Back to Track client reply SLAs in Gmail with OpenAI, Google Sheets, and Slack
Card snapshot
n8n-workflow-21255.n8n.io
·
2026-10-23 07:59:01 UTC
·
6a879d05c31906cb579ebdb3b4f6a61d8f63715df28a59dfb1e0844f81a9b765
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
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"label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
},
{
"url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
"icon": "\ud83d\udef5",
"label": "How Goomer automated their operations with over 200 n8n workflows"
},
{
"url": "https://n8n.io/blog/aws-workflow-automation/",
"label": "7 no-code workflow automations for Amazon Web Services"
}
],
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}
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},
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}
}
},
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},
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"type": "icon"
},
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},
{
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{
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},
{
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"icon": "\u26a1\ufe0f",
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},
{
"url": "https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/",
"icon": "\ud83d\udc66",
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},
{
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"icon": "\ud83d\udc4f",
"label": "How to automatically give kudos to contributors with GitHub, Slack, and n8n"
},
{
"url": "https://n8n.io/blog/automations-for-activists/",
"icon": "\u2728",
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}
],
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}
}
},
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},
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},
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"icon": "fa:map-signs",
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"label": "2021: The Year to Automate the New You with n8n"
},
{
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},
{
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},
{
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"icon": "\ud83c\udff7\ufe0f",
"label": "How to automatically manage contributions to open-source projects"
}
],
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}
]
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],
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]
}
}
},
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"color": "#506000"
},
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},
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}
]
},
{
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"icon": "file:gmail.svg",
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"form",
"wait",
"hitl",
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],
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"label": "Why business process automation with n8n can change your daily life"
},
{
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"icon": "\ud83c\udfab",
"label": "Supercharging your conference registration process with n8n"
},
{
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"icon": "store",
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},
{
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},
{
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"icon": "\ud83d\udca1",
"label": "15 Google apps you can combine and automate to increase productivity"
},
{
"url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
"icon": " \ud83d\udda5\ufe0f",
"label": "Hey founders! Your business doesn't need you to operate"
},
{
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"icon": "\ud83d\udcaa",
"label": "Using Automation to Boost Productivity in the Workplace"
}
],
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}
],
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}
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},
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}
}
},
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]
},
{
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"icon": "fa:sticky-note",
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],
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],
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"subcategories": {
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}
}
},
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"color": "#FFD233"
},
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},
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}
]
},
{
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"icon": "file:code.svg",
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"JS",
"Python",
"Script",
"Custom Code",
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],
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}
]
},
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]
}
}
},
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},
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},
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"name": "Development"
},
{
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"name": "Core Nodes"
}
]
},
{
"id": 839,
"icon": "fa:clock",
"name": "n8n-nodes-base.scheduleTrigger",
"codex": {
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],
"resources": {
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}
]
},
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],
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}
},
"group": "[\"trigger\",\"schedule\"]",
"defaults": {
"name": "Schedule Trigger",
"color": "#31C49F"
},
"iconData": {
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"type": "icon"
},
"displayName": "Schedule Trigger",
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"name": "Core Nodes"
}
]
},
{
"id": 1123,
"icon": "fa:link",
"name": "@n8n/n8n-nodes-langchain.chainLlm",
"codex": {
"data": {
"alias": [
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],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
}
]
},
"categories": [
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"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Basic LLM Chain",
"color": "#909298"
},
"iconData": {
"icon": "link",
"type": "icon"
},
"displayName": "Basic LLM Chain",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1153,
"icon": "file:openAiLight.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "OpenAI Chat Model"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "OpenAI Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1179,
"icon": "fa:code",
"name": "@n8n/n8n-nodes-langchain.outputParserStructured",
"codex": {
"data": {
"alias": [
"json",
"zod"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Output Parsers"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Structured Output Parser"
},
"iconData": {
"icon": "code",
"type": "icon"
},
"displayName": "Structured Output Parser",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow runs hourly to find Gmail threads where a client is waiting for your reply, uses OpenAI to triage and summarize new overdue messages, logs SLA timing in Google Sheets, and posts new and escalated reminders to a Slack channel. How it works 1. Runs every hour on a schedule. 2. Reads recent Inbox and Sent messages from Gmail and matches them by thread to identify client emails that are still awaiting your reply. 3. Compares the currently-waiting threads against a Google Sheets \u201cReply Log\u201d to detect newly-due threads, threads that have become overdue, and threads you have already replied to. 4. For newly-due or overdue unlogged threads, sends the email preview to OpenAI to decide whether a reply is needed, assign a priority, and generate a short summary. 5. Appends each new thread evaluation to the Google Sheets \u201cReply Log\u201d and posts a formatted alert to Slack only when OpenAI indicates a reply is needed. 6. For still-unanswered threads that cross 2\u00d7 the reply target, updates the row as overdue in Google Sheets and posts an escalation message to Slack. 7. When a reply is detected for an open thread, updates the Google Sheets row with replied time and calculated response hours. Setup 1. Connect credentials for Gmail, Google Sheets, OpenAI, and Slack. 2. Create a Google Sheets tab named \u201cReply Log\u201d with columns matching the fields the workflow writes (including inboundmessageid, threadid, clientemail, subject, summary, priority, stage, status, receivedat, flaggedat, repliedat, and responsehours). 3. In the workflow\u2019s settings values, set your email address, internal domains to exclude, replytargethours and lookbackdays, the Google Sheet ID, and the target Slack channel (and optionally set clientdomains to limit monitoring). Requirements - Gmail account (used for both inbox and sent mail) - OpenAI API key, a Google Sheet with a Reply Log tab, and a Slack workspace Customization - List clientdomains to watch only specific clients, and adjust replytargethours - Change the Gmail search to watch one label or a shared client inbox - Add a weekly Slack summary of average response hours per client from the Reply Log"
}
}