| name | twinmind-reference-architecture |
| description | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration.
Use when implementing reference architecture,
or managing TwinMind meeting AI operations.
Trigger with phrases like "twinmind reference architecture", "twinmind reference architecture".
|
| allowed-tools | Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep |
| version | 1.13.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","twinmind","architecture"] |
| compatibility | Designed for Claude Code, also compatible with Codex and OpenClaw |
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.
const config = {
apiKey: process.env.TWINMIND_API_KEY,
model: "ear-3",
aiModels: ["gpt-4", "claude", "gemini"],
};
Step 2: Implementation
const twinmind = {
transcriptionModel: "ear-3",
languages: ["en", "es", "ko", "ja", "fr"],
features: ["transcription", "summary", "action-items"],
privacyMode: "on-device",
};
async function verify() {
health = ();
.(, health.());
}