{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_boost-ai","slug":"boost-ai","name":"Boost.ai","type":"product","url":"https://boost.ai","page_url":"https://unfragile.ai/boost-ai","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_boost-ai__cap_0","uri":"capability://customer.service.multi.channel.conversational.ai.routing","name":"multi-channel conversational ai routing","description":"Routes customer inquiries across multiple communication channels (web chat, messaging apps, social media, email) through a unified AI conversational interface. Maintains conversation context and intent understanding regardless of which channel the customer uses.","intents":["I want customers to reach us on their preferred channel without losing context","I need to consolidate customer conversations from multiple platforms into one system","I want to provide consistent AI responses across all our communication channels"],"best_for":["mid-market enterprises","large customer service teams","omnichannel retailers"],"limitations":["requires integration setup for each channel","conversation history only preserved within Boost.ai system"],"requires":["API access to customer communication channels","channel-specific authentication credentials"],"input_types":["text messages","chat inputs","email content","social media messages"],"output_types":["text responses","formatted messages for each channel"],"categories":["customer service","conversational AI"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_1","uri":"capability://nlp.intent.recognition.and.classification","name":"intent recognition and classification","description":"Analyzes customer messages to identify underlying intent with high accuracy, reducing false positives that lead to incorrect routing or frustration. Uses contextual understanding to distinguish between similar requests and handle ambiguous queries.","intents":["I want to automatically categorize customer requests without manual tagging","I need to reduce chatbot misunderstandings that frustrate customers","I want the bot to understand nuanced customer needs, not just keyword matching"],"best_for":["enterprises with complex service offerings","organizations with high conversation volume","teams needing high accuracy"],"limitations":["requires training data or examples for custom intents","accuracy depends on conversation clarity"],"requires":["customer conversation history or training examples","intent taxonomy definition"],"input_types":["natural language text","customer messages"],"output_types":["intent classification","confidence scores","routing decisions"],"categories":["NLP","customer service","conversational AI"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_10","uri":"capability://customization.custom.bot.personality.and.tone.configuration","name":"custom bot personality and tone configuration","description":"Allows configuration of chatbot personality, tone, and communication style to match brand voice. Enables enterprises to customize responses to reflect company values and customer expectations without code changes.","intents":["I want the chatbot to sound like our brand, not generic","I need to adjust tone from formal to casual based on our customer base","I want consistency in how the bot represents our company"],"best_for":["brand-conscious enterprises","customer service teams managing brand voice","organizations with specific communication standards"],"limitations":["requires clear brand guidelines","personality configuration is limited to predefined options"],"requires":["brand voice guidelines","tone and style preferences"],"input_types":["brand guidelines","tone preferences","communication examples"],"output_types":["customized bot responses","branded communication"],"categories":["customization","branding"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_11","uri":"capability://customer.engagement.proactive.customer.engagement.and.notifications","name":"proactive customer engagement and notifications","description":"Initiates conversations with customers based on triggers (abandoned carts, order status changes, service issues) to provide proactive support. Sends timely notifications and offers assistance before customers need to reach out.","intents":["I want to reach out to customers with order updates automatically","I need to offer help when customers abandon their cart","I want to prevent issues by proactively contacting customers"],"best_for":["e-commerce businesses","enterprises with transactional interactions","customer service teams focused on retention"],"limitations":["requires integration with business systems for trigger data","timing and frequency must be carefully tuned to avoid annoyance"],"requires":["event/trigger data from business systems","customer contact information","notification preferences"],"input_types":["business events","customer data","trigger rules"],"output_types":["proactive messages","notifications","engagement offers"],"categories":["customer engagement","marketing automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_12","uri":"capability://customer.service.conversation.sentiment.analysis.and.escalation","name":"conversation sentiment analysis and escalation","description":"Analyzes conversation sentiment in real-time to detect frustrated or angry customers and automatically escalate to human agents when needed. Prevents negative experiences from worsening by routing emotional conversations to appropriate handlers.","intents":["I want to detect when a customer is frustrated and escalate immediately","I need to prevent angry customers from having worse experiences with a bot","I want to identify high-risk conversations that need human attention"],"best_for":["customer service teams prioritizing satisfaction","enterprises with high-touch service models","organizations managing reputation"],"limitations":["sentiment detection may miss sarcasm or cultural context","escalation depends on agent availability"],"requires":["sentiment analysis models","escalation routing rules","agent queue management"],"input_types":["conversation text","customer messages"],"output_types":["sentiment scores","escalation triggers","agent routing decisions"],"categories":["customer service","sentiment analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_13","uri":"capability://knowledge.management.knowledge.base.integration.and.retrieval","name":"knowledge base integration and retrieval","description":"Connects to enterprise knowledge bases, FAQs, and documentation to retrieve accurate information for customer questions. Ensures bot responses are grounded in official company information rather than generating potentially incorrect answers.","intents":["I want the bot to answer questions using our official documentation","I need the bot to stay current when we update our knowledge base","I want to reduce hallucinations by grounding responses in real information"],"best_for":["enterprises with extensive documentation","organizations with frequently updated information","customer service teams needing accuracy"],"limitations":["requires well-organized knowledge base","bot can only answer questions covered in knowledge base","knowledge base must be kept current"],"requires":["knowledge base system","documentation in searchable format","knowledge base API or integration"],"input_types":["customer questions","knowledge base queries"],"output_types":["relevant documentation excerpts","sourced answers","reference links"],"categories":["knowledge management","customer service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_2","uri":"capability://customer.service.context.preserving.human.handoff","name":"context-preserving human handoff","description":"Seamlessly transfers conversations from AI to human agents while preserving full conversation history, customer context, and identified intent. Eliminates the need for customers to re-explain their issue to a human agent.","intents":["I want customers to hand off to agents without repeating themselves","I need agents to see the full conversation history and what the bot already tried","I want to reduce handle time by giving agents complete context upfront"],"best_for":["customer service teams with human agents","enterprises needing escalation paths","high-touch service organizations"],"limitations":["requires integration with helpdesk/ticketing system","agent availability affects handoff speed"],"requires":["helpdesk or CRM system integration","agent queue management system"],"input_types":["conversation transcript","customer data","intent classification"],"output_types":["formatted ticket","agent-ready conversation summary","customer context data"],"categories":["customer service","workflow automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_3","uri":"capability://integration.crm.and.helpdesk.platform.integration","name":"crm and helpdesk platform integration","description":"Connects directly with major enterprise platforms (Salesforce, Zendesk, Microsoft Dynamics) to access customer data, create tickets, and update records without custom coding. Enables the AI to reference customer history and automatically log interactions.","intents":["I want the chatbot to access our existing customer data in Salesforce/Zendesk","I need conversations automatically logged as tickets in our helpdesk","I want to avoid building custom integrations for our existing tools"],"best_for":["enterprises using major CRM platforms","organizations with existing helpdesk systems","teams wanting plug-and-play integration"],"limitations":["limited to supported platforms","requires API credentials and permissions","data sync may have latency"],"requires":["active CRM or helpdesk account","API access credentials","appropriate user permissions"],"input_types":["customer ID","conversation data","interaction metadata"],"output_types":["customer records","ticket creation","interaction logs","customer history"],"categories":["integration","customer service","enterprise tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_4","uri":"capability://machine.learning.continuous.learning.from.agent.interactions","name":"continuous learning from agent interactions","description":"Analyzes conversations handled by human agents to identify patterns, improve bot responses, and refine intent recognition. Learns from corrections and successful resolutions to enhance future AI performance without manual retraining.","intents":["I want the bot to improve over time by learning from what agents do","I need to identify gaps in bot knowledge based on escalated conversations","I want to reduce escalations by teaching the bot how agents solve problems"],"best_for":["organizations with mature customer service operations","teams with consistent agent handling patterns","enterprises seeking continuous improvement"],"limitations":["requires sufficient conversation volume to identify patterns","learning is gradual and may take weeks to show impact"],"requires":["agent conversation data","feedback mechanisms","performance monitoring"],"input_types":["agent-handled conversations","resolution outcomes","customer satisfaction feedback"],"output_types":["improved intent models","bot response refinements","performance metrics"],"categories":["machine learning","customer service","continuous improvement"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_5","uri":"capability://workflow.automation.complex.workflow.automation","name":"complex workflow automation","description":"Automates multi-step customer service workflows including information gathering, validation, processing, and status updates. Handles sequences of questions and conditional logic to guide customers through complex processes.","intents":["I want to automate order tracking without human intervention","I need the bot to collect required information and validate it before processing","I want to guide customers through complex procedures step-by-step"],"best_for":["enterprises with standardized processes","organizations with high-volume repetitive tasks","customer service teams handling complex workflows"],"limitations":["requires clear process definition","struggles with highly variable or unstructured requests"],"requires":["process documentation","backend system integration","data validation rules"],"input_types":["customer requests","form data","system queries"],"output_types":["process completion status","confirmation messages","backend updates"],"categories":["workflow automation","customer service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_6","uri":"capability://analytics.conversation.quality.monitoring.and.analytics","name":"conversation