Jyothish S L This workflow corresponds to n8n.io template #15720 — we link there as the canonical source.
This workflow follows the Agent → LinkedIn recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "IdoJSuGn4RiJRWh5",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Human-Governed AI Content Publishing Pipeline using Telegram for LinkedIn Post",
"tags": [],
"nodes": [
{
"id": "ffd93ee7-e36c-4c08-843f-c663a8702bbc",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"position": [
736,
-272
],
"parameters": {
"model": "qwen2.5:3b",
"options": {}
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "e9aad559-e466-419d-9a41-ccf57d59fd2a",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
736,
-528
],
"parameters": {
"text": "=You are an AI news summarization agent.\n\nYour task is to analyze the provided RSS/news article data and generate a clean structured JSON response.\n\nInput Data:\nCreator: {{ $json.creator }}\nTitle: {{ $json.title }}\nLink: {{ $json.link }}\nPublished Date: {{ $json.pubDate }}\nContent: {{ $json.content }}\n\nInstructions:\n1. Read and understand the article content.\n2. Generate a concise summary in 3-5 sentences.\n3. Extract the main topic/category.\n4. Identify important keywords.\n5. Detect sentiment if possible (Positive, Neutral, Negative).\n6. Return ONLY valid JSON.\n7. Do not include markdown or explanations.\n\nOutput JSON format:\n\n{\n \"creator\": \"\",\n \"title\": \"\",\n \"link\": \"\",\n \"published_date\": \"\",\n \"summary\": \"\",\n \"category\": \"\",\n \"keywords\": [],\n \"sentiment\": \"\",\n \"important_points\": []\n}",
"options": {},
"promptType": "define"
},
"typeVersion": 3.1
},
{
"id": "4f4f0cfc-f449-465f-8fec-ea993ec40322",
"name": "Insert rows in a table1",
"type": "n8n-nodes-base.postgres",
"position": [
1408,
-528
],
"parameters": {
"table": {
"__rl": true,
"mode": "list",
"value": "rss_feed_articles",
"cachedResultName": "rss_feed_articles"
},
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"columns": {
"value": {
"link": "={{ $('Code in JavaScript').item.json.link }}",
"title": "={{ $('Code in JavaScript').item.json.title }}",
"creator": "={{ $('Code in JavaScript').item.json.creator }}",
"summary": "={{ $('Code in JavaScript').item.json.summary }}",
"category": "={{ $('Code in JavaScript').item.json.category }}",
"keywords": "={{ $('Code in JavaScript').item.json.keywords }}",
"sentiment": "={{ $('Code in JavaScript').item.json.sentiment }}",
"is_approved": false,
"published_date": "={{ $('Code in JavaScript').item.json.published_date }}",
"important_points": "={{ $('Code in JavaScript').item.json.important_points }}"
},
"schema": [
{
"id": "id",
"type": "number",
"display": true,
"removed": true,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "creator",
"type": "string",
"display": true,
"required": false,
"displayName": "creator",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"required": true,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link",
"type": "string",
"display": true,
"required": true,
"displayName": "link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "published_date",
"type": "dateTime",
"display": true,
"required": false,
"displayName": "published_date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "keywords",
"type": "array",
"display": true,
"required": false,
"displayName": "keywords",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sentiment",
"type": "string",
"display": true,
"required": false,
"displayName": "sentiment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "important_points",
"type": "array",
"display": true,
"required": false,
"displayName": "important_points",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_approved",
"type": "boolean",
"display": true,
"removed": false,
"required": false,
"displayName": "is_approved",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created_at",
"type": "dateTime",
"display": true,
"removed": true,
"required": false,
"displayName": "created_at",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"credentials": {
"postgres": {
"name": "<your credential>"
}
},
"typeVersion": 2.6
},
{
"id": "ebec4384-0b2e-4aed-b8f0-59bec07b0b82",
"name": "Telegram Trigger",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-64,
64
],
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "79b4617d-8bf1-40e6-ad32-4e1e07728d6c",
