AI agents are callable inside Claude, ChatGPT, and Cursor via each platform's native tool/action interface and can execute at least workflows end-to-end.
Evidence of a working, documented integration: official listing/docs + runnable setup + a successful end-to-end workflow in the target surface (no "theoretical support").
Cursor editor extension or MCP that triggers the agent
Slack and Discord
Native bot integrations that let agents run tasks, respond, and interact within team chats (not just webhooks).
Must include native bot apps with rich, interactive features (slash commands, buttons, threads). One or more workflows must run fully inside Slack/Discord with proper auth and error handling.
Slack bot app with /command support
Interactive messages and channel triggers
Discord bot that responds to slash commands
Zendesk, Salesforce, and any Support Platform
Direct integrations with major CRM and customer service platforms for seamless workflow integration.
Must provide native integrations with ticket creation, customer data access, or workflow automation. Should be more than just API connections.
Zendesk ticket integration
Salesforce case management
CRM data synchronization
Workflow automation
Product Expert Chat Bubble ("Ask AI")
Dedicated conversational AI Agent for customer support that knows everything about the product and company that can search, cite, and handoff questions to other support questions when needed.
Must be able to be based on indexed data in a company's internal and external docs. Must be fully configurable for control and customization.
Inkeep Ask AI support feature
Answers with Inline Citations
Responses that include specific references to source documents with clickable links or clear attribution.
Must provide traceable sources for generated content. Look for clickable links, document references, or clear source attribution in responses.
Footnote-style citations
Inline source links
"According to [document]" attributions
Source confidence scores
Guardrails
Safety mechanisms that prevent inappropriate responses and confidence thresholds that trigger human escalation.
Must include content filtering, response confidence scoring, and automatic escalation when confidence is low. Should show safety mechanisms in action.
Advanced search capabilities that understand context and meaning, not just keyword matching.
Must demonstrate semantic search capabilities across enterprise data sources with relevance ranking and context understanding.
Natural language search interfaces
Semantic relevance scoring
Cross-platform search capabilities
Search analytics
Claude, ChatGPT, and Cursor
AI agents are callable inside Claude, ChatGPT, and Cursor via each platform's native tool/action interface and can execute at least workflows end-to-end.
Evaluation Criteria
Evidence of a working, documented integration: official listing/docs + runnable setup + a successful end-to-end workflow in the target surface (no "theoretical support").
Cursor editor extension or MCP that triggers the agent
Slack and Discord
Native bot integrations that let agents run tasks, respond, and interact within team chats (not just webhooks).
Evaluation Criteria
Must include native bot apps with rich, interactive features (slash commands, buttons, threads). One or more workflows must run fully inside Slack/Discord with proper auth and error handling.
Examples
Slack bot app with /command support
Interactive messages and channel triggers
Discord bot that responds to slash commands
Zendesk, Salesforce, and any Support Platform
Direct integrations with major CRM and customer service platforms for seamless workflow integration.
Evaluation Criteria
Must provide native integrations with ticket creation, customer data access, or workflow automation. Should be more than just API connections.
Examples
Zendesk ticket integration
Salesforce case management
CRM data synchronization
Workflow automation
Product Expert Chat Bubble ("Ask AI")
Dedicated conversational AI Agent for customer support that knows everything about the product and company that can search, cite, and handoff questions to other support questions when needed.
Evaluation Criteria
Must be able to be based on indexed data in a company's internal and external docs. Must be fully configurable for control and customization.
Examples
Inkeep Ask AI support feature
Answers with Inline Citations
Responses that include specific references to source documents with clickable links or clear attribution.
Evaluation Criteria
Must provide traceable sources for generated content. Look for clickable links, document references, or clear source attribution in responses.
Examples
Footnote-style citations
Inline source links
"According to [document]" attributions
Source confidence scores
Guardrails
Safety mechanisms that prevent inappropriate responses and confidence thresholds that trigger human escalation.
Evaluation Criteria
Must include content filtering, response confidence scoring, and automatic escalation when confidence is low. Should show safety mechanisms in action.