quality monitoring and analytics","description":"Tracks and analyzes chatbot performance metrics including resolution rates, escalation rates, customer satisfaction, and conversation quality. Provides dashboards and reports to identify improvement areas and measure business impact.","intents":["I want to measure how well the chatbot is performing","I need to identify which types of conversations are failing","I want to prove ROI and justify continued investment in the chatbot"],"best_for":["customer service managers","business stakeholders","teams needing performance visibility"],"limitations":["metrics depend on proper integration and logging","requires baseline data for meaningful comparison"],"requires":["conversation logging","customer feedback collection","integration with analytics tools"],"input_types":["conversation data","customer feedback","resolution outcomes"],"output_types":["performance dashboards","analytics reports","trend analysis","KPI metrics"],"categories":["analytics","customer service","reporting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_7","uri":"capability://security.enterprise.grade.security.and.compliance","name":"enterprise-grade security and compliance","description":"Provides security features including data encryption, access controls, audit logging, and compliance with regulations (GDPR, CCPA, etc.). Ensures customer data is protected and conversations meet enterprise security standards.","intents":["I need to ensure customer data is encrypted and secure","I want to comply with data protection regulations","I need audit trails for all customer interactions"],"best_for":["regulated industries","enterprises handling sensitive data","organizations with strict compliance requirements"],"limitations":["compliance requirements vary by region and industry","may require additional configuration"],"requires":["compliance policy definition","security infrastructure","audit logging systems"],"input_types":["customer data","conversation content","access requests"],"output_types":["encrypted data storage","audit logs","compliance reports"],"categories":["security","compliance","enterprise"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_8","uri":"capability://nlp.natural.language.understanding.with.context","name":"natural language understanding with context","description":"Understands customer messages with contextual awareness, handling ambiguity, pronouns, and references to previous conversation points. Maintains conversation state to provide coherent multi-turn interactions rather than treating each message independently.","intents":["I want the bot to understand 'it' refers to the product we discussed earlier","I need the bot to handle follow-up questions that reference previous context","I want natural conversations, not robotic question-answer exchanges"],"best_for":["organizations prioritizing conversation quality","customer service teams handling complex inquiries","enterprises wanting human-like interactions"],"limitations":["context window is limited to conversation history","very long conversations may lose early context"],"requires":["conversation history storage","NLP models trained on domain data"],"input_types":["natural language text","conversation history"],"output_types":["contextual understanding","relevant responses","conversation state"],"categories":["NLP","conversational AI"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_boost-ai__cap_9","uri":"capability://localization.multi.language.conversation.support","name":"multi-language conversation support","description":"Handles customer conversations in multiple languages with automatic language detection and translation. Enables global enterprises to serve customers in their preferred language without separate bot instances.","intents":["I want to serve customers in different languages without building separate bots","I need automatic language detection so customers don't have to select their language","I want to expand to international markets without duplicating chatbot setup"],"best_for":["global enterprises","organizations with multilingual customer bases","companies expanding internationally"],"limitations":["translation quality varies by language pair","some languages may have limited support","cultural nuances may be lost in translation"],"requires":["language models for supported languages","translation service integration"],"input_types":["text in multiple languages"],"output_types":["translated responses","language-appropriate formatting"],"categories":["localization","conversational AI"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["API access to customer communication channels","channel-specific authentication credentials","customer conversation history or training examples","intent taxonomy definition","brand voice guidelines","tone and style preferences","event/trigger data from business systems","customer contact information","notification preferences","sentiment analysis models"],"failure_modes":["requires integration setup for each channel","conversation history only preserved within Boost.ai system","requires training data or examples for custom intents","accuracy depends on conversation clarity","requires clear brand guidelines","personality configuration is limited to predefined options","requires integration with business systems for trigger data","timing and frequency must be carefully tuned to avoid annoyance","sentiment detection may miss sarcasm or cultural context","escalation depends on agent availability","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.45,"quality":0.88,"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":"2026-05-24T12:16:29.715Z","last_scraped_at":"2026-04-05T13:23:42.535Z","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=boost-ai","compare_url":"https://unfragile.ai/compare?artifact=boost-ai"}},"signature":"8oSBGXJQmpyvD6fWMJ8yCxn/cjV6o+n+QcBXt9aU5D4QfciBgXdhQRnIIcw5oftA0fU9MUBS3q50fs/aIEbVBg==","signedAt":"2026-06-21T07:49:56.834Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/boost-ai","artifact":"https://unfragile.ai/boost-ai","verify":"https://unfragile.ai/api/v1/verify?slug=boost-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"}}