# Plaud ## Links - Product page URL: https://www.agentpmt.com/marketplace/plaud - Product markdown URL: https://www.agentpmt.com/marketplace/plaud?format=agent-md - Product JSON URL: https://www.agentpmt.com/marketplace/plaud?format=agent-json ## Overview - Product ID: 6a441cb4bd8063b88c9f375a - Type: connector - Unit type: request - Price: 500 credits - Categories: AI & Machine Learning, Automation, Text Extraction & Parsing, Audio & Sound Design - Generated at: 2026-09-05T00:16:40.953Z ### Page Description Bring your Plaud recordings into every tool you already use. Plaud captures your meetings, calls, and voice memos as recordings, AI summaries, and full transcripts — and this makes all of it available to your AI assistant so nothing stays trapped in the app. Search recordings by name or date, pull speaker-attributed transcripts and AI notes, and build automations and workflows around what was said: follow-up emails, CRM notes, tasks, project updates, and shared documents. Connect Plaud once and every conversation you capture can flow automatically into the tools your team already runs on. ### Agent Description Work with the user's connected Plaud account to act on their voice recordings. List and search recordings by name or date, fetch recording details, retrieve AI-generated notes (summary, action items, key topics), and pull full timestamped transcripts with speaker attribution. Use these to summarize meetings and calls, extract action items, and feed conversation content into other tools — CRMs, task managers, email, docs, and calendars. The user links Plaud once through a secure account connection; never ask for a Plaud username or password. ## Details ### Details Bring your Plaud recordings into every tool you already use. Plaud captures your meetings, calls, and voice memos as recordings, AI summaries, and full transcripts — and this makes all of it available to your AI assistant so nothing stays trapped in the app. Search recordings by name or date, pull speaker-attributed transcripts and AI notes, and build automations and workflows around what was said: follow-up emails, CRM notes, tasks, project updates, and shared documents. Connect Plaud once and every conversation you capture can flow automatically into the tools your team already runs on. ### Actions - `list_files` (5 credits) - `get_file` (5 credits) - `get_note` (5 credits) - `get_transcript` (5 credits) - `get_current_user` (5 credits) ### Use Cases Turn meeting recordings into CRM notes and follow-up tasks, Draft follow-up emails from a call transcript, Summarize interviews and save notes to a shared doc, Extract action items from voice memos into a task manager, Search past recordings by topic, name, or date, Pull speaker-attributed transcripts for analysis or quotes, Review a recording's AI summary before a follow-up, Sync Plaud meeting notes into project and CRM tools ### Workflows Using This Tool #### Plaud Recordings to Google Drive Sync Automatically backs up your Plaud recordings to Google Drive and keeps a tracking spreadsheet in Google Sheets. Each time you run this workflow, it downloads any new recordings from your Plaud account to a "Plaud Recordings" folder in Drive, creates a transcript for each recording (using Plaud's built-in transcripts when available, or automatic speech-to-text otherwise), saves the transcript alongside the audio file, identifies what each recording is about (meeting, interview, note, etc.), and logs everything in a spreadsheet with links to the audio and transcript files. You can run this as often as you like - it only processes new recordings and won't duplicate anything. Just connect your Plaud, Google Drive, and Google Sheets accounts and run it whenever you want to sync your latest recordings. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-recordings-to-google-drive-sync - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-recordings-to-google-drive-sync?format=agent-md - Published: 2026-08-07T14:43:24.041Z #### Narrated Walkthrough to a Numbered SOP Document Turns talking through a job out loud into a written, numbered standard operating procedure. Built for the people who actually know the equipment and have no time to write documentation: maintenance and facilities teams, field service, manufacturing, labs, franchise operations, and any owner trying to get a process out of their own head before handing it over. Walk the machine or the task and narrate it, saying the step number out loud as you go, and the workflow pulls the transcript of each new Plaud recording and turns it into a clean procedure document: a title, the equipment