{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_runnr-ai","slug":"runnr-ai","name":"Runnr.ai","type":"product","url":"https://www.runnr.ai","page_url":"https://unfragile.ai/runnr-ai","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_runnr-ai__cap_0","uri":"capability://text.generation.language.hospitality.domain.aware.conversational.ai","name":"hospitality-domain-aware conversational ai","description":"Delivers pre-trained natural language understanding specifically optimized for hospitality guest inquiries (room service, housekeeping, check-in/out, amenities, billing) rather than generic chatbot responses. The system uses domain-specific intent classification and response templates trained on hospitality conversation patterns, enabling accurate handling of context-specific requests without requiring extensive customization by property staff.","intents":["Automatically answer common guest questions about room amenities without manual staff intervention","Route complex requests (maintenance issues, complaints) to appropriate staff departments with context preservation","Reduce staff workload by handling 80%+ of routine inquiries through pre-trained hospitality workflows","Maintain consistent response quality across multiple properties using shared hospitality knowledge base"],"best_for":["Independent hotels and boutique properties with limited 24/7 support staff","Multi-property management companies seeking standardized guest communication","Hospitality groups testing AI automation without building custom NLU models"],"limitations":["Domain specificity means poor performance on non-hospitality queries or edge cases outside training data","Pre-trained responses may require customization for property-specific amenities, policies, or branding","Cannot handle complex multi-turn conversations requiring deep contextual reasoning beyond hospitality scope"],"requires":["Active hospitality property with guest communication needs","Basic property information (amenities, policies, contact procedures) for initial setup","Integration endpoint or webhook capability for routing to staff systems"],"input_types":["text (guest messages in natural language)"],"output_types":["text (chatbot responses)","structured routing data (department assignment, priority level)"],"categories":["text-generation-language","hospitality-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_1","uri":"capability://text.generation.language.multilingual.guest.communication.with.language.detection","name":"multilingual guest communication with language detection","description":"Automatically detects guest message language and responds in the same language without requiring explicit language selection, supporting multiple languages simultaneously across a single chatbot instance. Uses language identification models (likely fastText or similar) to classify incoming text, then routes to language-specific response templates or translation pipelines, enabling properties to serve international guests without hiring multilingual staff.","intents":["Serve international guests in their native language without manual language switching","Eliminate need for separate chatbot instances or staff trained in multiple languages","Reduce friction for non-English speaking guests during critical moments (check-in, emergencies, complaints)","Scale guest support across properties in different regions with single unified system"],"best_for":["Hotels in international tourist destinations or business hubs","Boutique properties with diverse guest demographics","Multi-country hospitality groups seeking unified communication platform"],"limitations":["Freemium tier likely limits number of supported languages (possibly 5-10) vs enterprise tiers with 20+","Language detection accuracy degrades on short messages or code-mixed text (e.g., 'WiFi password?')","Translation quality depends on underlying model — may produce awkward phrasing in less common languages","Cultural nuances in hospitality communication may not translate correctly (e.g., formality levels, politeness conventions)"],"requires":["Guest messages in supported languages (detection works best with 10+ characters)","Language support enabled in property configuration","No special encoding or language tags required from guests"],"input_types":["text (guest messages in any supported language)"],"output_types":["text (responses in detected guest language)","metadata (detected language code, confidence score)"],"categories":["text-generation-language","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_2","uri":"capability://automation.workflow.24.7.automated.guest.inquiry.handling.with.staff.escalation","name":"24/7 automated guest inquiry handling with staff escalation","description":"Operates continuously without human intervention, automatically classifying incoming guest messages by complexity and routing simple inquiries to pre-trained responses while escalating complex issues (complaints, special requests, emergencies) to appropriate staff members with full conversation context. Uses intent confidence thresholds and rule-based routing logic to determine escalation paths, maintaining conversation history for seamless handoff to human agents.","intents":["Handle guest inquiries outside business hours without hiring night staff","Reduce response time for routine questions from hours to seconds","Ensure complex issues reach correct department (front desk, maintenance, management) automatically","Preserve conversation context when escalating to humans to avoid guest frustration from repeating information"],"best_for":["Small-to-mid-size hotels with limited 24/7 staffing","Properties in time zones with off-hours guest communication needs","Boutique hotels wanting to maintain service quality without hiring additional night staff"],"limitations":["Escalation routing depends on accurate staff availability data — may route to offline staff if integration is stale","No built-in persistence for conversation history across system restarts (requires external database integration)","Escalation latency depends on staff notification method (email, SMS, push) — may be 5-30 minutes vs immediate human response","Cannot handle true emergencies (fire, medical) — requires separate emergency hotline integration"],"requires":["Staff contact information and availability schedule in system","Integration with property management system (PMS) or notification service for escalation routing","Defined escalation rules and thresholds for different inquiry types"],"input_types":["text (guest messages)"],"output_types":["text (automated responses)","escalation events (staff