperature settings to produce variation, or uses a single call with a prompt requesting multiple options.","intents":["See multiple ways to phrase a response and pick the one that feels right","Compare a formal vs. casual version of the same reply","Get options that range from brief to detailed for different contexts","Reduce the need to manually edit generated responses by choosing a closer match upfront"],"best_for":["Users who want agency in response selection rather than accepting a single generated option","Professionals managing diverse stakeholder relationships requiring different communication styles","Teams where response tone is critical (customer-facing, executive communication)"],"limitations":["Generating multiple variants increases API latency by 2-3x (3-5 calls instead of 1), making the feature slower than single-response generation","Variants are generated independently without cross-variant optimization — may produce redundant or contradictory options","No mechanism to learn which variants users prefer over time; selection history is not used to improve future generations","UI space constraints may limit the number of variants displayed (typically 2-3 max), reducing choice diversity"],"requires":["Backend LLM API with capacity for multiple parallel or sequential calls","UI component for variant selection (radio buttons, cards, or carousel)","Prompt templates for generating stylistic variation"],"input_types":["email thread context","tone/style parameters (optional)"],"output_types":["array of 2-3 text response variants","selected variant as final response"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_4","uri":"capability://tool.use.integration.browser.extension.lifecycle.management.and.permissions.handling","name":"browser extension lifecycle management and permissions handling","description":"Manages the Chrome extension's installation, update, and runtime lifecycle, including requesting and handling permissions for DOM access, storage, and API communication. The extension uses Chrome's manifest.json to declare required permissions (content scripts, storage, host permissions for email domains) and implements background scripts to handle API calls and quota management without blocking the UI thread.","intents":["Install the extension and grant it access to my email inbox","Ensure the extension works across Gmail, Outlook Web, and other email clients","Keep the extension updated without manual intervention","Manage what data the extension can access and where it sends requests"],"best_for":["Chrome users who want a lightweight, browser-native email AI tool","IT administrators managing extension deployments across teams","Users concerned about data privacy and wanting to audit extension permissions"],"limitations":["Chrome extension architecture limits DOM access to web-based email only — no native Outlook or Apple Mail support","Permissions are all-or-nothing; users cannot grant granular access (e.g., read-only vs. compose access)","Extension updates require Chrome restart or manual reload; no seamless background updates","Content script injection adds ~100-200ms to page load time on email domains","No cross-browser support (Firefox, Safari, Edge) without separate extension builds"],"requires":["Chrome browser 90+","Manifest V3 compliance (if recently updated from V2)","Host permissions for email domains (gmail.com, outlook.office.com, etc.)","Storage API access for quota and user preferences"],"input_types":["manifest.json configuration","user permission grants via Chrome UI"],"output_types":["extension runtime state","API communication logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_5","uri":"capability://data.processing.analysis.email.thread.context.extraction.via.dom.parsing","name":"email thread context extraction via dom parsing","description":"Extracts email thread context (sender name, email address, subject, message body, previous replies) by parsing the Gmail/Outlook Web DOM using CSS selectors and JavaScript DOM traversal. The extension identifies email elements by their HTML structure, extracts text content, and reconstructs the conversation thread to pass to the LLM. This approach avoids relying on email provider APIs, making it more portable but fragile to UI changes.","intents":["Automatically capture the full email context without manual copying","Include previous replies in the context so the AI understands the conversation history","Extract sender metadata to personalize the response","Ensure the AI has enough context to generate relevant, coherent replies"],"best_for":["Users who want zero-friction context capture without copy-pasting","Teams managing long email threads where context is critical","Developers building email AI tools who want to avoid email API dependencies"],"limitations":["DOM selectors are brittle — Gmail and Outlook Web UI changes break context extraction, requiring extension updates","Context extraction only works on currently visible email thread; archived or deleted emails are inaccessible","Large email threads may exceed LLM context windows, requiring truncation or summarization before passing to the model","Attachments and inline images are not extracted; only text content is captured","Quoted text and forwarded emails may be incorrectly parsed if HTML structure is complex"],"requires":["Chrome content script with DOM access to email domains","CSS selectors matching Gmail/Outlook Web HTML structure","JavaScript DOM traversal logic to reconstruct thread order"],"input_types":["email DOM elements (HTML nodes)"],"output_types":["structured email context object (sender, subject, body, thread history)","plain text thread for LLM input"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_6","uri":"capability://tool.use.integration.response.insertion.into.compose.field.with.formatting.preservation","name":"response insertion into compose field with formatting preservation","description":"Inserts the generated response text into the email compose field while preserving formatting (line breaks, paragraphs) and avoiding conflicts with user edits. The extension uses DOM manipulation to set the compose field's value or contentEditable content, triggers input events to notify the email client of changes, and handles edge cases like partial edits or multi-part compose fields.","intents":["Insert the generated response directly into the compose box without manual copying","Preserve formatting so the response looks professional when sent","Allow users to edit the generated response before sending","Avoid overwriting user edits if they've already started typing"],"best_for":["Users who want a seamless workflow from generation to sending","Teams where response quality is critical and manual review is required","High-volume email senders who want to minimize manual editing"],"limitations":["Inserting text via DOM manipulation may lose formatting if the compose field uses rich text (HTML) mode — plain text insertion may not preserve bold, italics, or links","If user has already typed in the compose field, insertion may overwrite or append unpredictably depending on implementation","Email clients like Gmail may have undo/redo behavior that conflicts with programmatic insertion","Signature blocks and quoted text may interfere with insertion