or process it covers, tools and safety notes gathered into their own sections, then numbered steps in the order you said them, with your asides and warnings kept attached to the step they belong to. Filler, false starts and interruptions are dropped; the technical content is left in your words rather than rewritten into corporate documentation voice. It lands as a Google Doc so it stays editable and exports to PDF or Word, and anything the narration left ambiguous is flagged at the end for you to fill in rather than being invented. Say each step number aloud and the transcript carries its own index, which makes pairing photos to steps afterwards mechanical instead of guesswork. - Page URL: https://www.agentpmt.com/agent-workflow-skills/narrated-walkthrough-to-a-numbered-sop-document - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/narrated-walkthrough-to-a-numbered-sop-document?format=agent-md - Published: 2026-07-26T00:01:54.152Z #### One Plaud Recording, Several Differently Formatted Summaries Gets you past the one-template-per-recording ceiling. The Plaud app applies a single AutoFlow template to a recording, so if you want a short recap for yourself, a decisions-only version for the people who missed it, and a clean action list for your task manager, you are re-running or rewriting by hand. This workflow reads the transcript once and produces every format you have defined in a single pass: you list the output formats you want in a Google Sheet, each with a name and a description of the shape and audience, and the workflow generates all of them from the same source text and writes them into one Google Doc per recording with a section for each. Because every version comes from the same read of the transcript, they stay consistent with each other rather than drifting the way separately generated summaries do. Formats are yours to change at any time by editing the sheet, with no re-recording and no template juggling in the app. A processed log keeps each recording to a single pass so it can run on a schedule over everything new. - Page URL: https://www.agentpmt.com/agent-workflow-skills/one-plaud-recording-several-differently-formatted-summaries - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/one-plaud-recording-several-differently-formatted-summaries?format=agent-md - Published: 2026-07-26T00:01:46.081Z #### Plaud Transcripts Corrected With Your Own Terminology Glossary Fixes the words your transcription keeps getting wrong, by giving the pipeline your vocabulary instead of hoping a bigger model guesses right. Every speech model mangles terms it has never seen: cell line and reagent names, drug and device names, case and matter numbers, part numbers, local spelling and number conventions, team and client names. Swapping to a different model does not fix this, because none of them have your terms either. Keep a plain Google Sheet glossary of the terms that matter, each with the spelling you want and the misfires it usually comes back as ("HEK293" for "heck two ninety three"), plus any formatting rules you need enforced, such as Swiss German ss instead of eszett or 1'000.00 number style. On each run the workflow reads the glossary, pulls the transcript of every new Plaud recording, applies the corrections to the transcript first, and only then writes the summary and action items from the corrected text, so your terminology is right everywhere downstream instead of only in the raw transcript. The corrected transcript and summary land in a Google Doc, and every correction made is listed so you can see what changed and keep tuning the glossary. Unknown terms are flagged, never silently normalized into something that looks plausible. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-transcripts-corrected-with-your-own-terminology-glossary - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-transcripts-corrected-with-your-own-terminology-glossary?format=agent-md - Published: 2026-07-26T00:01:37.863Z #### Plaud Recordings to Google Calendar Events Puts the meetings you agree to out loud straight onto your Google Calendar, without Zapier in the middle. Plaud's own app has no Calendar integration, so this closes that gap directly: each new recording is scanned, the transcript pulled, and any genuine scheduling commitment spoken in it ("let's do Tuesday at 3", "I'll come back out Thursday morning") is extracted with the relative date resolved against the recording's own date and your timezone. Each one becomes a Google Calendar event with the agreed time, a title naming who and what, and the surrounding quote from the transcript in the description so you can see exactly what was said. Vague intentions with no time attached ("we should catch up sometime") are deliberately ignored rather than guessed into a slot. Because it uses the full Google Calendar connector it also reads back, so an agent can answer what your week looks like from the same connection. A Google Sheet ledger records every recording id and every event created, so a scheduled run never double-books you. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-recordings-to-google-calendar-events - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-recordings-to-google-calendar-events?format=agent-md - Published: 2026-07-26T00:01:29.867Z #### Plaud Spoken Field Notes to a Structured Sheet Turns a spoken site visit into a filled-in spreadsheet row, so measurements and specs never get typed up twice. Built for anyone who dictates structured details on the job rather than writing them down: window and flooring measurements, equipment specs, inspection findings, punch lists, service call notes. Say the details out loud in the same order each visit (client, room, width, drop, colour, notes) and the workflow reads each new Plaud recording, pulls its transcript, extracts only the values actually spoken, and appends them as one row to your Google Sheet under whatever column headers you have already set up. Values are never inferred: if a measurement was not said, the cell is left empty and flagged in the run summary rather than guessed, because a fabricated number on a quote is worse than a blank one. Recordings that are not field dictations (meetings, personal memos, ambient audio) are logged as skipped and produce no row. A Processed tab records every recording id so the workflow can run on a schedule without duplicating rows. Pair it with your own quote template and the spreadsheet row becomes the quote. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-spoken-field-notes-to-a-structured-sheet - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-spoken-field-notes-to-a-structured-sheet?format=agent-md - Published: 2026-07-26T00:01:20.998Z #### Plaud Spoken Commitments to Telegram Reminders Catches every date and time you commit to out loud in your Plaud recordings — "I'll send it Thursday", "meet Bob at 3" — and sends the whole batch to you on Telegram. Scans each new recording, pulls the transcript (reusing the recording's own transcript when one exists), extracts spoken commitments and resolves relative dates against the recording date and your timezone, and logs them to a "Plaud Commitments" Google Sheet. Every run then sends one Telegram digest listing all open commitments sorted by due date, with overdue items flagged. Mark a row "done" in the sheet to drop it from future digests. Schedule it daily and the digest becomes your morning commitments briefing — no phone number needed: connect once through the AgentPMT Telegram bot, and if you haven't yet, the run summary walks you through it. A processed-recordings tab guarantees each recording is scanned exactly once. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-spoken-commitments-to-sms-reminders - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-spoken-commitments-to-sms-reminders?format=agent-md - Published: 2026-07-22T14:01:25.974Z #### Plaud Client Follow-Up Email Drafter Drafts a follow-up email after every client call you record with Plaud — and never sends without your approval. Reviews each new recording, pulls the transcript (reusing the recording's own transcript when one exists), identifies genuine client conversations, and drafts a warm, concise follow-up recapping the discussion, what each side committed to, and the agreed next step — written strictly from what was said. Looks up the client's email address in your Google Contacts, then sends you the draft with the proposed recipient for approval; only after you approve (and confirm the address) is the email sent from your own Gmail account, so it lands in your Sent folder and replies come back to you. Every recording is logged in a Google Sheet so nothing is drafted twice. Skipped and rejected drafts are recorded with their reason. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-client-follow-up-email-drafter - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-client-follow-up-email-drafter?format=agent-md - Published: 2026-07-22T04:40:53.556Z #### Plaud Meeting Recap to Slack Posts a clean, speaker-labeled recap of every team meeting you record with Plaud into a Slack channel of your choice (defaults to #meeting-recaps). Reviews each new recording, pulls the transcript (reusing the recording's own transcript when one exists), identifies genuine multi-person team meetings — solo memos, client calls, and test recordings are skipped — and posts a formatted recap with participants, decisions, topics discussed, and action items with owners. A Google Sheet ledger guarantees each recording is handled exactly once, so the workflow can run on a schedule without duplicate posts. The Slack app must be a member of the target channel. