{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_chatsuggest","slug":"chatsuggest","name":"ChatSuggest","type":"product","url":"https://chatsuggest.com","page_url":"https://unfragile.ai/chatsuggest","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_chatsuggest__cap_0","uri":"capability://text.generation.language.context.aware.response.suggestion.generation","name":"context-aware response suggestion generation","description":"Analyzes the full conversation history and current message context to generate contextually relevant response suggestions using transformer-based language models. The system ingests prior messages, participant roles, and conversation tone to produce suggestions that maintain continuity and relevance without requiring manual context injection. Suggestions are ranked by relevance score and presented as draft options for user selection or modification.","intents":["I want AI to suggest responses that actually understand what was said before, not generic templates","I need to reduce time spent drafting replies while keeping my personal voice intact","I want suggestions that match the conversation's tone and relationship dynamic"],"best_for":["Sales professionals handling multiple concurrent conversations who need fast, contextually appropriate replies","Customer support representatives managing high-volume tickets with repetitive but context-dependent issues","Solo entrepreneurs managing sales and support without dedicated team resources"],"limitations":["Suggestion quality degrades in niche or highly specialized domains where training data is sparse","No transparent mechanism disclosed for handling sensitive customer data within context window","Suggestions may reflect training data biases and generic patterns rather than company-specific communication style","Context window size not publicly specified — unclear how much conversation history influences suggestions"],"requires":["Active account on supported chat platform (specific platforms not detailed in public documentation)","Browser with modern JavaScript support for in-chat suggestion UI rendering","Internet connectivity for real-time API calls to suggestion generation backend"],"input_types":["conversation history (text messages)","current message/prompt (text)","participant metadata (role, name, optional)"],"output_types":["ranked suggestion list (text)","relevance scores (numeric)","optional metadata (tone classification, suggestion category)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatsuggest__cap_1","uri":"capability://memory.knowledge.multi.turn.conversation.memory.and.context.indexing","name":"multi-turn conversation memory and context indexing","description":"Maintains indexed access to conversation history within a session, enabling the suggestion engine to retrieve relevant prior messages and participant context without re-processing the entire conversation thread on each suggestion request. Uses sliding-window or hierarchical summarization to manage context within model token limits while preserving semantic relevance of earlier messages.","intents":["I want suggestions that remember what was discussed 10 messages ago without losing that context","I need the system to understand participant roles and relationship history to suggest appropriate tone","I want suggestions that reference prior commitments or agreements made earlier in the conversation"],"best_for":["Long-running sales conversations spanning multiple days or weeks","Support tickets with complex issue history requiring context from previous interactions","Teams managing ongoing client relationships where historical context affects response appropriateness"],"limitations":["Context retention strategy not publicly documented — unclear if summaries are lossy or preserve full semantic content","No disclosed mechanism for cross-conversation context (e.g., linking to prior tickets with same customer)","Token budget constraints may cause older messages to be deprioritized or dropped from context window","No explicit handling of context refresh or invalidation when conversation participants change"],"requires":["Active chat session with message history available in platform","Backend session state management (duration and limits not specified)"],"input_types":["conversation message stream (text with timestamps)","participant metadata (roles, names)","optional conversation metadata (topic, customer ID)"],"output_types":["indexed context representation (internal)","relevance-ranked message excerpts (for debugging/transparency)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatsuggest__cap_2","uri":"capability://text.generation.language.real.time.suggestion.ranking.and.relevance.scoring","name":"real-time suggestion ranking and relevance scoring","description":"Generates multiple candidate responses and ranks them by relevance using a learned scoring function that considers semantic similarity to conversation context, conversation tone alignment, and suggestion diversity. Presents top-N suggestions (typically 3-5) ordered by relevance score, with lower-ranked suggestions available on demand. Scoring mechanism not publicly detailed but likely combines embedding-based similarity with learned ranking models.","intents":["I want the most relevant suggestion shown first without having to read through irrelevant options","I need suggestions that match the conversation's tone and formality level","I want diverse suggestions so I can choose between different response approaches"],"best_for":["High-volume support teams where suggestion quality directly impacts response time","Sales teams where tone-appropriate responses affect deal progression and