n8n AI Agent: Turn Meeting Transcripts into Notion Tasks in 2026
Manual meeting follow-up is one of the biggest time wasters in any team. You sit through a 45-minute call, end with a list of action items, and by the next day half of them are forgotten. An n8n AI Agent workflow can solve that by automatically ingesting meeting transcripts, extracting action items using the OpenAI node, creating structured tasks in Notion, and placing deadline events on Google Calendar — all without you writing a single line of glue code.
This tutorial walks you through building that exact pipeline with real n8n nodes, real API configurations, and a production-ready deployment strategy on managed hosting.
What the AI Agent Workflow Does
The workflow listens for incoming meeting transcripts via a webhook, passes them through an AI Agent that uses OpenAI to extract structured task data, then routes that data into Notion and Google Calendar. Here is the full node chain:
- Webhook node — receives the transcript payload (plain text or structured JSON).
- Code node — pre-processes the transcript and formats it for the AI Agent.
- AI Agent node (OpenAI) — extracts task titles, descriptions, assignees, and deadlines using a system prompt.
- Notion node — creates a new database entry for each extracted task.
- Google Calendar node — creates an event for each task deadline.
- Slack node — posts a confirmation message with a task summary to the team channel.
- Error Trigger — catches failures and sends an alert.
The entire pipeline runs in under 10 seconds for a standard 30-minute meeting transcript.
Tip: If your team uses Otter.ai, Fireflies, or Gong for transcription, configure those tools to POST the transcript to your n8n webhook URL. Most transcription platforms support outgoing webhooks natively.
Prerequisites and Node Overview
Before you start dragging nodes onto the canvas, make sure you have the following credentials set up in n8n:
- OpenAI API key — create one from the OpenAI dashboard. The AI Agent node uses GPT-4o or GPT-5 series for task extraction.
- Notion integration token — create an internal integration in Notion and share the target database with it.
- Google Calendar OAuth — authenticate via OAuth2 and select the calendar where deadline events should appear.
- Slack App token — a bot token with
chat:writeandchannel:readscopes.
All four credential types are natively supported in n8n. You configure them once in the Credentials section and reference them in each node.
Your Notion database should have these columns:
Task Name(Title)Assignee(Select)Deadline(Date)Status(Select — options: Not Started, In Progress, Done)Source Meeting(Text)
Step 1: Set Up the Webhook Trigger
Drag a Webhook node onto the canvas. This is your entry point — it receives the transcript whenever a meeting ends.
- Set the HTTP Method to
POST. - Set the Path to something descriptive, like
/meeting-transcript. - Under Response Mode, select Response Headers and Body and set a static response body such as
{ "received": true }so the transcription service gets a 200 immediately. - In the Options tab, enable Respond to Webhook to prevent timeouts.
- Copy the production webhook URL (it will look like
https://your-instance.n8nautomation.cloud/webhook/meeting-transcript).
Test the webhook by sending a sample payload with tools like curl or Postman:
curl -X POST https://your-instance.n8nautomation.cloud/webhook/meeting-transcript \
-H "Content-Type: application/json" \
-d '{ "meeting_title": "Sprint Planning - Week 29", "transcript": "We discussed the new onboarding flow. Sarah will update the welcome email by Friday. Jake needs to fix the 404 redirect by Wednesday." }'
If the webhook returns { "received": true }, the trigger is working.
Step 2: Configure the AI Agent Node
This is where the heavy lifting happens. Drag an AI Agent node onto the canvas and connect it after the Webhook node.
Tip: You can also use the Anthropic Claude node here instead of OpenAI. The AI Agent node supports multiple model providers. Claude Opus 4.8 tends to handle long transcripts with more consistent JSON output, while GPT-4o responds faster on shorter texts.
AI Agent Configuration
- Select OpenAI as the AI Provider and choose the GPT-4o model (or GPT-5 if available).
- Set the Connection Mode to Chat Model.
- Under Memory, leave it as Window Buffer Memory with a size of 10 — enough context for the full transcript.
- Define the System Prompt with clear extraction rules:
- Extract each action item as a separate entry.
- Identify the assignee by name.
- Parse natural-language deadlines (e.g. "by Friday" becomes the next occurrence of that day).
- Output JSON in an array format with keys:
task_name,assignee,deadline,description. - Set a fallback deadline of +7 days if none is mentioned.
