{ "name": "AI Pulse \u2014 Scoring (Pass 1)", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "hours", "hoursInterval": 4 } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.3, "position": [ 0, 0 ], "id": "121cd46b-5e19-4844-94f7-68a6edfd214c", "name": "Schedule Trigger" }, { "parameters": { "language": "pythonNative", "pythonCode": "import sqlite3\n\ndb_path = \"/data/ai-pulse/ai-pulse.db\"\nconn = sqlite3.connect(db_path)\nconn.row_factory = sqlite3.Row\ncursor = conn.cursor()\n\ncursor.execute(\"\"\"\n SELECT id, title, url, source_name, source_type, raw_content\n FROM articles\n WHERE relevance_score = 0\n ORDER BY ingested_at DESC\n LIMIT 200\n\"\"\")\nrows = cursor.fetchall()\nconn.close()\n\nreturn [{\"json\": dict(row)} for row in rows]" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 224, 96 ], "id": "44ed2bff-e695-45f9-a4d3-3780f38e1216", "name": "Fetch Unscored Articles" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 448, 96 ], "id": "5704552c-3d07-4152-b5ed-cdd1395cd6fe", "name": "Loop Articles" }, { "parameters": { "language": "pythonNative", "pythonCode": "import json as json_lib\n\nitems = _items\nresult = []\n\nfor item in items:\n data = item['json'] if 'json' in item else item\n \n title = str(data.get('title', 'Untitled'))[:300]\n source_name = str(data.get('source_name', 'Unknown'))\n raw = str(data.get('raw_content', ''))[:3000]\n \n prompt = (\n \"You are an AI relevance scorer for a Software Engineer interested in:\\n\"\n \"1. AI-powered dev tools (Copilot, Cursor, Gemini CLI, Claude Code, Windsurf, etc.)\\n\"\n \"2. AI agents & automation (MCP, tool use, agentic workflows, autonomous coding agents)\\n\"\n \"3. New model releases & benchmarks (GPT, Claude, Gemini, open-source LLMs)\\n\"\n \"4. SDLC excellence with AI (testing, CI/CD, code review, QA automation, deployment)\\n\"\n \"5. Context engineering & prompt engineering (system prompts, RAG, context windows, prompt patterns)\\n\"\n \"6. AI-assisted automation (workflow automation, n8n, scripting, infrastructure as code)\\n\\n\"\n \"Scoring guidelines:\\n\"\n \"- 80-100: Directly actionable for a hands-on engineer \u2014 new tools, releases, techniques they can use today\\n\"\n \"- 60-79: Relevant industry development \u2014 worth knowing but not immediately actionable\\n\"\n \"- 40-59: Tangentially related \u2014 general AI news with some engineering relevance\\n\"\n \"- 0-39: Not relevant \u2014 business/policy news, hype, speculation, or unrelated topics\\n\\n\"\n f\"Given this article:\\nTitle: {title}\\nSource: {source_name}\\n\"\n f\"Content: {raw}\\n\\n\"\n \"Return ONLY valid JSON, no other text:\\n\"\n \"{\\\"relevance_score\\\": <0-100>, \\\"category\\\": \\\"\\\", \\\"reasoning\\\": \\\"\\\"}\"\n )\n\n body = json_lib.dumps({\n \"model\": \"mistral\",\n \"prompt\": prompt,\n \"stream\": False,\n \"keep_alive\": \"10m\"\n })\n\n result.append({\"json\": {\n \"id\": data.get('id', 0),\n \"title\": title,\n \"source_name\": source_name,\n \"request_body\": body\n }})\n\nreturn result" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 672, 32 ], "id": "ea0ff242-499a-4c79-8260-2142aa982c20", "name": "Prepare Prompt" }, { "parameters": { "assignments": { "assignments": [ { "id": "5340ab1b-e7c8-4436-8c05-63283057a95a", "name": "article_id", "value": "={{ $('Prepare Prompt').item.json.id }}", "type": "string" } ] }, "includeOtherFields": true, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 1120, 32 ], "id": "7d93aed2-8b38-4bdc-93a8-1b5f0b5e5c3b", "name": "Add Article ID" }, { "parameters": { "method": "POST", "url": "http://host.docker.internal:11434/api/generate", "sendBody": true, "contentType": "raw", "rawContentType": "application/json", "body": "={{ $json.request_body }}", "options": { "timeout": 120000 } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ 896, 32 ], "id": "b412e266-fd42-45c8-88fb-f04a24e5729e", "name": "Ollama Score Article", "onError": "continueRegularOutput" }, { "parameters": { "language": "pythonNative", "pythonCode": "import sqlite3\nimport json as json_lib\n\ndb_path = \"/data/ai-pulse/ai-pulse.db\"\n\nitems = _items\narticle_id = 0\nrelevance_score = 0\ncategory = \"general\"\nreasoning = \"\"\nstatus = \"failed\"\n\nfor item in items:\n data = item['json'] if 'json' in item else item\n article_id = int(data.get('article_id', 0))\n response_text = str(data.get('response', ''))\n\n try:\n clean = response_text.strip()\n start = clean.find('{')\n end = clean.rfind('}') + 1\n if start >= 0 and end > start:\n parsed = json_lib.loads(clean[start:end])\n relevance_score = int(parsed.get('relevance_score', 0))\n category = str(parsed.get('category', 'general'))\n reasoning = str(parsed.get('reasoning', ''))\n status = \"success\"\n except:\n relevance_score = 1\n category = \"general\"\n status = \"parse_error\"\n\n if article_id > 0:\n conn = sqlite3.connect(db_path)\n cursor = conn.cursor()\n cursor.execute(\"\"\"\n UPDATE articles SET relevance_score = ?, category = ?\n WHERE id = ?\n \"\"\", (relevance_score, category, article_id))\n conn.commit()\n conn.close()\n\nreturn [{\"json\": {\"article_id\": article_id, \"score\": relevance_score, \"category\": category, \"reasoning\": reasoning, \"status\": status}}]" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1344, 96 ], "id": "6861ffc6-471e-4d22-becc-5fc3f0ad3029", "name": "Update Article Score", "onError": "continueRegularOutput" }, { "parameters": {}, "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 0, 192 ], "id": "eafd3614-4919-4cc8-8e41-7b4af3573dc9", "name": "When clicking \u2018Execute workflow\u2019" } ], "connections": { "Schedule Trigger": { "main": [ [ { "node": "Fetch Unscored Articles", "type": "main", "index": 0 } ] ] }, "Fetch Unscored Articles": { "main": [ [ { "node": "Loop Articles", "type": "main", "index": 0 } ] ] }, "Loop Articles": { "main": [ [], [ { "node": "Prepare Prompt", "type": "main", "index": 0 } ] ] }, "Prepare Prompt": { "main": [ [ { "node": "Ollama Score Article", "type": "main", "index": 0 } ] ] }, "Add Article ID": { "main": [ [ { "node": "Update Article Score", "type": "main", "index": 0 } ] ] }, "Ollama Score Article": { "main": [ [ { "node": "Add Article ID", "type": "main", "index": 0 } ] ] }, "Update Article Score": { "main": [ [ { "node": "Loop Articles", "type": "main", "index": 0 } ] ] }, "When clicking \u2018Execute workflow\u2019": { "main": [ [ { "node": "Fetch Unscored Articles", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1", "binaryMode": "separate", "availableInMCP": false }, "versionId": "b43914e0-7e47-415c-b428-24463b7f581f", "id": "AF67hJBmcplOWDzq", "tags": [] }