Jeremylongshore Claude Code Plugins Plus Skills Twinmind Migration Deep Dive

TwinMind Migration Deep Dive

Overview

Migrate from other meeting AI tools (Otter.ai, Fireflies, Grain) to TwinMind with transcript import and workflow adaptation. 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
• API access (Pro/Enterprise tier)

Instructions

Step 1: Enterprise Configuration

TwinMind Enterprise supports on-premise deployment, custom AI models, and unlimited context tokens.

// TwinMind configuration
const config = {
  apiKey: process.env.TWINMIND_API_KEY,
  model: "ear-3", // Transcription model
  aiModels: ["gpt-4", "claude", "gemini"], // Summary models
};

Step 2: Role Configuration

// TwinMind Migration Deep Dive implementation
// Enterprise tier features
const twinmind = {
  ssoProvider: "okta",
  teamSharing: true,
  customModels: ["gpt-4-turbo"],
  onPremise: true,
};

// Configure team access
async function configureTeam() {
  const team = await twinmind.createTeam({ name: "Engineering", members: ["user1", "user2"] });
  console.log("Team configured:", team.id);
}

Step 3: Verification

# Verify TwinMind enterprise setup
curl -H "Authorization: Bearer $TWINMIND_API_KEY" https://api.twinmind.com/v1/team/members | jq .

Key TwinMind Specifications

Output

• TwinMind Migration Deep Dive configured and verified
• TwinMind integration operational
• Enterprise features enabled

Error Handling

Resources

• TwinMind Website
• Chrome Extension
• Ear-3 Model
• iOS App

Next Steps

See twinmind-observability for monitoring setup.

Examples

Basic: Configure migration deep dive with default TwinMind settings for standard meeting workflows.

Enterprise: Deploy on-premise with custom AI models and SSO for team-wide meeting intelligence.

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