{
  "name": "My workflow 4",
  "nodes": [
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "CREATE TABLE products (\n    id SERIAL PRIMARY KEY,\n    product_name VARCHAR(255) NOT NULL,\n    category VARCHAR(100),\n    description TEXT,\n    key_features TEXT,\n    price_range VARCHAR(50),\n    target_company_size VARCHAR(50),\n    industry_focus VARCHAR(100),\n    integration_capabilities TEXT,\n    user_rating DECIMAL(3,2)\n);",
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        288,
        -512
      ],
      "id": "5456b882-1c7c-4eff-af2f-b9c33ac1fb10",
      "name": "Execute a SQL query"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        32,
        -304
      ],
      "id": "db12d20c-6e0d-4d77-9002-c62f585cdfc9",
      "name": "When clicking ‘Execute workflow’"
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO products (product_name, category, description, key_features, price_range, target_company_size, industry_focus, integration_capabilities, user_rating) \nVALUES \n('Salesforce', 'CRM', 'Cloud-based CRM platform for sales, service, and marketing', 'Lead management, Sales forecasting, Marketing automation, Analytics', '$25-$300/user/month', 'SMB to Enterprise', 'All industries', 'REST API, Zapier, 2000+ integrations', 4.4),\n('HubSpot', 'CRM', 'All-in-one inbound marketing, sales, and service platform', 'Marketing automation, Contact management, Email tracking, Free CRM', 'Free-$3,200/month', 'Startups to Mid-market', 'B2B, SaaS', 'API, Zapier, 500+ integrations', 4.5),\n('Slack', 'Communication', 'Team collaboration and messaging platform', 'Channels, Direct messaging, File sharing, App integrations', 'Free-$12.50/user/month', 'All sizes', 'Tech, Remote teams', 'Webhooks, API, 2000+ apps', 4.6);",
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        496,
        -512
      ],
      "id": "ed133145-df6d-4139-a4d6-c96cb4b5f3c0",
      "name": "Execute a SQL query1"
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "SELECT \n    id,\n    product_name,\n    category,\n    description,\n    key_features,\n    price_range,\n    target_company_size,\n    industry_focus,\n    integration_capabilities,\n    user_rating\nFROM products\nORDER BY user_rating DESC\nLIMIT 50;",
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        512,
        -304
      ],
      "id": "731b0edc-2e52-4d75-a8a6-117772c93a6b",
      "name": "Execute a SQL query2"
    },
    {
      "parameters": {
        "mode": "raw",
        "jsonOutput": "{\n  \"user_query\": \"Need a CRM for small business under $50/user\",\n  \"company_size\": \"Small (10-50 employees)\",\n  \"budget\": \"Under $50/user/month\",\n  \"industry\": \"SaaS\",\n  \"required_features\": \"Lead management, Email integration\"\n}",
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        240,
        -304
      ],
      "id": "343a683f-06b3-4ff6-ad76-1a757e766fbf",
      "name": "Collect User Requirements"
    },
    {
      "parameters": {
        "jsCode": "const userInput = $('Collect User Requirements').item.json;\nconst products = $input.all();\n\n// Score products\nfunction scoreProduct(product, userInput) {\n  let score = 0;\n  const query = userInput.user_query.toLowerCase();\n  \n  if (product.category && query.includes(product.category.toLowerCase())) score += 30;\n  if (product.price_range && product.price_range.toLowerCase().includes('free')) score += 25;\n  score += (product.user_rating || 0) * 5;\n  \n  return score;\n}\n\nconst scored = products.map(item => ({\n  json: { ...item.json, score: scoreProduct(item.json, userInput) }\n}));\n\nscored.sort((a, b) => b.json.score - a.json.score);\nreturn scored.slice(0, 5); // Return only top 5"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        720,
        -304
      ],
      "id": "f6031c62-8fad-408a-b140-6d2f41f3a2a0",
      "name": "Code"
    },
    {
      "parameters": {
        "modelId": {
          "__rl": true,
          "value": "REPLACE_WITH_RESOURCE",
          "mode": "list"
        },
        "messages": {
          "values": [
            {
              "content": "=You are a SaaS product recommendation expert analyzing products for small businesses.\n\nUSER REQUIREMENTS:\n- Query: {{ $('Collect User Requirements').item.json.user_query }}\n- Company Size: {{ $('Collect User Requirements').item.json.company_size }}\n- Budget: {{ $('Collect User Requirements').item.json.budget }}\n- Required Features: {{ $('Collect User Requirements').item.json.required_features }}\n- Industry: {{ $('Collect User Requirements').item.json.industry }}\n\nTOP MATCHING PRODUCTS (sorted by relevance):\n{{ $('Code').all().map((item, i) => `\n${i+1}. ${item.json.product_name}\n   Category: ${item.json.category}\n   Price: ${item.json.price_range}\n   Rating: ${item.json.user_rating}/5\n   Match Score: ${item.json.score}/100\n   Target Size: ${item.json.target_company_size}\n   Features: ${item.json.key_features}\n   Description: ${item.json.description}\n`).join('\\n') }}\n\nProvide detailed recommendations:\n1. Top 3 products with clear reasoning\n2. Why each matches their specific needs\n3. Budget fit analysis\n4. Implementation considerations"