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-meeting-recap-to-slack - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-meeting-recap-to-slack?format=agent-md - Published: 2026-07-22T04:25:40.501Z #### Plaud Master Action-Item Tracker Collects every action item spoken in your Plaud recordings into one master Google Sheet. Scans each new recording, pulls its transcript (reusing the recording's own transcript when one exists) and AI summary, extracts concrete tasks with the responsible owner and any spoken due date (resolved to a real calendar date from the recording date), and appends them to an "Action Items" tab with status "open" — deduplicated within and across meetings so the same commitment never appears twice. A "Processed Recordings" tab guarantees each recording is scanned exactly once, so the workflow can run on a schedule. Solves the problem of action items being trapped inside individual meeting summaries. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-master-action-item-tracker - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-master-action-item-tracker?format=agent-md - Published: 2026-07-22T04:22:11.630Z #### Plaud Call Logger for Pipedrive Turns your Plaud voice recordings of client calls into Pipedrive records automatically. Reviews every new recording, identifies genuine client conversations, transcribes them (reusing the recording's own transcript when one exists), saves the transcript to a "Plaud Call Logs" Drive folder, matches the spoken client name and company to a Pipedrive person and open deal, attaches a call note with the discussion summary, commitments, next steps, and transcript link, and creates a follow-up activity dated from spoken commitments. Keeps a Google Sheet ledger so every recording is processed exactly once; recordings that are not client calls are logged and skipped. Re-runnable and idempotent. - Page URL: https://www.agentpmt.com/agent-workflow-skills/plaud-call-logger-for-pipedrive - Markdown URL: https://www.agentpmt.com/agent-workflow-skills/plaud-call-logger-for-pipedrive?format=agent-md - Published: 2026-07-22T04:22:05.790Z ### Related Content #### Productivity AI Assistant: Plaud, Now on AgentPMT - Type: article - Page URL: https://www.agentpmt.com/articles/productivity-ai-assistant-plaud-now-on-agentpmt - Markdown URL: https://www.agentpmt.com/articles/productivity-ai-assistant-plaud-now-on-agentpmt?format=agent-md Plaud is now live on the AgentPMT marketplace as a connector that gives agents access to your voice recordings, AI notes, and speaker-attributed transcripts. It already powers running workflows that turn recorded conversations into CRM notes, follow-up emails, tracked action items, and Slack recaps. ## Documentation No platform documentation is currently linked to this product. ## Integration Details ### DynamicMCP - Setup page URL: https://www.agentpmt.com/dynamic-mcp - Claude setup guide: https://www.agentpmt.com/dynamic-mcp#platform=claude - ChatGPT setup guide: https://www.agentpmt.com/dynamic-mcp#platform=chatgpt - Cursor setup guide: https://www.agentpmt.com/dynamic-mcp#platform=cursor - Windsurf setup guide: https://www.agentpmt.com/dynamic-mcp#platform=windsurf Use the local router for command-based MCP clients. It forwards requests to `https://api.agentpmt.com/mcp` and does not execute tools locally. ```bash npm install -g @agentpmt/mcp-router agentpmt-setup ``` ### REST API The live page renders cURL, Python, JavaScript, and Node.js examples. Logged-in users see those examples prefilled with their own API and budget credentials. - Purchase endpoint: https://api.agentpmt.com/products/purchase - Authorization format: `Bearer ` ```bash curl -X POST "https://api.agentpmt.com/products/purchase" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer eW91ci1hcGkta2V5LWhlcmU6eW91ci1idWRnZXQta2V5LWhlcmU=" \ -d '{ "product_id": "6a441cb4bd8063b88c9f375a", "parameters": { "action": "get_current_user" } }' ``` ### Autonomous Agents Autonomous agents can access this tool through AgentAddress credit balances or direct x402 payments. Use the Autonomous Agent API reference for endpoint shapes after choosing the access pattern below. - Autonomous