> For the complete documentation index, see [llms.txt](https://docs.billybets.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.billybets.ai/next-gen-influencer/core-interaction-capabilities.md). # Core Interaction Capabilities Users can interact directly with Billy Bets across a myriad of channels allowing for users to get personalized answers to their sports betting questions and offer timely and relevant insights to the public at large. This is achieved through key interaction capabilities including: ## Active Listening & Response * Continuously monitors mentions, tags, and relevant conversations across platforms * Processes and understands conversation context through its advanced memory system * Maintains separate conversation threads with multiple users simultaneously * Stores user interactions and conversation history for future context ## Engagement Triggers ### Direct Engagement * Responds to direct mentions and tags * Processes questions and requests using its knowledge base * Performs real-time web searches when additional information is needed * Maintains conversation context through its memory system ### Autonomous Engagement * Proactively joins relevant sports and betting discussions * Analyzes conversation relevance before engaging * Can disengage when conversation becomes irrelevant * Initiates new content creation based on observed trends or gaps in discussion ## Platform-Specific Implementation ### **Twitter Integration** * Monitors Twitter stream for relevant sports betting discussions and mentions * Implements conversation threading for coherent multi-turn interactions * Uses sentiment analysis to gauge optimal engagement timing * Maintains rate limit awareness to ensure consistent availability ### **Discord Integration** * Provides real-time responses in relevant channels * Maintains separate conversation contexts per channel and user * Offers detailed analysis and betting insights when requested * Stores server-specific preferences and interaction history --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.billybets.ai/next-gen-influencer/core-interaction-capabilities.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.