notifications with context)","conversation logs (structured data for audit/training)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_3","uri":"capability://text.generation.language.property.specific.customization.and.response.templating","name":"property-specific customization and response templating","description":"Allows properties to customize pre-trained hospitality responses with property-specific information (amenities, policies, contact procedures, branding) through a configuration interface without requiring code changes or model retraining. Uses template substitution and rule-based customization to inject property data into responses while maintaining consistency with hospitality best practices and tone.","intents":["Customize generic hospitality responses with property-specific amenities and policies","Update information (WiFi password, check-in procedures, emergency contacts) without retraining models","Maintain brand voice and tone across all guest communications","Handle property-specific edge cases (pet policies, parking procedures, local attractions) without custom development"],"best_for":["Properties with unique amenities or policies requiring customization","Multi-property groups needing centralized customization management","Boutique hotels with specific brand voice requirements"],"limitations":["Customization depth likely limited on freemium tier — may only allow basic field substitution vs complex conditional logic","No version control or rollback for template changes — incorrect updates could break responses until corrected","Template editor may lack validation — typos or malformed substitutions could produce broken responses","Cannot customize responses for truly unique scenarios outside hospitality domain"],"requires":["Property information (amenities, policies, contact procedures) in structured format","Access to customization interface (web dashboard or API)","Basic understanding of template syntax (likely simple variable substitution like {{property_name}})"],"input_types":["structured data (property configuration, amenities list, policies)","text (custom response templates)"],"output_types":["text (customized responses with property data injected)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_4","uri":"capability://data.processing.analysis.guest.inquiry.analytics.and.conversation.insights","name":"guest inquiry analytics and conversation insights","description":"Aggregates and analyzes guest conversations to identify common inquiry patterns, frequently asked questions, and guest satisfaction signals without requiring manual log review. Generates reports on inquiry types, response effectiveness, escalation rates, and language distribution to help properties optimize staffing and identify gaps in pre-trained responses. Uses basic NLP metrics (intent distribution, response acceptance rates) and statistical aggregation.","intents":["Identify most common guest questions to prioritize staff training or property improvements","Measure chatbot effectiveness by tracking escalation rates and guest satisfaction signals","Understand guest demographics and language preferences to optimize multilingual support","Discover gaps in pre-trained responses where customization or escalation is needed"],"best_for":["Properties seeking data-driven insights into guest communication patterns","Multi-property groups comparing performance across locations","Hospitality managers optimizing staffing and guest experience"],"limitations":["Analytics likely limited on freemium tier — may only show basic metrics vs detailed segmentation","No real-time dashboards — reports may be generated daily or weekly vs live monitoring","Sentiment analysis accuracy depends on underlying model — may misclassify sarcasm or cultural communication styles","Privacy considerations — conversation data must be anonymized and securely stored per hospitality regulations"],"requires":["Sufficient conversation volume to generate meaningful insights (likely 100+ conversations minimum)","Data retention period configured (typically 30-90 days for compliance)"],"input_types":["conversation logs (text messages, metadata)"],"output_types":["analytics reports (intent distribution, escalation rates, language breakdown)","dashboards (visual summaries of key metrics)","recommendations (suggested improvements based on patterns)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_5","uri":"capability://tool.use.integration.integration.with.property.management.systems.pms.and.staff.notification","name":"integration with property management systems (pms) and staff notification","description":"Connects to property management systems (PMS) via webhooks or APIs to access real-time property data (occupancy, guest profiles, maintenance status) and trigger staff notifications (SMS, email, push) when escalation is needed. Enables context-aware responses (e.g., 'Your room will be ready at 3 PM') and ensures escalated issues reach appropriate staff immediately rather than sitting in a queue.","intents":["Provide context-aware responses using real-time PMS data (guest name, room number, check-in status)","Automatically notify staff of escalated issues without manual ticket creation","Reduce escalation resolution time by routing to available staff immediately","Prevent duplicate requests by checking PMS for pending maintenance or housekeeping tasks"],"best_for":["Properties using modern PMS systems with API access (e.g., Opera, Folio, Mews)","Hotels seeking seamless integration between guest communication and operations","Multi-property groups with centralized PMS infrastructure"],"limitations":["Integration complexity depends on PMS API quality — older systems may lack necessary endpoints","Data synchronization latency — PMS data may be 5-15 minutes stale, causing outdated responses","Freemium tier likely supports only 1-2 PMS integrations vs enterprise tiers with broader support","Staff notification delivery depends on external services (SMS, email) — may fail silently if credentials are invalid","No built-in conflict resolution if PMS data contradicts chatbot knowledge (e.g., room status mismatch)"],"requires":["PMS system with API access and documented endpoints","API credentials (key, token, or OAuth) for PMS authentication","Staff contact information (phone, email) in PMS or separate contact database","Notification service integration (Twilio for SMS, SendGrid for email, or native PMS notifications)"],"input_types":["API calls to PMS (guest data, room status, maintenance logs)","guest messages (triggering PMS lookups)"],"output_types":["context-aware responses (with PMS data injected)","staff