"name": "Code in JavaScript",
"type": "n8n-nodes-base.code",
"position": [
1104,
-528
],
"parameters": {
"jsCode": "const parsed = JSON.parse($input.first().json.output);\n\nreturn [\n {\n json: parsed\n }\n];"
},
"typeVersion": 2
},
{
"id": "64bc816c-7fd2-48d4-8dd1-ab0491cfd01b",
"name": "No Operation, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
1648,
-528
],
"parameters": {},
"typeVersion": 1
},
{
"id": "ca6d2797-09c2-4417-9470-27fafbe2d8de",
"name": "Create a post",
"type": "n8n-nodes-base.linkedIn",
"position": [
1968,
48
],
"parameters": {
"text": "xsaxs",
"additionalFields": {}
},
"credentials": {
"linkedInOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "108d7a0a-fbf8-42ad-8988-e6e617576907",
"name": "No Operation, do nothing1",
"type": "n8n-nodes-base.noOp",
"position": [
2080,
224
],
"parameters": {},
"typeVersion": 1
},
{
"id": "616c0c5d-1685-40ca-8f43-d093b7860c1f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-768
],
"parameters": {
"color": 3,
"width": 2960,
"height": 640,
"content": "# AI Processing Layer:\n## \u2022 RSS Feed Aggregation\n## \u2022 Ollama AI Summarization\n## \u2022 Metadata Extraction"
},
"typeVersion": 1
},
{
"id": "9e38960b-8b1b-4e0f-824c-3f9cb5cca87f",
"name": "Send message and wait for response",
"type": "n8n-nodes-base.telegram",
"position": [
976,
64
],
"parameters": {
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"message": "=\ud83d\udcf0 *{{ $json.title }}*\n\n\ud83d\udc64 *Creator:* {{ $json.creator }}\n\n\ud83d\udcc2 *Category:* {{ $json.category }}\n\n\ud83d\ude0a *Sentiment:* {{ $json.sentiment }}\n\n\ud83d\udcdd *Summary:*\n{{ $json.summary }}\n\n\n\ud83d\udd17 *Read More:*\n{{ $json.link }}\n\n\ud83d\udcc5 *Published:*\n{{ $json.published_date }}",
"options": {},
"operation": "sendAndWait"
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "46194e82-1b58-4e11-ade4-5aec5aae8aa0",
"name": "RSS Read",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
400,
-528
],
"parameters": {
"url": "https://feeds.arstechnica.com/arstechnica/index",
"options": {}
},
"typeVersion": 1.2
},
{
"id": "dc543f1e-862d-420c-a649-24ed849a8e1b",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
624,
48
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "12b26c01-b362-4d1f-96c4-5201f87530e3",
"name": "Select rows from a table",
"type": "n8n-nodes-base.postgres",
"position": [
144,
64
],
"parameters": {
"limit": 10,
"table": {
"__rl": true,
"mode": "list",
"value": "rss_feed_articles",
"cachedResultName": "rss_feed_articles"
},
"where": {
"values": [
{
"column": "is_approved",
"condition": "IS NULL"
}
]
},
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"options": {},
"operation": "select"
},
"credentials": {
"postgres": {
"name": "<your credential>"
}
},
"typeVersion": 2.6,
"alwaysOutputData": true
},
{
"id": "52588ad4-da69-46e7-8ae0-727fc997c34f",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-128
],
"parameters": {
"width": 2960,
"height": 736,
"content": "# Human Governance Layer:\n## \u2022 Telegram Approval Workflow\n## \u2022 Manual Content Validation\n## \u2022 Publishing Control"
},
"typeVersion": 1
},
{
"id": "aeffea68-6bef-4fe9-97bb-8f36ea7d547a",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
1184,
64
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5c1ae620-776d-424a-838b-d53f70bfddda",
"operator": {
"type": "boolean",
"operation": "equals"
},
"leftValue": "={{ $json.data.approved }}",
"rightValue": true
}
]
}
},
"typeVersion": 2.3
},
{
"id": "7215dcbb-ad3a-42a5-8c9e-81c44ef109df",
"name": "Update rows in a table",
"type": "n8n-nodes-base.postgres",
"position": [
1488,
48
],
"parameters": {
"table": {
"__rl": true,
"mode": "list",
"value": "rss_feed_articles",
"cachedResultName": "rss_feed_articles"
},
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"columns": {
"value": {
"id": "={{ $('Loop Over Items').item.json.id }}",
"is_approved": true
},
"schema": [
{
"id": "id",
"type": "number",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "creator",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "creator",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"required": true,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link",
"type": "string",
"display": true,
"removed": true,
"required": true,