logic, requiring careful DOM targeting"],"requires":["Chrome content script with DOM write access to compose field","Knowledge of email client's compose field HTML structure (textarea vs. contentEditable div)","Event handling to notify email client of changes (input, change events)"],"input_types":["generated response text","compose field DOM element"],"output_types":["updated compose field with inserted text"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_7","uri":"capability://tool.use.integration.api.key.management.and.authentication.for.backend.llm.calls","name":"api key management and authentication for backend llm calls","description":"Manages user API keys (OpenAI, Anthropic, or proprietary LLM provider) securely by storing them in Chrome's encrypted storage (chrome.storage.sync or local) and passing them to backend API calls for LLM inference. The extension may use a proxy backend to avoid exposing keys in the browser, or allow users to provide their own keys for direct API calls. Authentication is likely handled via user account login (email/password or OAuth) to associate keys with user identity.","intents":["Authenticate with the Bestregards backend to access the AI response generation service","Provide my own LLM API key if I want to use my own OpenAI or Anthropic account","Securely store my credentials without exposing them in the browser console","Switch between different LLM providers or accounts without re-entering credentials"],"best_for":["Users who want to use their own LLM API keys for cost control","Teams with centralized API key management and security policies","Developers integrating Bestregards into custom email workflows"],"limitations":["Storing API keys in browser storage (even encrypted) is less secure than server-side key management — keys are vulnerable to XSS attacks or malicious extensions","Chrome's storage.sync may sync keys across devices, increasing exposure surface","No key rotation or expiration mechanism — users must manually update keys if compromised","If using a proxy backend, users must trust Bestregards with their LLM API keys, creating a single point of failure"],"requires":["Chrome storage API (chrome.storage.sync or chrome.storage.local)","User account system with authentication (email/password or OAuth)","Backend API for LLM calls (if using proxy) or direct LLM API access (if using user's own keys)","Encryption library for storing sensitive credentials"],"input_types":["user login credentials (email, password)","LLM API key (optional, if using user's own key)"],"output_types":["authentication token for backend API","stored API key for LLM calls"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_bestregards__cap_8","uri":"capability://automation.workflow.response.quality.feedback.and.user.satisfaction.tracking","name":"response quality feedback and user satisfaction tracking","description":"Collects user feedback on generated responses (thumbs up/down, rating, or text comments) and tracks satisfaction metrics to identify low-quality generations or common failure modes. Feedback is likely stored server-side and used for analytics, model improvement, or debugging. The extension may display feedback UI elements (buttons, modals) after response insertion or in a separate feedback panel.","intents":["Rate the quality of a generated response to help improve the service","Report a response that was inappropriate or off-topic","Provide feedback on tone or style to help the AI learn my preferences","See my feedback history and understand how the tool is improving"],"best_for":["Product teams wanting to understand response quality and user satisfaction","Users who want to contribute to model improvement through feedback","Teams using Bestregards at scale and needing quality metrics"],"limitations":["Feedback collection is optional and likely has low participation rates — most users won't provide feedback unless prompted","Feedback is not used to personalize future responses (no learning mechanism), so users don't see immediate benefit from rating","No mechanism to track which feedback is most valuable or actionable — all feedback is treated equally","Feedback data is not accessible to users; they cannot see how their feedback influenced the service","Privacy concern: feedback may contain sensitive email content if users provide detailed comments"],"requires":["UI elements for feedback submission (buttons, modals, forms)","Backend API endpoint to store feedback","User authentication to associate feedback with user ID","Analytics dashboard to visualize feedback trends (internal only)"],"input_types":["feedback rating (1-5 stars, thumbs up/down)","optional text comment","response ID and context metadata"],"output_types":["feedback submission confirmation","analytics data (aggregated satisfaction metrics)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Chrome browser 90+","Active Gmail, Outlook Web, or compatible web email account","API key for backend LLM provider (OpenAI, Anthropic, or proprietary model)","Active internet connection for API calls","Chrome extension UI with tone selector dropdown or radio buttons","Backend prompt template library (likely 5-10 predefined tone variants)","LLM API that accepts system prompt modifications","User account system with authentication (email/password or OAuth)","Backend API with quota tracking and enforcement logic","Client-side quota state management in extension storage"],"failure_modes":["DOM-based context extraction only works on web-based email interfaces (Gmail, Outlook Web, etc.) — no native Outlook or Apple Mail support due to extension API constraints","Context window limited to visible email thread; cannot access full conversation history if emails are archived or in separate folders","No persistent memory of user writing style or preferences across sessions — each response generated independently without learning from past corrections","Latency of 2-5 seconds per generation due to API round-trip, making real-time typing-as-you-go composition impractical","Tone customization is limited to preset templates — no fine-grained control over specific word choice or phrasing patterns","No learning mechanism to adapt tone based on user corrections or feedback; each generation starts from the same template","Tone presets may not capture nuanced cultural or industry-specific communication norms","Conflicting tone parameters (e.g., 'assertive' + 'empathetic') may produce inconsistent results depending on LLM training","Free tier quota is likely very restrictive (e.g., 5-10 responses/day), making it unsuitable for high-volume users without immediate upgrade","No rollover of unused quota — daily/monthly limits reset regardless of usage patterns","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.714Z","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=bestregards","compare_url":"https://unfragile.ai/compare?artifact=bestregards"}},"signature":"UdQVy4mq8MlL6Q1z7l+Z1iMspsXoin7D0Q/+tU/yx1u8U9Xq7s2WW9uDKuXbeRq6kKBOXbg2Prf2V9JJvGH7DQ==","signedAt":"2026-06-20T21:20:47.550Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/bestregards","artifact":"https://unfragile.ai/bestregards","verify":"https://unfragile.ai/api/v1/verify?slug=bestregards","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"}}