Back to Draft Gmail replies to stock and visit inquiries with Claude Haiku
Card snapshot
n8n-workflow-20458.n8n.io
·
2026-10-09 14:30:46 UTC
·
ec4c48e59bffdaa626e214af991a401f06634e8577916d9e38e074573ba99338
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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},
"displayName": "Aggregate",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1265,
"icon": "fa:tags",
"name": "@n8n/n8n-nodes-langchain.textClassifier",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Text Classifier"
},
"iconData": {
"icon": "tags",
"type": "icon"
},
"displayName": "Text Classifier",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1273,
"icon": "fa:project-diagram",
"name": "@n8n/n8n-nodes-langchain.informationExtractor",
"codex": {
"data": {
"alias": [
"NER",
"parse",
"parsing",
"JSON",
"data extraction",
"structured"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Information Extractor"
},
"iconData": {
"icon": "project-diagram",
"type": "icon"
},
"displayName": "Information Extractor",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1315,
"icon": "fa:table",
"name": "n8n-nodes-base.dataTable",
"codex": {
"data": {
"alias": [
"data",
"table",
"knowledge",
"data table",
"table",
"sheet",
"database",
"data base",
"mysql",
"postgres",
"postgresql",
"airtable",
"supabase",
"noco",
"notion"
],
"details": "Data table",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.datatable/"
}
]
},
"categories": [
"Core Nodes",
"Development"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\",\"transform\"]",
"defaults": {
"name": "Data table"
},
"iconData": {
"icon": "table",
"type": "icon"
},
"displayName": "Data table",
"typeVersion": 1,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick Overview This workflow checks a Gmail inbox every 5 minutes for new inquiry emails, uses Anthropic Claude to classify them as stock or store-visit requests, looks up matching data in n8n Data Tables, and saves a suggested reply as a Gmail draft while labeling each message for follow-up. How it works 1. Runs every 5 minutes on a schedule trigger. 2. Fetches up to 10 recent Gmail inbox messages sent to the configured inquiry address that are not already labeled as drafted or needing human review. 3. Processes emails one by one and uses Anthropic Claude to classify each message as a Stock inquiry, Store visit, or Other. 4. For stock inquiries, Claude extracts the product category from the email, the workflow looks up matching items in an n8n Data Table, and Claude drafts a reply using only the returned stock and pricing details. 5. For store-visit requests, Claude extracts the desired date/time from the email, the workflow looks up that day\u2019s slots in an n8n Data Table, and Claude drafts a reply listing available times (or indicating fully booked/unavailable). 6. Creates a Gmail draft reply in the original thread and adds an ai-drafted label to the email, while non-matching inquiries are labeled needs-human for manual handling. Setup 1. Connect Gmail credentials with access to the inbox that receives inquiries. 2. Add an Anthropic API credential for Claude. 3. Create and populate two n8n Data Tables (one for products/stock and one for visit slots) and select their table IDs in the two lookup steps. 4. Create the Gmail labels ai-drafted and needs-human and select them in the two Gmail labeling steps. 5. Update the Config values for inbox address, timezone, currency, and the signature appended to drafted replies."
}
}