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twinmind-performance-tuning

twinmind-performance-tuning

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".

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

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 jeremy@intentsolutions.io 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 = await fetch("https://api.twinmind.com/v1/health");
  console.log("TwinMind status:", await health.json());
}

Step 3: Verification

# Verify TwinMind integration
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/health | jq .

Key TwinMind Specifications

FeatureSpecification
Transcription modelEar-3 (5.26% WER)
Speaker diarization3.8% DER
Languages140+ supported
Audio processingOn-device (no recordings stored)
AI modelsGPT-4, Claude, Gemini (auto-routed)
PlatformsChrome extension, iOS, Android
PricingFree / Pro $10/mo / Enterprise custom

Output

  • TwinMind Performance Tuning configured and verified
  • TwinMind integration operational
  • Meeting transcription workflow ready

Error Handling

ErrorCauseSolution
Microphone access deniedBrowser permissions not grantedEnable in Chrome settings
Transcription not startingAudio source not detectedCheck microphone selection
API key invalidIncorrect or expired keyRegenerate in TwinMind dashboard
Sync failedNetwork interruptionCheck connection, retry
Calendar disconnectOAuth token expiredRe-authorize in Settings

Resources

Next Steps

See twinmind-prod-checklist for production readiness.

Examples

Basic: Configure performance tuning with default TwinMind settings for standard meeting workflows.

Enterprise: Customize for high-volume meeting transcription with monitoring and alerting.

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