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 gmail and outputParserStructured credentials in n8n after import.

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Gmail AI auto-responder: create draft replies to incoming emails

12 nodes · gmail, outputParserStructured, lmChatOpenAi, chainLlm

Engine: n8n
Nodes: 12
Trigger: scheduled/triggered
Source file: 1479_Gmail_Stickynote_Create_Triggered.json

Workflow flow

Integrations

GmailOutputParserStructuredLmChatOpenAiChainLlmIF@n8n/n8n-nodes-langchain.outputParserStructured@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.chainLlm

100%

TRIGGER

Gmail Trigger

Gmail

JSON Parser

@n8n/n8n-nodes-langchain.outputParserStructured

OpenAI Chat

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Assess if message needs a reply

@n8n/n8n-nodes-langchain.chainLlm

If Needs Reply

Generate email reply

@n8n/n8n-nodes-langchain.chainLlm

Gmail - Create Draft

Gmail

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

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gmail outputParserStructured lmChatOpenAi chainLlm

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Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
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

Gmail AI auto-responder: create draft replies to incoming emails (12-node n8n automation, gmail, outputParserStructured, lmChatOpenAi, chainLlm) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Gmail AI auto-responder: create draft replies to incoming emails" automates a gmail-to-outputParserStructured flow in n8n across 12 nodes. 12 nodes · gmail, outputParserStructured, lmChatOpenAi, chainLlm Execution begins at the scheduled/triggered trigger and flows through the 12 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 gmail integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 12-node flow from scratch.
Share it with your team as a documented reference for scheduled/triggered automations in the gmail stack.
Study how data moves from gmail to outputParserStructured before building your own variant.

Example output

Imported into n8n, "Gmail AI auto-responder: create draft replies to incoming emails" exposes 12 configured nodes. Trigger type: scheduled/triggered. Integrations: gmail, outputParserStructured, lmChatOpenAi, chainLlm. Reconnect the gmail 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 "Gmail AI auto-responder: create draft replies to incoming emails" into Claude and ask it to explain each of the 12 nodes. Claude is good at suggesting credential mappings for gmail, outputParserStructured, lmChatOpenAi, chainLlm, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Gmail AI auto-responder: create draft replies to incoming emails" to your accounts — which gmail, outputParserStructured, lmChatOpenAi, chainLlm 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 12 nodes.

Frequently asked questions

How do I import "Gmail AI auto-responder: create draft replies to incoming emails" 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 "Gmail AI auto-responder: create draft replies to incoming emails" use?: It uses: gmail, outputParserStructured, lmChatOpenAi, chainLlm. The flow diagram above shows how each service connects across the 12 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 gmail and outputParserStructured credentials in n8n after import.
What trigger type does "Gmail AI auto-responder: create draft replies to incoming emails" 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 "Gmail AI auto-responder: create draft replies to incoming emails" 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 gmail, outputParserStructured, lmChatOpenAi, chainLlm.