Here is the exact system prompt to paste into the AI Agent node:
You are a task extraction assistant. Given a meeting transcript, extract every action item. Return a JSON array where each object has keys: task_name (string), assignee (string), deadline (ISO 8601 date string), description (string). If no deadline is mentioned, set it to 7 days from today. If no assignee is mentioned, set it to "Unassigned". Do not include any text outside the JSON array.
- In the Prompt field, reference the transcript from the Webhook node using the expression editor:
{{ $json.transcript }}. Prepend a short instruction like:Extract tasks from this transcript: {{ $json.transcript }}.
Test the AI Agent node by executing it with your sample payload. The output should be a clean JSON array:
[
{
"task_name": "Update welcome email for onboarding flow",
"assignee": "Sarah",
"deadline": "2026-07-03",
"description": "Update the welcome email to reflect the new onboarding flow discussed in sprint planning."
},
{
"task_name": "Fix 404 redirect bug",
"assignee": "Jake",
"deadline": "2026-07-01",
"description": "Fix the 404 redirect issue identified during the onboarding flow review."
}
]
Step 3: Write Tasks to Notion and Add Calendar Events
The AI Agent outputs an array, but Notion and Google Calendar expect one item at a time. You need an Item Lists node (or the built-in SplitInBatches mode) to iterate through the extracted tasks.
- Place an Item Lists node after the AI Agent. Set Field to Split to
json— this unpacks the JSON array so each task becomes its own item in the n8n execution flow. - Connect a Notion node to the Item Lists output.
Notion Node Configuration
- Select Create a Database Item as the operation.
- Choose your task database from the dropdown.
- Map each Notion column to the AI Agent output:
Task Name→{{ $json.task_name }}Assignee→{{ $json.assignee }}Deadline→{{ $json.deadline }}Status→ hardcode toNot StartedSource Meeting→{{ $('Webhook').item.json.meeting_title }}(grab the meeting title from the original trigger payload)
After the Notion node succeeds, add a Google Calendar node in parallel or sequence (parallel is faster — just connect both to the same Item Lists output).
Google Calendar Node Configuration
- Select Create an Event as the operation.
- Choose the calendar where deadline events should appear.
- Set the event Title to
[Task] {{ $json.task_name }}. - Set the Start Date and End Date to
{{ $json.deadline }}. - Set the Description to
Assigned to: {{ $json.assignee }} {{ $json.description }}. - Optionally add a 1-hour reminder under Reminders.
Step 4: Send a Slack Confirmation
Add a Slack node after the Notion and Google Calendar nodes. This sends a summary message to your team channel so everyone knows the tasks were captured.
- Select Post a Message as the operation.
- Choose the Slack channel (e.g.
#meeting-notesor#general). - Build a message using Slack's Block Kit format for readability:
- Header:
New tasks from: {{ $('Webhook').item.json.meeting_title }} - Section block:
*Task:* {{ $json.task_name }} *Assignee:* {{ $json.assignee }} *Deadline:* {{ $json.deadline }}
- Header:
- Enable Unfurl Links so any Notion page links expand inline.
You can also add an Error Trigger node connected to the top-level workflow. If any step fails — say the Notion API returns a 429 rate-limit error — the Error Trigger fires a Slack message to your team with the error details and the transcript payload so nothing is lost.
Deploy on n8nautomation.cloud
This workflow runs on a schedule or on-demand, so it needs a server that stays online 24/7. Self-hosting n8n on a low-tier VPS might work for testing, but production pipelines like this one — which connect to four external APIs and handle team-critical data — benefit from managed hosting.
An n8nautomation.cloud instance gives you a dedicated n8n environment with automatic backups, instant setup, and full access to all community nodes including the AI Agent, Notion, Google Calendar, and Slack nodes used here. The production webhook URL for your workflow is available immediately at your subdomain — no reverse proxy, no SSL configuration, no cron setup.
If you already have an n8n instance elsewhere with similar workflows, the built-in migration tool can transfer your workflows to your new n8nautomation.cloud instance in seconds. You provide the old instance URL and API key, the migration tool pulls all workflows over, and you reconnect your credentials on the new instance. The dashboard also includes a Logs viewer for advanced debugging — useful when tracing how the AI Agent parsed a particularly long transcript.
Starting at $7/month, you get a dedicated n8n instance that you can point your own domain at (or use the yourname.n8nautomation.cloud subdomain) and change it anytime through the dashboard.
Once deployed, test your meeting notes pipeline with a real transcript. Send a POST request from your transcription tool, watch the AI Agent extract tasks, and check that Notion and Google Calendar are populated within seconds. The Slack confirmation is your signal that everything worked — and the Error Trigger catches you if it didn't.