twinmind-performance-tuning

name	twinmind-performance-tuning
description	Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Use when implementing performance tuning, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind performance tuning", "twinmind performance tuning".
allowed-tools	Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
version	1.13.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","twinmind","performance"]
compatibility	Designed for Claude Code

TwinMind Performance Tuning

Overview

Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. 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.

// 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

// TwinMind Performance Tuning 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 =  ();
  .(,  health.());
}