Project Management AI Assistant
Enhances AI assistant responses by intercepting user queries, analyzing intent, and providing relevant context from various productivity systems.
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This server acts as a sophisticated, context-aware middleware designed to empower AI assistants with hyper-relevant information. It intelligently intercepts user queries, employing advanced NLP to analyze intent, extract entities, and parse temporal references. Subsequently, it gathers pertinent context from a suite of productivity systems including Google Calendar, GitHub, Slack, and JIRA. Before delivery, the fetched data is meticulously processed through caching, ranking, summarization, and correlation engines, creating a structured and concise context package that is then delivered alongside the original prompt to a generative AI model like Gemini, enabling more accurate and insightful responses.
Características Principales
- Multi-Source Context Aggregation: Fetches data from Google Calendar, GitHub, Slack, and JIRA.
- Dynamic Data Retrieval Tools: Provides specific functions to query each integrated service (e.g., get upcoming events, fetch open issues).
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- Context Packaging & Optimization: Employs caching, ranking, summarization, and correlation to create concise context bundles.
- AI Model Integration: Delivers structured context and prompts to Gemini AI for enhanced responses.
- Intelligent Query Understanding: Analyzes user intent, extracts entities, and parses temporal references using NLP.
Casos de Uso
- Enable AI to manage schedules and team availability by aggregating Google Calendar and Slack data.
- Enhance an AI assistant's ability to answer project-related questions by providing real-time data from JIRA and GitHub.
- Streamline developer workflows by giving an AI comprehensive context on repositories, pull requests, and deployments.
