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Zoom AI Meeting Assistant

24 nodes · lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest

Engine
n8n
Nodes
24
Trigger
scheduled/triggered
Source file
1785_Stopanderror_Clickup_Automation_Webhook.json

Workflow flow

IntegrationsLmChatOpenAiManualStopAndErrorZoomSplitInBatchesHTTPExtractFromFileOpenAIEmailSendToolWorkflowAgentMicrosoftOutlookTool+10 more
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

When clicking ‘Test workflow’

Manual

Create tasks

@n8n/n8n-nodes-langchain.toolWorkflow

Create follow-up call

MicrosoftOutlookTool

TRIGGER

Execute Workflow Trigger

ExecuteWorkflow

Zoom: Get data of last meeting

Zoom

Split Out

Split Out

Filter: Last 24 hours

Filter

ClickUp

ClickUp

Zoom: Get transcripts data

HTTP

No Recording/Transcript available

StopAndError

Filter transcript URL

Set

Filter: Only 1 item

SplitInBatches

Zoom: Get transcript file

HTTP

Extract text from transcript file

ExtractFromFile

Format transcript text

Set

Zoom: Get participants data

HTTP

Create meeting summary

@n8n/n8n-nodes-langchain.openAi

Sort for mail delivery

Set

Format to html

Code

Send meeting summary

EmailSend

Create tasks and follow-up call

@n8n/n8n-nodes-langchain.agent

22 steps · flows top to bottom, branches left to right

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Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Zoom AI Meeting Assistant (24-node n8n automation, lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Zoom AI Meeting Assistant" is an n8n automation built from 24 nodes spanning lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi. 24 nodes · lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest Execution begins at the scheduled/triggered trigger and flows through the 24 configured nodes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 24-node flow from scratch.
  • Use it as a starting template when wiring lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi — adjust node parameters to your accounts and record IDs.
  • Import "Zoom AI Meeting Assistant" into n8n, reconnect credentials for lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi, and run the same automation in your own workspace.

Example output

Imported into n8n, "Zoom AI Meeting Assistant" exposes 24 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi. Set your credentials on the lmChatOpenAi node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Zoom AI Meeting Assistant" into Claude and ask it to explain each of the 24 nodes. Claude is good at suggesting credential mappings for lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Zoom AI Meeting Assistant" to your accounts — which lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 24 nodes.

Frequently asked questions

How do I import "Zoom AI Meeting Assistant" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Zoom AI Meeting Assistant" use?
It uses: lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi. The flow diagram above shows how each service connects across the 24 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own lmChatOpenAi and manual credentials in n8n after import.
What trigger type does "Zoom AI Meeting Assistant" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Zoom AI Meeting Assistant" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for lmChatOpenAi, manual, stopAndError, zoom, splitInBatches, httpRequest, extractFromFile, openAi.

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