twinmind-reference-architecture

# TwinMind Reference Architecture ## Overview Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. TwinMind uses the Ear-3 speech model (5.26% WER, 3.8% DER) for transcription, with GPT-4, Claude, and Gemini for AI summarization. ## Prerequisites - TwinMind account (Free, Pro $10/mo, or Enterprise) - Chrome extension installed and authenticated - Understanding of TwinMind workflow ## Instructions ### Step 1: Setup TwinMind operates as a Chrome extension and mobile app with optional API access for Pro/Enterprise users. ```javascript // TwinMind configuration const config = { apiKey: process.env.TWINMIND_API_KEY, model: "ear-3", // Transcription model aiModels: ["gpt-4", "claude", "gemini"], // Summary models }; ``` ### Step 2: Implementation ```javascript // TwinMind Reference Architecture implementation // Core TwinMind integration const twinmind = { transcriptionModel: "ear-3", languages: ["en", "es", "ko", "ja", "fr"], features: ["transcription", "summary", "action-items"], privacyMode: "on-device", // Audio never stored }; // Check transcription capabilities async function verify() { const health = await fetch("https://api.twinmind.com/v1/health"); console.log("TwinMind status:", await health.json()); } ``` ### Step 3: Verification ```bash # Verify TwinMind integration curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/heal...