"displayName": "link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "published_date",
"type": "dateTime",
"display": true,
"removed": true,
"required": false,
"displayName": "published_date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "keywords",
"type": "array",
"display": true,
"removed": true,
"required": false,
"displayName": "keywords",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sentiment",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "sentiment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "important_points",
"type": "array",
"display": true,
"removed": true,
"required": false,
"displayName": "important_points",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_approved",
"type": "boolean",
"display": true,
"required": false,
"displayName": "is_approved",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created_at",
"type": "dateTime",
"display": true,
"removed": true,
"required": false,
"displayName": "created_at",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"postgres": {
"name": "<your credential>"
}
},
"typeVersion": 2.6
},
{
"id": "43c78949-e8a5-4b29-b992-2a9d40befaa4",
"name": "Update rows in a table1",
"type": "n8n-nodes-base.postgres",
"position": [
1488,
224
],
"parameters": {
"table": {
"__rl": true,
"mode": "list",
"value": "rss_feed_articles",
"cachedResultName": "rss_feed_articles"
},
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"columns": {
"value": {
"id": "={{ $('Loop Over Items').item.json.id }}",
"is_approved": false
},
"schema": [
{
"id": "id",
"type": "number",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "creator",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "creator",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"required": true,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link",
"type": "string",
"display": true,
"removed": true,
"required": true,
"displayName": "link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "published_date",
"type": "dateTime",
"display": true,
"removed": true,
"required": false,
"displayName": "published_date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "category",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "category",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "keywords",
"type": "array",
"display": true,
"removed": true,
"required": false,
"displayName": "keywords",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sentiment",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "sentiment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "important_points",
"type": "array",
"display": true,
"removed": true,
"required": false,
"displayName": "important_points",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_approved",
"type": "boolean",
"display": true,
"required": false,
"displayName": "is_approved",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "created_at",
"type": "dateTime",
"display": true,
"removed": true,
"required": false,
"displayName": "created_at",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"postgres": {
"name": "<your credential>"
}
},
"typeVersion": 2.6
},
{
"id": "9f6e1f28-9ca1-43b9-83be-b91ae1547cbe",
"name": "If1",
"type": "n8n-nodes-base.if",
"position": [
352,
64
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c626b43c-d373-4244-a751-b7eadc4076a8",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $input.all().length }}",
"rightValue": 0
}
]
}
},
"typeVersion": 2.3
},
{
"id": "134f9b16-7787-4ef8-aa6e-d82bcce7cf9e",
"name": "No Operation, do nothing3",
"type": "n8n-nodes-base.noOp",
"position": [
368,
304
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d048feab-f752-44c6-b559-47c78233a4d0",
"name": "No Operation, do nothing4",
"type": "n8n-nodes-base.noOp",
"position": [
736,
-96
],
"parameters": {},
"typeVersion": 1
},
{
"id": "b0e149de-d59b-4689-8e56-1d3a145e87e9",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
-1056
],
"parameters": {
"color": 5,
"width": 2960,
"height": 288,
"content": "# An AI-powered Human-in-the-Loop content automation workflow that collects RSS news feeds, generates structured summaries using local AI models, routes content through Telegram for human approval, and automatically publishes approved posts to LinkedIn.\n\n## The system combines AI efficiency with human governance to ensure high-quality, controlled, and brand-safe social media publishing."
