Execution Enforcer v2

The modern enterprise doesn't have a productivity problem; it has an execution gap. Traditional task managers are passive dashboards that quietly watch users fail because they rely entirely on user discipline. Execution Enforcer V2 was built to solve this through active, zero-trust agentic enforcement. Built specifically for the "AI Agents with Google AI Studio" track, this project deploys a production-ready multi-agent orchestration layer. It relies on Gemini 2.5 Pro as its core reasoning engine to actively monitor user task compliance. The architectural innovation lies in the integration of the Model Context Protocol (MCP) to automate three distinct, mutative consequences when Gemini detects a compliance failure: Time Penalties: MCP autonomously bypasses the user and physically injects penalty blocks into their Google Calendar. Immutable Logging: MCP writes a permanent record of the failure into a designated Notion workspace for compliance documentation. Social Accountability: MCP triggers the Gmail API to autonomously draft and send a failure notification to a designated accountability partner or manager. Technical Architecture: The Brain: Multi-agent routing via Google AI Studio and Gemini 2.5 Pro. The Orchestrator: MCP integration for autonomous Gmail, Notion, and Calendar API mutations. The Engine Room: A stateless Python FastAPI backend containerized on Google Cloud Run. The Perimeter: A React frontend hosted on a Firebase Global CDN, secured by Google OAuth 2.0 authentication. The Memory: A real-time NoSQL Firestore database tracking live user states and historical compliance metrics. Execution Enforcer demonstrates a true production-ready agent workflow: moving beyond conversational AI to deliver mutative, real-world accountability enforcement.