notifications (SMS, email, push with escalation details)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_6","uri":"capability://memory.knowledge.conversation.context.preservation.and.multi.turn.dialogue","name":"conversation context preservation and multi-turn dialogue","description":"Maintains conversation history across multiple guest messages, enabling the chatbot to understand references to previous messages ('Can you repeat that?', 'What about the WiFi?') and provide coherent multi-turn responses without losing context. Uses conversation state management to track guest intent across turns and avoid repetitive responses, improving perceived intelligence and guest satisfaction.","intents":["Handle follow-up questions that reference previous messages without requiring guests to repeat context","Maintain conversation state across multiple turns to provide coherent, contextual responses","Avoid repetitive responses when guests ask clarifying questions","Enable natural dialogue flow that feels less robotic than single-turn Q&A"],"best_for":["Properties seeking more natural, conversational guest interactions","Hotels with complex inquiries requiring multi-turn dialogue (e.g., special requests, troubleshooting)","Boutique properties where guest experience quality is a competitive advantage"],"limitations":["Context window size likely limited on freemium tier — may only preserve last 5-10 messages vs full conversation history","No persistent context across sessions — if guest returns after 24 hours, conversation history is lost","Context management adds latency (~50-200ms per turn) due to history retrieval and processing","Long conversations may exceed token limits if using LLM-based context management, requiring truncation"],"requires":["Conversation session identifier (guest ID, session token) to track context","External storage (database) for conversation history if persistence is needed","Sufficient API rate limits to handle context retrieval on every turn"],"input_types":["text (guest messages in sequence)"],"output_types":["text (context-aware responses)","conversation state (tracked context for next turn)"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_runnr-ai__cap_7","uri":"capability://automation.workflow.freemium.tiered.access.with.usage.based.limits","name":"freemium tiered access with usage-based limits","description":"Offers free tier with limited conversation volume, languages, and customization depth to enable small properties to test the platform, with paid tiers unlocking higher limits and advanced features. Implements usage tracking and quota enforcement to manage free tier costs while providing clear upgrade paths for growing properties. Likely uses API rate limiting and feature flags to enforce tier restrictions.","intents":["Allow small hotels to test AI guest engagement without upfront investment","Reduce barrier to entry for boutique properties exploring chatbot automation","Provide clear upgrade path as properties grow and need more capacity","Manage platform costs by limiting free tier usage to sustainable levels"],"best_for":["Independent hotels and small boutique properties with limited budgets","Hospitality groups testing AI automation before full rollout","Properties seeking low-risk experimentation with guest communication AI"],"limitations":["Free tier likely includes significant restrictions: 100-500 conversations/month, 2-5 languages, basic customization only","Freemium model creates upgrade pressure — properties may hit limits quickly and face forced migration to paid plans","No SLA or priority support on free tier — response to issues may be slow","Free tier data may be used for model improvement (common in freemium products) — privacy-sensitive properties should verify","Conversion funnel may be optimized for upselling rather than genuine free tier utility"],"requires":["Email address and property information for account creation","No credit card required for free tier (typical freemium model)"],"input_types":["property configuration data"],"output_types":["access credentials (API key, dashboard login)","usage metrics (conversations used, quota remaining)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Active hospitality property with guest communication needs","Basic property information (amenities, policies, contact procedures) for initial setup","Integration endpoint or webhook capability for routing to staff systems","Guest messages in supported languages (detection works best with 10+ characters)","Language support enabled in property configuration","No special encoding or language tags required from guests","Staff contact information and availability schedule in system","Integration with property management system (PMS) or notification service for escalation routing","Defined escalation rules and thresholds for different inquiry types","Property information (amenities, policies, contact procedures) in structured format"],"failure_modes":["Domain specificity means poor performance on non-hospitality queries or edge cases outside training data","Pre-trained responses may require customization for property-specific amenities, policies, or branding","Cannot handle complex multi-turn conversations requiring deep contextual reasoning beyond hospitality scope","Freemium tier likely limits number of supported languages (possibly 5-10) vs enterprise tiers with 20+","Language detection accuracy degrades on short messages or code-mixed text (e.g., 'WiFi password?')","Translation quality depends on underlying model — may produce awkward phrasing in less common languages","Cultural nuances in hospitality communication may not translate correctly (e.g., formality levels, politeness conventions)","Escalation routing depends on accurate staff availability data — may route to offline staff if integration is stale","No built-in persistence for conversation history across system restarts (requires external database integration)","Escalation latency depends on staff notification method (email, SMS, push) — may be 5-30 minutes vs immediate human response","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":"2026-05-24T12:16:33.095Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=runnr-ai","compare_url":"https://unfragile.ai/compare?artifact=runnr-ai"}},"signature":"hHcAeCGn6a4A1UBrRvHydaizg3Hseu/Cgf1zYXRb8H5hkb198nQC6f4a6rYmuYq6C/qOaFK+8MEwk1SqcCKHAg==","signedAt":"2026-06-22T00:14:29.035Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/runnr-ai","artifact":"https://unfragile.ai/runnr-ai","verify":"https://unfragile.ai/api/v1/verify?slug=runnr-ai","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"}}