},
"typeVersion": 1
},
{
"id": "a46ac27f-b993-46c9-85c6-2f43becf4ade",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
896,
-48
],
"parameters": {
"color": 4,
"width": 272,
"height": 304,
"content": "## Human In Loop Approval "
},
"typeVersion": 1
},
{
"id": "051db11b-f230-4eea-ac1d-e14700454a5d",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1872,
-80
],
"parameters": {
"color": 4,
"width": 272,
"height": 304,
"content": "## Automated LinkedIn Publishing"
},
"typeVersion": 1
},
{
"id": "658684a6-bb99-4411-af19-a42214701d01",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1408,
-48
],
"parameters": {
"color": 4,
"width": 272,
"height": 432,
"content": "## Postgres Audit Tracking "
},
"typeVersion": 1
},
{
"id": "1876bf30-b2f5-4f5d-abb6-63d8325b6da0",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
96,
-16
],
"parameters": {
"color": 4,
"width": 224,
"height": 224,
"content": "### Getting non approved feeds"
},
"typeVersion": 1
},
{
"id": "d05a7854-c083-471e-9b54-5ab3b3375f6d",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
32,
-624
],
"parameters": {
"color": 6,
"width": 224,
"height": 256,
"content": "### Trigger when new data arrives"
},
"typeVersion": 1
},
{
"id": "d9ecdae8-8b80-4995-acd1-7639cedf364d",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
-624
],
"parameters": {
"color": 6,
"width": 304,
"height": 256,
"content": "### Ollama AI Summarization"
},
"typeVersion": 1
},
{
"id": "05506e34-0433-4b92-9ab5-ca76fdd315ab",
"name": "RSS Feed Trigger",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
80,
-528
],
"parameters": {
"feedUrl": "https://feeds.arstechnica.com/arstechnica/index",
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"typeVersion": 1
},
{
"id": "84b913fd-3c35-4135-b0a3-6a10dcc2ac57",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1072,
-624
],
"parameters": {
"color": 6,
"width": 224,
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"content": "### Metadata Extraction"
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"content": "### Metadata Extraction"
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"content": "### Db Storing"
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"content": "# SYSTEM REQUIREMENTS\n\n## Core Platform\n- PostgreSQL Database\n- Telegram Bot API\n- LinkedIn Developer Application\n- Ollama Local AI Runtime\n\n---\n\n## AI Models\n- qwen2.5:3b (Recommended)\n- Any Ollama-supported LLM\n\n---\n\n## Required Integrations\n- Telegram Bot\n- LinkedIn OAuth2\n- PostgreSQL Connection\n- RSS Feed Sources\n- Ollama API Access\n\n---\n\n## Database Tables Required\n\n### 1. rss_feed_articles\nStores processed AI-generated article summaries and approval status.\n\n# Database Schema \u2014 rss_feed_articles\n\n## Table: `rss_feed_articles`\n\nStores AI-processed RSS news articles, metadata, approval status, and publishing information.\n\n| Column Name | Data Type | Constraints / Default | Description |\n|------------------|----------------|---------------------------------|-------------|\n| id | SERIAL | PRIMARY KEY | Unique article identifier |\n| creator | TEXT | NULLABLE | Author or creator of the article |\n| title | TEXT | NOT NULL | News article title |\n| link | TEXT | NOT NULL | Original article URL |\n| published_date | TIMESTAMP | NULLABLE | Original publication date |\n| summary | TEXT | NULLABLE | AI-generated article summary |\n| category | VARCHAR(100) | NULLABLE | Detected news category/topic |\n| keywords | TEXT[] | NULLABLE | Extracted keywords from article |\n| sentiment | VARCHAR(20) | NULLABLE | Sentiment analysis result |\n| important_points | TEXT[] | NULLABLE | Key highlights extracted by AI |\n| is_approved | BOOLEAN | DEFAULT TRUE | Human approval status |\n| created_at | TIMESTAMP | DEFAULT CURRENT_TIMESTAMP | Record creation timestamp |\n\n---\n\n## SQL Schema\n\n```sql\nCREATE TABLE rss_feed_articles (\n id SERIAL PRIMARY KEY,\n creator TEXT,\n title TEXT NOT NULL,\n link TEXT NOT NULL,\n published_date TIMESTAMP,\n summary TEXT,\n category VARCHAR(100),\n keywords TEXT[],\n sentiment VARCHAR(20),\n important_points TEXT[],\n is_approved BOOLEAN DEFAULT TRUE,\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);"
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Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
linkedInOAuth2ApiollamaApipostgrestelegramApi
Pro
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About this workflow
This workflow automatically converts incoming RSS/news articles into structured, AI-enriched content records. It uses a local AI model to summarize articles, extract metadata, and classify content before storing it in PostgreSQL. A human-in-the-loop approval step via Telegram…
Source: https://n8n.io/workflows/15720/ — original creator credit. Request a take-down →
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