name	openplawd
description	Automatically poll Plaud recordings, transcribe with Whisper, and generate structured meeting notes. Triggers on "check plaud", "meeting notes", "transcription", or via cron.

OpenPlawd — Plaud Meeting Notes

Workflow

Plaud API → Download → Chunk audio → Whisper (Groq/OpenAI) → Agent → Meeting Notes → Dispatch

Polling

Run the polling script to detect new recordings and transcribe them:

python3 scripts/plaud-poll.py

The script outputs structured JSON:

{
  "new_detected": [...],
  "transcriptions_complete": [...],
  "transcriptions_in_progress": [...]
}

Interactive Flow

When a new transcription is ready:

Phase 1: Preview

Send a preview message with:

Date and duration of the recording
Detected meeting type (internal / client) and probable company
List of proper names detected with proposed corrections
"Say 'go' to generate the meeting notes, or correct the names first"

Phase 2: Validation

Wait for user response
If name corrections → apply them to the transcript
If "go" → proceed to generation

Phase 3: Generate Meeting Notes

Generate an HTML meeting note using this structure:

<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8">
  <style>
    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-size: 11pt; line-height: 1.4; }
    h1 { color: #1D1D1F; border-bottom: 2px solid #4A80F0; padding-bottom: 5px; }
    h2 { color: #4A80F0; margin-top: 20px; }
    .tldr { background: #f5f5f5; padding: 10px 15px; border-left: 4px solid #4A80F0; margin: 15px 0; }
    table { border-collapse: collapse; width: 100%; margin-top: 10px; }
    th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
    th { background: #4A80F0; color: white; }
    tr:nth-child(even) { background: #f9f9f9; }
  </style>
</head>
<body>
  <h1>Meeting Notes — [Company/Team] — [Date]</h1>
  <div class="tldr"><strong>TL;DR</strong><br>[3-5 lines summary]</div>
  <!-- Sections as needed -->
  <h2>Action Items</h2>
  <table>...</table>
</body>
</html>

Writing Rules

Concise bullet points (max 15 words each)
Active voice ("Launch X", "Send Y") — no passive constructions
Omit empty sections
Section emojis are mandatory

Available Section Emojis

Emoji	Section
Target	Context
Person	Profile (interviews)
Plug	Technical
Money	Commercial / Pricing
Calendar	Planning
Chart	Data / Metrics
Lock	Security / Legal
Rocket	Deployment
Bug	Bugs / Issues
Check	Positives
Warning	Watch points
Question	Open questions
Clipboard	Action items

Phase 4: Dispatch

After generating the meeting notes:

Send the HTML to the user (Telegram, email, or other configured channel)

Cleanup Plaud — rename and trash the recording:

python3 scripts/plaud-poll.py rename <rec_id> "Notes — Title — DD/MM"
python3 scripts/plaud-poll.py trash <rec_id>

Optional integrations (if configured):
- CRM note for client meetings
- Note app (e.g. Notion) for internal meetings
- Email draft for distribution

Whisper Corrections

Whisper often misspells proper names, especially non-English ones. Add your custom corrections below. The agent applies these before analyzing the transcript.

Whisper Output	Correction	Context
Add your own	corrections here	e.g. company name

Examples:

Whisper Output	Correction	Context
John son, John Son	Johnson	Common name misspelling
Marteen, Mar Teen	Martin	European name
Schmitt, Shmit	Schmidt	German name

Meeting Type Detection

Internal Meeting

Triggers: presence of a known team member name.

Configure your team members in the corrections table above.

Client Meeting

Triggers: mention of a client company, external contact, or commercial context.

Ambiguous

If unclear, ask the user:

I detect [clues]. Is this:
1. Client meeting ([suspected company])
2. Internal meeting

Cron Setup

Add to your OpenClaw cron configuration to poll automatically (e.g. every hour):

{
  "id": "plaud-poll",
  "schedule": "0 * * * *",
  "command": "python3 scripts/plaud-poll.py",
  "agent": "main"
}

Manual Trigger

Say "check plaud" or "meeting notes" to trigger the poll manually.

name	openplawd
description	Automatically poll Plaud recordings, transcribe with Whisper, and generate structured meeting notes. Triggers on "check plaud", "meeting notes", "transcription", or via cron.