Agent API reference URL: https://www.agentpmt.com/docs/api-reference/autonomous-agents - Autonomous Agent API reference markdown URL: https://www.agentpmt.com/docs/api-reference/autonomous-agents?format=agent-md - Credit-Based Access Using AgentAddress: https://www.agentpmt.com/docs/autonomous-agents/credit-based-tool-usage-with-agentaddress - AgentAddress is preferred for persistent file access, stored platform state, and maximum tool use ability across repeated calls. - Direct x402 is for independent one-off tool calls that do not require shared files or stored platform state. - Direct x402 public payments: USDC on Base, Arbitrum, Optimism, Polygon, and Avalanche. #### Product Skill Package This product has a published Agent Skill package for product-specific operating instructions. - Skill slug: plaud - Version: 1.0.1 - Download SKILL.md: https://raw.githubusercontent.com/AgentPMT/agent-skills/main/skills/plaud/SKILL.md - Package source: https://github.com/AgentPMT/agent-skills/tree/main/skills/plaud - OpenClaw listing: https://clawhub.ai/agentpmt/plaud - OpenClaw install: `openclaw skills install plaud` - skills.sh install: `npx skills add AgentPMT/agent-skills --skill plaud` - Last published: 2026-07-28T20:25:17.493Z ### Schema #### Credentials These runtime credentials should be provided under `parameters._credentials` when required. - Plaud OAuth (`plaud_oauth`, oauth_token, required) Help: Connect your Plaud account. AgentPMT stores an encrypted OAuth token and sends it as a Bearer token only to Plaud's hosted MCP server. Connection ID: 6a441d7219625ae3cc6d0f14 #### Parameters - Schema type: external_mcp ```json { "properties": { "action": { "type": "string", "description": "Action to perform on Plaud", "enum": [ "get_current_user", "get_file", "get_instructions", "get_note", "get_transcript", "list_files" ] }, "file_id": { "type": "string", "description": "The file ID to retrieve" }, "page": { "default": 1, "description": "Page number (ignored when filters are set)", "type": "number" }, "page_size": { "default": 20, "description": "Items per page (ignored when filters are set)", "type": "number" }, "query": { "description": "Case-insensitive substring match on recording name", "type": "string" }, "date_from": { "description": "Start date inclusive, YYYY-MM-DD", "type": "string" }, "date_to": { "description": "End date inclusive, YYYY-MM-DD", "type": "string" } }, "required": [ "action" ], "actions": [ { "action_name": "get_current_user", "description": "Get current authenticated user info", "input_schema": { "type": "object", "properties": {} }, "required": [], "price_per_unit": 5, "schema_status": "stale" }, { "action_name": "get_file", "description": "Get details of a specific Plaud recording by ID", "input_schema": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "file_id": { "type": "string", "description": "The file ID to retrieve" } }, "required": [ "file_id" ] }, "required": [ "file_id" ], "price_per_unit": 5, "schema_status": "stale" }, { "action_name": "get_instructions", "description": "Get tool instructions and available actions.", "input_schema": { "type": "object", "properties": {} }, "required": [], "price_per_unit": 5, "schema_status": "stale" }, { "action_name": "get_note", "description": "Fetch AI-generated notes for a Plaud recording — compact summary, action items, and key topics", "input_schema": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "file_id": { "type": "string", "description": "The file ID to retrieve notes for" } }, "required": [ "file_id" ] }, "required": [ "file_id" ], "price_per_unit": 5, "schema_status": "stale" }, { "action_name": "get_transcript", "description": "Fetch the full timestamped transcript with speaker attribution for a Plaud recording", "input_schema": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "file_id": { "type": "string", "description": "The file ID to retrieve transcript for" } }, "required": [ "file_id" ] }, "required": [ "file_id" ], "price_per_unit": 5, "schema_status": "stale" }, { "action_name": "list_files", "description": "List Plaud recordings. Supports optional client-side filtering: `query` (case-insensitive name substring), `date_from`/`date_to` (YYYY-MM-DD, inclusive). When any filter is set, paginates up to 5 pages × 100 recordings and returns all matches.", "input_schema": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "page": { "default": 1, "description": "Page number (ignored when filters are set)", "type": "number" }, "page_size": { "default": 20, "description": "Items per page (ignored when filters are set)", "type": "number" }, "query": { "description": "Case-insensitive