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Inverview Scheduler

25 nodes · lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar

Engine
n8n
Nodes
25
Trigger
scheduled/triggered
Source file
1813_Code_GoogleCalendar_Automation_Triggered.json

Workflow flow

IntegrationsLmChatOpenAiMemoryBufferWindowToolWorkflowAgentOutputParserStructuredGoogleCalendarExecuteWorkflowChat@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindow@n8n/n8n-nodes-langchain.toolWorkflow@n8n/n8n-nodes-langchain.agent+7 more
100%

OpenAI Chat Model2

@n8n/n8n-nodes-langchain.lmChatOpenAi

Window Buffer Memory2

@n8n/n8n-nodes-langchain.memoryBufferWindow

OpenAI Chat Model4

@n8n/n8n-nodes-langchain.lmChatOpenAi

Run Get Availability

@n8n/n8n-nodes-langchain.toolWorkflow

check day names

@n8n/n8n-nodes-langchain.toolWorkflow

Parse to JSON

@n8n/n8n-nodes-langchain.outputParserStructured

Generate Interview Times

Code

TRIGGER

Get Availability

ExecuteWorkflow

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

Interview Scheduler

@n8n/n8n-nodes-langchain.agent

Check My Calendar

GoogleCalendar

Generate 30 Minute Timeslots

Code

If Final Output

IF

Split Events into 30 min blocks

Code

Convert Output to JSON

@n8n/n8n-nodes-langchain.agent

Respond for More Info

NoOp

Add Blocked Field

Set

Set Meeting with Google

GoogleCalendar

Combine My Calendar with All Slots

Merge

Final Response to User

Code

Check if Calendar Blocked

IF

Return string of all available times

Code

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

Free n8n workflow: Inverview Scheduler. 25 nodes across lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"Inverview Scheduler" is an n8n automation built from 25 nodes spanning lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat. 25 nodes · lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar It starts from a scheduled/triggered trigger and routes data through every node in order. 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

  • Use it as a starting template when wiring lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat — adjust node parameters to your accounts and record IDs.
  • Import "Inverview Scheduler" into n8n, reconnect credentials for lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat, and run the same automation in your own workspace.
  • Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenAi stack.
  • Study how data moves from lmChatOpenAi to memoryBufferWindow before building your own variant.

Example output

Imported into n8n, "Inverview Scheduler" exposes 25 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat. Reconnect the lmChatOpenAi credential first, then walk the remaining nodes top to bottom. 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 "Inverview Scheduler" into Claude and ask it to explain each of the 25 nodes. Claude is good at suggesting credential mappings for lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Inverview Scheduler" to your accounts — which lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat 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 25 nodes.

Frequently asked questions

How do I import "Inverview Scheduler" 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 "Inverview Scheduler" use?
It uses: lmChatOpenAi, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat. The flow diagram above shows how each service connects across the 25 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 memoryBufferWindow credentials in n8n after import.
What trigger type does "Inverview Scheduler" 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 "Inverview Scheduler" 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, memoryBufferWindow, toolWorkflow, agent, outputParserStructured, googleCalendar, executeWorkflow, chat.

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