executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
twinmind-reference-architectureProduction 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".
Independent GitHub snapshot · Automated classification · Original documentation governs
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:
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.
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
};
// TwinMind Reference Architecture 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());
}
# Verify TwinMind integration
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/health | jq .
| 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 |
| 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 |
See twinmind-prod-checklist for production readiness.
Basic: Configure reference architecture with default TwinMind settings for standard meeting workflows.
Enterprise: Customize for high-volume meeting transcription with monitoring and alerting.