substring match on recording name", "type": "string" }, "date_from": { "description": "Start date inclusive, YYYY-MM-DD", "type": "string" }, "date_to": { "description": "End date inclusive, YYYY-MM-DD", "type": "string" } } }, "required": [], "price_per_unit": 5, "schema_status": "stale" } ], "schema_status": "stale" } ``` ### Usage Instructions Plaud captures the user's voice recordings along with AI-generated notes and full transcripts. The user must link their Plaud account once through the Plaud connection before any call succeeds — always use the stored account connection and never ask the user for a Plaud username or password. Typical flow: 1. Use list_files to find a recording. Filter with `query` (name substring) and/or `date_from`/`date_to` when the user references a specific meeting or day. 2. Use get_note for a quick AI summary, action items, and key topics. 3. Use get_transcript for the full speaker-attributed, timestamped transcript when you need exact wording or quotes. 4. Use get_file for a recording's details, and get_current_user to confirm the connected account. Only surface recordings the connected Plaud account can access, and respect the user's Plaud account permissions. ### Frequently Asked Questions #### How do I connect this tool to an external agent? - Page URL: https://www.agentpmt.com/faq - Markdown URL: https://www.agentpmt.com/faq?format=agent-md You can install the local MCP server by opening a terminal and running: ``` npm install -g @agentpmt/mcp-router agentpmt-setup ``` This will connect you to local agents like Claude Code, Windsurf, Grok Build, Cursor, etc. Alternatively you can connect to the hosted version with this config block, no installation required: ``` { "mcpServers": { "agentpmt": { "type": "streamable-http", "url": "https://api.agentpmt.com/mcp", "headers": { "Authorization": "Bearer ", "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}" } } } } ``` [View MCP Connection Instructions](/docs/mcp-reference/connection) for more details. #### How does an external agent use this tool? - Page URL: https://www.agentpmt.com/faq - Markdown URL: https://www.agentpmt.com/faq?format=agent-md After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent: > Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get\_instructions' so you know how to use the tool search interface. Then call action 'get\_schema' with tool\_id 6a441cb4bd8063b88c9f375a ("Plaud"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT. #### Can I find a specific recording? - Page URL: https://www.agentpmt.com/faq#faq-6a5e946c6f463aa64f4f7eb7 - Markdown URL: https://www.agentpmt.com/faq?format=agent-md#faq-6a5e946c6f463aa64f4f7eb7 - Tags: Product Specific Yes. You can search recordings by name or filter by a date range, then pull that recording's AI summary or full speaker-attributed transcript. #### Can it connect Plaud recordings to my other tools? - Page URL: https://www.agentpmt.com/faq#faq-6a5e946c6f463aa64f4f7eb6 - Markdown URL: https://www.agentpmt.com/faq?format=agent-md#faq-6a5e946c6f463aa64f4f7eb6 - Tags: Product Specific Yes — that's the point. Transcripts, notes, and action items from Plaud can flow into the CRMs, task managers, email, docs, and calendars you already use, so conversations become action automatically. #### Do I need to share my Plaud password? - Page URL: https://www.agentpmt.com/faq#faq-6a5e946c6f463aa64f4f7eb5 - Markdown URL: https://www.agentpmt.com/faq?format=agent-md#faq-6a5e946c6f463aa64f4f7eb5 - Tags: Product Specific No. You connect your Plaud account once through a secure account connection. Your assistant works through that connection and never sees or stores your Plaud password. #### What can I do after I connect Plaud? - Page URL: https://www.agentpmt.com/faq#faq-6a5e946c6f463aa64f4f7eb4 - Markdown URL: https://www.agentpmt.com/faq?format=agent-md#faq-6a5e946c6f463aa64f4f7eb4 - Tags: Product Specific Once your Plaud account is linked, your AI assistant can search your recordings, pull AI summaries and full transcripts, and turn them into follow-up emails, CRM notes, tasks, and shared documents — without you re-typing anything. #### What does the assistant pull from a recording? - Page URL: https://www.agentpmt.com/faq#faq-6a5e946c6f463aa64f4f7eb8 - Markdown URL: https://www.agentpmt.com/faq?format=agent-md#faq-6a5e946c6f463aa64f4f7eb8 - Tags: Product Specific It can retrieve recording details, AI-generated notes (summary, action items, and key topics), and the full timestamped transcript with speaker labels. ### Dependencies This product has no public dependency products.