relationship quality","Users with limited patience for scrolling through many low-quality suggestions"],"limitations":["Ranking algorithm not transparent — unclear how tone, relevance, and diversity are weighted","No disclosed mechanism for user feedback to improve ranking over time","Suggestion diversity not explicitly controlled — may show similar variations rather than genuinely different approaches","Ranking latency not specified — unclear if real-time scoring adds perceptible delay to suggestion delivery"],"requires":["Sufficient computational resources for multi-candidate generation and ranking (backend-dependent)","Training data for relevance scoring model (quality and domain coverage not disclosed)"],"input_types":["conversation context (text)","current message/prompt (text)","optional user preferences (tone, formality level)"],"output_types":["ranked suggestion list with scores (text + numeric)","suggestion metadata (tone classification, category)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatsuggest__cap_3","uri":"capability://tool.use.integration.chat.platform.native.integration.and.ui.embedding","name":"chat platform native integration and ui embedding","description":"Embeds suggestion UI directly into the message composition area of supported chat platforms (implementation details not disclosed) using platform-specific APIs or browser extension injection. Suggestions appear inline or in a sidebar without requiring users to switch tools or copy context to external applications. Integration likely uses platform webhooks or message event listeners to trigger suggestion generation on user input.","intents":["I want suggestions to appear right where I'm typing without switching to another tool","I need suggestions to work seamlessly with my existing chat workflow","I want to accept or modify suggestions without leaving the chat interface"],"best_for":["Teams already committed to specific chat platforms (Slack, Teams, etc.) who want to avoid tool fragmentation","Organizations with strict tool-switching policies or limited third-party integrations","Users who value workflow continuity and minimal context-switching overhead"],"limitations":["Supported chat platforms not publicly detailed — unclear which platforms are covered","Integration method not disclosed — unclear if browser extension, native API, or webhook-based","No information on permission model or data access scope for each platform","UI customization depth unknown — unclear if suggestions can be styled to match company branding","Platform API changes may break integration without user control"],"requires":["Account on supported chat platform (specific platforms not listed)","Browser extension permissions (if extension-based) or platform OAuth integration","Active internet connection for real-time suggestion delivery"],"input_types":["user typing events (text input)","message composition state (draft text)"],"output_types":["rendered suggestion UI (HTML/CSS)","suggestion selection events (user interaction)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatsuggest__cap_4","uri":"capability://automation.workflow.freemium.usage.tier.with.quota.based.suggestion.limits","name":"freemium usage tier with quota-based suggestion limits","description":"Implements a freemium pricing model where free tier users receive a limited number of suggestions per day or month (specific quotas not disclosed), with paid tiers offering higher limits or unlimited suggestions. Quota tracking happens server-side with per-user or per-organization accounting. Free tier enables low-risk evaluation of suggestion quality before financial commitment.","intents":["I want to test if this tool actually helps my team before paying for it","I need a way to try AI-assisted chat without upfront investment","I want to see if the suggestions match our communication style before rolling out to the team"],"best_for":["Small sales teams and solo entrepreneurs with limited budgets for new tools","Organizations evaluating multiple AI-assisted chat solutions","Teams wanting to pilot the tool with a subset of users before full deployment"],"limitations":["Free tier quota not publicly specified — unclear how many suggestions are available daily/monthly","Quota reset schedule not disclosed — unclear if daily, weekly, or monthly limits apply","No information on quota sharing across team members or per-user allocation","Upgrade path and pricing tiers not detailed in public documentation","Free tier may have feature restrictions beyond quota (e.g., no custom tone profiles)"],"requires":["Account creation on ChatSuggest platform","Active subscription or free tier eligibility (criteria not specified)"],"input_types":["user account metadata (tier, usage history)"],"output_types":["quota status (remaining suggestions)","upgrade prompts (when quota exhausted)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatsuggest__cap_5","uri":"capability://automation.workflow.suggestion.acceptance.and.draft.modification.workflow","name":"suggestion acceptance and draft modification workflow","description":"Enables users to accept, reject, or modify suggested responses with a single click or keyboard shortcut, integrating the accepted suggestion into the message composition field for further editing before sending. Modification workflow preserves the suggestion as a starting point while allowing full customization. Likely tracks acceptance rates and user modifications to inform ranking algorithm improvements.","intents":["I want to quickly accept a suggestion and send it without retyping","I want to use a suggestion as a starting point and customize it for my specific situation","I want