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Twinmind Cost Tuning

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'Optimize TwinMind costs across Free, Pro ($10/mo), and Enterprise tiers

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  • Added September 21, 2026
ai-agentsjavascriptgojavabashapi

Works with

  • claude code
  • api

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Scanned September 21, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus --skill twinmind-cost-tuning --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: twinmind-cost-tuning
description: 'Optimize TwinMind costs across Free, Pro ($10/mo), and Enterprise tiers
  with usage monitoring and tier selection guidance.

  Use when implementing cost tuning,

  or managing TwinMind meeting AI operations.

  Trigger with phrases like "twinmind cost tuning", "twinmind cost 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
- cost-optimization
compatibility: Designed for Claude Code
---
# TwinMind Cost Tuning

## Overview

Optimize TwinMind costs across Free, Pro ($10/mo), and Enterprise tiers with usage monitoring and tier selection guidance. 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 Cost 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 Cost 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 cost tuning with default TwinMind settings for standard meeting workflows.

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

Files in this skill

  • SKILL.md3.6 KB
  • references/implementation.md5.2 KB

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