twinmind-core-workflow-a

name	twinmind-core-workflow-a
description	Execute TwinMind primary workflow: Meeting transcription and summary generation. Use when implementing meeting capture, building transcription features, or automating meeting documentation. Trigger with phrases like "twinmind transcription workflow", "meeting transcription", "capture meeting with twinmind".
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.13.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","twinmind","transcription","workflow"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

TwinMind Core Workflow A: Meeting Transcription & Summary

Contents

• Overview
• Prerequisites
• Instructions
• Output
• Error Handling
• Examples
• Resources

Overview

Primary workflow for capturing meetings, generating transcripts with speaker diarization, and creating AI summaries with action items.

Prerequisites

• Completed twinmind-install-auth setup
• TwinMind Pro/Enterprise for API access
• Valid API credentials configured
• Audio source available (live or file)

Instructions

Step 1: Initialize Meeting Capture

Build a MeetingCapture class with startLiveCapture() for real-time recording and transcribeRecording() for file-based transcription. Use Ear-3 model with auto language detection and speaker diarization.

Step 2: Generate AI Summary

Create a SummaryGenerator with generateSummary() (brief/detailed/bullet-points formats), generateFollowUpEmail(), and generateMeetingNotes() methods.

Step 3: Handle Speaker Identification

Build a SpeakerManager that extracts speakers from transcript segments, calculates speaking time per speaker, and optionally matches speakers to calendar attendees.

Step 4: Orchestrate Complete Workflow

Wire everything together in processMeeting(): transcribe audio, then generate summary and identify speakers in parallel, optionally produce follow-up email and meeting notes.

See detailed implementation for complete MeetingCapture, SummaryGenerator, SpeakerManager, and orchestration code.

Output

• Complete meeting transcript with timestamps
• Speaker-labeled segments
• AI-generated summary
• Extracted action items with assignees
• Optional follow-up email draft
• Optional formatted meeting notes

Error Handling

Error	Cause	Solution
Transcription timeout