Centralisez votre veille, vos commentaires et la création de posts LinkedIn dans Notion, puis automatisez la génération de réponses ou de contenus à publier. L’IA reformule les idées, propose des suggestions et prépare les posts pour diffusion. Idéal pour les community managers, dirigeants ou équipes RH souhaitant dynamiser leur personal branding et la visibilité de leur entreprise sur LinkedIn.
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"mode": "id",
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},
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"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
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"text": "=## Current IssuenReported by: {{ $('Simplify Ticket').item.json.reportedBy }}n{{ $('Simplify Ticket').item.json.issueKey }} {{ $('Simplify Ticket').item.json.summary }}n{{ $('Simplify Ticket').item.json.description }}nn## Previously resolved Issuesn{{ $json.resolved_issues.toJsonString() }}",
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}
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"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
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"name": "OpenAi account"
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"name": "Add Comment to Issue",
"type": "n8n-nodes-base.jira",
"position": [
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"parameters": {
"comment": "={{ $json.text }}",
"options": {},
"issueKey": "={{ $('Simplify Ticket').item.json.issueKey }}",
"resource": "issueComment"
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"content": "## 1. Get Open Ticketsn[Read more about the Scheduled Trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger)nnWe can use a scheduled trigger to aggressively check for newly open tickets in our JIRA support queue. The "remove duplicates" node (ie. Mark as Seen) is used so that we don't process any issues more than once."
},
"typeVersion": 1
},
{
"id": "d201a66e-b64b-4b55-b785-9ab2d78f5362",
"name": "Mark as Seen",
"type": "n8n-nodes-base.removeDuplicates",
"position": [
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],
"parameters": {
"options": {},
"operation": "removeItemsSeenInPreviousExecutions",
"dedupeValue": "={{ $json.key }}"
},
"typeVersion": 2
},
{
"id": "72446f8f-07f8-4d06-afe7-ea7ca905183b",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-900,
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],
"parameters": {
"color": 7,
"width": 860,
"height": 540,
"content": "## 2. Automate Triaging of Ticketn[Read more about the Basic LLM node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)nnNew tickets always need to be properly labelled and prioritised but it's not always possible to get to update all incoming tickets if you're light on hands. Using an AI is a great use-case for triaging of tickets as its contextual understanding helps automates this step."
},
"typeVersion": 1
},
{
"id": "8b17aa91-afcb-4106-9987-c380fcb414b6",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
-600
],
"parameters": {
"color": 7,
"width": 760,
"height": 600,
"content": "## 3. Attempt to Resolve Ticket Using Previously Resolved Issuesn[Learn more about the JIRA node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.jira)nnThere are a number of approaches to also automate issue resolution. Here, we can search for similar tickets in the "Done" or resolved state and using the accepted answers of those tickets, provide context for an AI agent to suggest some ideas back to the user - best case, the fix is found and worst case, the user can add more debugging information through failed attempts."
},
"typeVersion": 1
},
{
"id": "ea4b420e-7e93-46e6-a94c-96ff96ce38f0",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
800,
-800
],
"parameters": {
"color": 7,
"width": 860,
"height": 520,
"content": "## 4. Suggest a Resolution via Commentn[Learn more about the JIRA node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.jira)nnFinally, we provide the context of past resolved tickets for the agent to suggest a few resolution ideas back to the user. Be sure to format the answer to match your company tone of voice as without, AI may sound quite technical and robotic!"
},
"typeVersion": 1
},
{
"id": "de26a64a-73dc-4952-946b-c45af9d712ce",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2100,
-1040
],
"parameters": {
"width": 440,
"height": 1100,
"content": "## Try It Out!n### This n8n template automates triaging of newly opened support tickets and issue resolution via JIRA.nnIf your organisation deals with a large number of support requests daily, automating triaging is a great use-case for introducing AI to your support teams. Extending the idea, we can also get AI to give a first attempt at resolving the issue intelligently.nn### How it worksn* A scheduled trigger picks up newly opened JIRA support tickets from the queue and discards any seen before.n* An AI agent analyses the open ticket to add labels, priority on the seriousness of the issue and simplifies the description for better readability and understanding for human support.n* Next, the agent attempts to address and resolve the issue by finding similar issues (by tags) which have been resolved.n* Each similar issue has its comments analysed and summarised to identify the actual resolution and facts.n* These summarises are then used as context for the AI agent to suggest a fix to the open ticket.nn### How to usen* Simply connect your JIRA instance to the workflow and activate to start watching for open tickets. Depending on frequency, you may need to increase for decrease the intervals.n* Define labels to use in the agent's system prompt.n* Restrict to certain projects or issue types to suit your organisation.nn### Requirementsn* JIRA for issue management and support portaln* OpenAI for LLMnn### Customising this workflown* Not using JIRA? Try swapping out the nodes for Linear or your issue management system of choice.n* Try a different approach for issue resolution. You might want to try RAG approach where a knowledge base is used.nn### Need Help?nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!nnHappy Hacking!"
},
"typeVersion": 1
}
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}