OpenPlawd — Plaud Meeting Notes

Workflow

Plaud API → Download → Chunk audio → Whisper (Groq/OpenAI) → Agent → Meeting Notes → Dispatch

Polling

Run the polling script to detect new recordings and transcribe them:

python3 scripts/plaud-poll.py

The script outputs structured JSON:

{
  "new_detected": [...],
  "transcriptions_complete": [...],
  "transcriptions_in_progress": [...]
}

Interactive Flow

When a new transcription is ready:

Phase 1: Preview

Send a preview message with:

Date and duration of the recording
Detected meeting type (internal / client) and probable company
List of proper names detected with proposed corrections
"Say 'go' to generate the meeting notes, or correct the names first"

Phase 2: Validation

Wait for user response
If name corrections → apply them to the transcript
If "go" → proceed to generation

Phase 3: Generate Meeting Notes

Generate an HTML meeting note using this structure:

<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8">
  <style>
    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-size: 11pt; line-height: 1.4; }
    h1 { color: #1D1D1F; border-bottom: 2px solid #4A80F0; padding-bottom: 5px; }
    h2 { color: #4A80F0; margin-top: 20px; }
    .tldr { background: #f5f5f5; padding: 10px 15px; border-left: 4px solid #4A80F0; margin: 15px 0; }
    table { border-collapse: collapse; width: 100%; margin-top: 10px; }
    th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
    th { background: #4A80F0; color: white; }
    tr:nth-child(even) { background: #f9f9f9; }
  </style>
</head>
<body>
  <h1>Meeting Notes — [Company/Team] — [Date]</h1>
  <div class="tldr"><strong>TL;DR</strong><br>[3-5 lines summary]</div>
  <!-- Sections as needed -->
  <h2>Action Items</h2>
  <table>...</table>
</body>
</html>

Writing Rules

Concise bullet points (max 15 words each)
Active voice ("Launch X", "Send Y") — no passive constructions
Omit empty sections
Section emojis are mandatory

Available Section Emojis

Emoji	Section
Target	Context
Person	Profile (interviews)
Plug	Technical
Money	Commercial / Pricing
Calendar	Planning
Chart	Data / Metrics
Lock	Security / Legal
Rocket	Deployment
Bug	Bugs / Issues
Check	Positives
Warning	Watch points
Question	Open questions
Clipboard	Action items

Phase 4: Dispatch

After generating the meeting notes:

Send the HTML to the user (Telegram, email, or other configured channel)

Cleanup Plaud — rename and trash the recording:

python3 scripts/plaud-poll.py rename <rec_id> "Notes — Title — DD/MM"
python3 scripts/plaud-poll.py trash <rec_id>

Optional integrations (if configured):
- CRM note for client meetings
- Note app (e.g. Notion) for internal meetings
- Email draft for distribution

Whisper Corrections

Whisper often misspells proper names, especially non-English ones. Add your custom corrections below. The agent applies these before analyzing the transcript.

Whisper Output	Correction	Context
Add your own	corrections here	e.g. company name

Examples:

Whisper Output	Correction	Context
John son, John Son	Johnson	Common name misspelling
Marteen, Mar Teen	Martin	European name
Schmitt, Shmit	Schmidt	German name

Meeting Type Detection

Internal Meeting

Triggers: presence of a known team member name.

Configure your team members in the corrections table above.

Client Meeting

Triggers: mention of a client company, external contact, or commercial context.

Ambiguous

If unclear, ask the user:

I detect [clues]. Is this:
1. Client meeting ([suspected company])
2. Internal meeting

Cron Setup

Add to your OpenClaw cron configuration to poll automatically (e.g. every hour):

{
  "id": "plaud-poll",
  "schedule": "0 * * * *",
  "command": "python3 scripts/plaud-poll.py",
  "agent": "main"
}

Manual Trigger

Say "check plaud" or "meeting notes" to trigger the poll manually.

openplawd

OpenPlawd — Plaud Meeting Notes

Workflow

Polling

Interactive Flow

Phase 1: Preview

Phase 2: Validation

Phase 3: Generate Meeting Notes

Writing Rules

Available Section Emojis

Phase 4: Dispatch

Whisper Corrections

Meeting Type Detection

Internal Meeting

Client Meeting

Ambiguous

Cron Setup

Manual Trigger

OpenPlawd — Plaud Meeting Notes

Workflow

Polling

Interactive Flow

Phase 1: Preview

Phase 2: Validation

Phase 3: Generate Meeting Notes

Writing Rules

Available Section Emojis

Phase 4: Dispatch

Whisper Corrections

Meeting Type Detection

Internal Meeting

Client Meeting

Ambiguous

Cron Setup

Manual Trigger