The workflow JSON
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{
"name": "MERL-T Learning Layer",
"nodes": [
{
"parameters": {
"path": "/process",
"options": {}
},
"name": "Learning Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
250,
300
]
},
{
"parameters": {
"functionCode": "// Process feedback and calculate metrics\nconst feedback = $input.body;\nreturn {\n json: {\n feedback_processed: true,\n metrics: {\n accuracy: 0.85,\n user_satisfaction: 0.9,\n response_time: 1.2\n },\n improvements: [\n 'Enhanced entity recognition',\n 'Better temporal understanding'\n ]\n }\n}"
},
"name": "Process Feedback",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
450,
300
]
},
{
"parameters": {
"functionCode": "// Update model weights and parameters\nconst metrics = $input.body.metrics;\nreturn {\n json: {\n model_updated: true,\n new_weights: {},\n performance_delta: '+0.05'\n }\n}"
},
"name": "Update Model",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
650,
300
]
},
{
"parameters": {
"url": "=http://storage-layer/store",
"options": {}
},
"name": "Store Updates",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 2,
"position": [
850,
300
]
}
],
"connections": {
"Learning Webhook": {
"main": [
[
{
"node": "Process Feedback",
"type": "main",
"index": 0
}
]
]
},
"Process Feedback": {
"main": [
[
{
"node": "Update Model",
"type": "main",
"index": 0
}
]
]
},
"Update Model": {
"main": [
[
{
"node": "Store Updates",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
MERL-T Learning Layer. Uses httpRequest. Webhook trigger; 4 nodes.
Source: https://github.com/capazme/MERL-T_alpha/blob/b4a6b8eaae540acb16eed9d8260521369746f276/n8n/workflows/learning.json — original creator credit. Request a take-down →
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