'Optimize TwinMind transcription accuracy and speed with Ear-3 model
Scanned 9/2/2026
Install to Claude Code
npx -y skills add jeremylongshore/tons-of-skills-marketplace --skill twinmind-performance-tuning --agent claude-codeInstalls into .claude/skills of the current project.
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---
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.
```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 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
```bash
# Verify TwinMind integration
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/health | jq .
```
## Key TwinMind Specifications
| Feature | Specification |
|---------|--------------|
| Transcription model | Ear-3 (5.26% WER) |
| Speaker diarization | 3.8% DER |
| Languages | 140+ supported |
| Audio processing | On-device (no recordings stored) |
| AI models | GPT-4, Claude, Gemini (auto-routed) |
| Platforms | Chrome extension, iOS, Android |
| Pricing | Free / Pro $10/mo / Enterprise custom |
## Output
- TwinMind Performance Tuning configured and verified
- TwinMind integration operational
- Meeting transcription workflow ready
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Microphone access denied | Browser permissions not granted | Enable in Chrome settings |
| Transcription not starting | Audio source not detected | Check microphone selection |
| API key invalid | Incorrect or expired key | Regenerate in TwinMind dashboard |
| Sync failed | Network interruption | Check connection, retry |
| Calendar disconnect | OAuth token expired | Re-authorize in Settings |
## Resources
- [TwinMind Website](https://twinmind.com)
- [Chrome Extension](https://chromewebstore.google.com/detail/twinmind/agpbjhhcmoanaljagpoheldgjhclepdj)
- [Ear-3 Model](https://www.marktechpost.com/2025/09/11/twinmind-introduces-ear-3-model/)
- [iOS App](https://apps.apple.com/us/app/twinmind-ai-notes-memory/id6504585781)
## 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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