            }
          ]
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
      "typeVersion": 1,
      "position": [
        960,
        -304
      ],
      "id": "38143c18-f6cb-408c-9c3d-882edb2d1620",
      "name": "Message a model"
    },
    {
      "parameters": {
        "jsCode": "const aiResponse = $input.first().json;\nconst userInput = $('Collect User Requirements').item.json;\nconst topProducts = $('Code').all();\n\n// Extract the recommendation text\nconst recommendation = aiResponse.content?.parts?.[0]?.text || \n                      aiResponse.content?.text || \n                      aiResponse.text ||\n                      JSON.stringify(aiResponse);\n\nreturn [{\n  json: {\n    success: true,\n    timestamp: new Date().toISOString(),\n    sprint_version: \"1.0 - Industry Specific Product Recommendation Agent\",\n    \n    user_requirements: userInput,\n    \n    top_products: topProducts.map(p => p.json),\n    \n    ai_recommendation: recommendation,\n    \n    summary: \"AI-powered industry-specific product recommendations for SaaS businesses\"\n  }\n}];"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1392,
        -304
      ],
      "id": "bbc6d8f9-d7d4-4a7f-88fc-f7415daba973",
      "name": "Code1"
    },
    {
      "parameters": {
        "fromEmail": "REPLACE_WITH_FROMEMAIL",
        "toEmail": "REPLACE_WITH_TOEMAIL",
        "subject": "Your Personalized SaaS Product Recommendations",
        "html": "=<h2>🎯 Your Personalized SaaS Product Recommendations</h2>\n\n<p><strong>Based on Your Requirements:</strong></p>\n<ul>\n  <li><strong>Query:</strong> {{ $input.first().json.user_requirements.query }}</li>\n  <li><strong>Budget:</strong> {{ $input.first().json.user_requirements.budget }}</li>\n  <li><strong>Company Size:</strong> {{ $input.first().json.user_requirements.company_size }}</li>\n  <li><strong>Industry:</strong> {{ $input.first().json.user_requirements.industry }}</li>\n  <li><strong>Required Features:</strong> {{ $input.first().json.user_requirements.required_features }}</li>\n</ul>\n\n<hr>\n\n<h3>📊 Top 3 Recommended Products:</h3>\n\n{{ $input.first().json.top_products.slice(0, 3).map((item, i) => `\n<div style=\"border: 2px solid #4CAF50; border-radius: 8px; padding: 20px; margin: 15px 0; background-color: #f9f9f9;\">\n  <h4 style=\"color: #4CAF50; margin-top: 0;\">${i+1}. ${item.product_name} (${item.category})</h4>\n  <p><strong>💰 Price:</strong> ${item.price_range}</p>\n  <p><strong>⭐ Rating:</strong> ${item.user_rating}/5.0</p>\n  <p><strong>🎯 Match Score:</strong> ${item.score}/100</p>\n  <p><strong>🎯 Target Size:</strong> ${item.target_company_size}</p>\n  <p><strong>📝 Description:</strong> ${item.description}</p>\n  <p><strong>✨ Key Features:</strong> ${item.key_features}</p>\n</div>\n`).join('') }}\n\n<hr>\n\n<h3>🤖 AI Analysis:</h3>\n<div style=\"background-color: #e3f2fd; padding: 15px; border-radius: 5px; margin: 15px 0;\">\n  <p style=\"white-space: pre-wrap;\">${ $input.first().json.ai_recommendation.substring(0, 1000) }...</p>\n  <p><em>Full detailed analysis available in the complete report.</em></p>\n</div>\n\n<hr>\n\n<p style=\"text-align: center; color: #888; margin-top: 30px;\">\n  <em>🚀 Powered by AI Product Recommendation Agent - Sprint 1</em><br>\n  <small>Generated on: {{ $input.first().json.timestamp }}</small>\n</p>",
        "options": {}
      },
      "type": "n8n-nodes-base.emailSend",
      "typeVersion": 2.1,
      "position": [
        1568,
        -304
      ],
      "id": "17353e12-8535-42fc-8280-8459bce94261",
      "name": "Send email"
    },
    {
      "id": "01a30c2b-46c1-562a-bc00-195e395a82ff",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -800,
        -512
      ],
      "parameters": {
        "content": "# My workflow 4\n\n## Purpose and structure\nThis folder contains the **My workflow 4** workflow. Its executable nodes use `code`, `emailSend`, `googleGemini`, `manualTrigger`, `postgres`, `set`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen clicking ‘Execute workflow’\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nNik Bear Brown; rights confirmed 2026-10-19\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "When clicking ‘Execute workflow’": {
      "main": [
        [
          {
            "node": "Collect User Requirements",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Collect User Requirements": {
      "main": [
        [
          {
            "node": "Execute a SQL query2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Execute a SQL query2": {
      "main": [
        [
          {
            "node": "Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code": {
      "main": [
        [
          {
            "node": "Message a model",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Message a model": {
      "main": [
        [
          {
            "node": "Code1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code1": {
      "main": [
        [
          {
            "node": "Send email",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  }
}