to reject suggestions that don't fit and see alternatives"],"best_for":["Users who want to balance speed with personalization","Teams where suggestions are starting points rather than final responses","Support teams handling similar issues where suggestions need minor customization"],"limitations":["Modification tracking not disclosed — unclear if system learns from user edits to improve suggestions","No information on alternative suggestion retrieval — unclear if users can request more options after rejecting suggestions","Undo/revert functionality not specified — unclear if users can restore original message after accepting suggestion","No disclosed analytics on acceptance rates or modification patterns"],"requires":["Active suggestion UI in chat platform","User interaction capability (click, keyboard input)"],"input_types":["user action (accept, reject, modify)","modified suggestion text (if customized)"],"output_types":["updated message composition field (text)","action telemetry (for analytics)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatsuggest__cap_6","uri":"capability://text.generation.language.conversation.tone.and.style.inference","name":"conversation tone and style inference","description":"Analyzes conversation history to infer the established tone, formality level, and communication style between participants, then uses these inferred attributes to guide suggestion generation and ranking. Inference likely uses linguistic features (sentence length, punctuation, vocabulary complexity) and conversation patterns to classify tone (formal, casual, friendly, professional, etc.). Inferred tone is applied as a constraint or weighting signal in the suggestion generation process.","intents":["I want suggestions that match the tone I've been using with this customer","I need the system to understand if this is a formal business relationship or a casual one","I want suggestions that won't sound out of place in the conversation"],"best_for":["Sales professionals managing relationships with different customer personalities and communication styles","Support teams handling both formal enterprise clients and casual consumer customers","Organizations where tone consistency affects customer perception and relationship quality"],"limitations":["Tone inference algorithm not disclosed — unclear how accurately it classifies conversation style","No mechanism disclosed for users to explicitly set or override inferred tone","Tone classification may be biased by training data (e.g., over-representing formal business communication)","Cross-cultural communication nuances likely not handled — inference may fail for non-English or culturally-specific communication styles","Tone changes within a conversation may not be detected or may cause suggestion inconsistency"],"requires":["Sufficient conversation history to infer tone (minimum message count not specified)","Training data covering diverse communication styles and tones"],"input_types":["conversation history (text messages)","participant metadata (optional)"],"output_types":["inferred tone classification (categorical or continuous)","tone-weighted suggestion ranking (internal)"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Active account on supported chat platform (specific platforms not detailed in public documentation)","Browser with modern JavaScript support for in-chat suggestion UI rendering","Internet connectivity for real-time API calls to suggestion generation backend","Active chat session with message history available in platform","Backend session state management (duration and limits not specified)","Sufficient computational resources for multi-candidate generation and ranking (backend-dependent)","Training data for relevance scoring model (quality and domain coverage not disclosed)","Account on supported chat platform (specific platforms not listed)","Browser extension permissions (if extension-based) or platform OAuth integration","Active internet connection for real-time suggestion delivery"],"failure_modes":["Suggestion quality degrades in niche or highly specialized domains where training data is sparse","No transparent mechanism disclosed for handling sensitive customer data within context window","Suggestions may reflect training data biases and generic patterns rather than company-specific communication style","Context window size not publicly specified — unclear how much conversation history influences suggestions","Context retention strategy not publicly documented — unclear if summaries are lossy or preserve full semantic content","No disclosed mechanism for cross-conversation context (e.g., linking to prior tickets with same customer)","Token budget constraints may cause older messages to be deprioritized or dropped from context window","No explicit handling of context refresh or invalidation when conversation participants change","Ranking algorithm not transparent — unclear how tone, relevance, and diversity are weighted","No disclosed mechanism for user feedback to improve ranking over time","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"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":"2026-05-24T12:16:29.716Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=chatsuggest","compare_url":"https://unfragile.ai/compare?artifact=chatsuggest"}},"signature":"a6BKXzR8WnlwgGnn/PmwkXBeneHcmO2qjnRAJuhypSWrVuh/bVdxrw5BEiH3PmPCCnVZqTFBeBoJzNxy6Uq4CA==","signedAt":"2026-06-20T21:19:10.453Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chatsuggest","artifact":"https://unfragile.ai/chatsuggest","verify":"https://unfragile.ai/api/v1/verify?slug=chatsuggest","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"}}