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name: meeting-log-whisper-summary description: Automate JJ_Vault meeting log processing when given a human-written meeting notes markdown file and an audio recording (m4a/wav). Use for creating date-based meeting_logs/DATE folders, running Whisper to generate DATE.srt, and drafting ai_summary.md that enriches the notes with transcript context.

Meeting Log Whisper Summary

Overview

Automate the JJ_Vault meeting log pipeline: infer the meeting date, organize files into a date folder, run Whisper to create the SRT transcript, then draft ai_summary.md by combining human notes with transcript details.

Workflow

1) Gather inputs

• Notes markdown file, typically JJ_Vault/meeting_logs/YYMMDD.md.
• Audio recording file (e.g., .m4a).

If either file is not provided, ask the user for the missing file path(s) before proceeding.

• If filenames do not contain a date, request the date explicitly.

2) Prepare folder + transcription

Run the helper script to create the date folder, place the audio, and generate YYMMDD.srt.

Example:

python scripts/prepare_meeting_log.py \
  --notes /path/to/JJ_Vault/meeting_logs/YYMMDD.md \
  --audio /path/to/recording.m4a \
  --model medium \
  --language ko \
  --mode copy

• Use --mode move to move the original audio.
• Use --date if the date cannot be inferred.
• Use --force to overwrite existing audio/SRT.
• Use --no-whisper to only organize files.

Expected outputs under JJ_Vault/meeting_logs/YYMMDD/:

• YYMMDD.<ext> (audio)
• YYMMDD.srt

3) Draft ai_summary.md

• Read the notes first; treat them as ground truth.
• Scan the SRT to add missing context, decisions, metrics, or action items.
• Write JJ_Vault/meeting_logs/YYMMDD/ai_summary.md using references/ai_summary_template.md.
• Flag ambiguity or conflicts under "확인 필요".

4) Verify

Confirm the date folder includes the audio, SRT, and ai_summary.md.

Resources

scripts/prepare_meeting_log.py

Create the date folder, place the audio, and run Whisper.

references/ai_summary_template.md

Summary template and guidance for ai_summary.md.