Ayush3.1

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 →

{
  "name": "ayush3.1",
  "nodes": [
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        -544,
        -208
      ],
      "id": "9c14ea20-019f-4d75-924c-41e975118eee",
      "name": "When clicking \u2018Execute workflow\u2019"
    },
    {
      "parameters": {
        "url": "https://serpapi.com/search.json",
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "engine",
              "value": "google"
            },
            {
              "name": "q",
              "value": "=US federal holidays near {{$json.release_date}}"
            },
            {
              "name": "api_key",
              "value": "7960458d7231858baf19427ecbe5d00ce419bcfe05744a3c74352c39148809e7"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        -48,
        -304
      ],
      "id": "621324dc-45f7-4221-8692-033dcb84690c",
      "name": "Search Holidays"
    },
    {
      "parameters": {
        "url": "https://serpapi.com/search.json",
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "engine",
              "value": "google"
            },
            {
              "name": "q",
              "value": "=major {{$json.genre}} book releases around {{$json.release_date}}"
            },
            {
              "name": "api_key",
              "value": "7960458d7231858baf19427ecbe5d00ce419bcfe05744a3c74352c39148809e7"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        -48,
        -96
      ],
      "id": "d250e410-381d-48f3-b2ad-acec0320abcf",
      "name": "Search Competition"
    },
    {
      "parameters": {
        "sendTo": "ayushmishra0813@gmail.com",
        "subject": "=Book Intelligence Report | {{ $('Fields').first().json.title }}\n\n",
        "message": "=<h2>\ud83d\udcda Book Intelligence Report</h2>\n\n<p><strong>Title:</strong> {{ $('Fields').first().json.title }}</p>\n<p><strong>Author:</strong> {{ $('Fields').first().json.author }}</p>\n<p><strong>Genre:</strong> {{ $('Fields').first().json.genre }}</p>\n<p><strong>Release Date:</strong> {{ $('Fields').first().json.release_date }}</p>\n\n<hr>\n\n<h3>\ud83d\udcca Release Timing Assessment</h3>\n\n<p><strong>Overall Release Timing Score:</strong> {{ $json.output.overall_release_timing_score }}/100</p>\n\n<p><strong>Opportunity Level:</strong> {{ $json.output.opportunity_level }}</p>\n\n<p><strong>Risk Level:</strong> {{ $json.output.risk_level }}</p>\n\n<p><strong>Nearest Holiday:</strong> {{ $json.output.nearest_holiday }}</p>\n\n<p><strong>Holiday Score:</strong> {{ $json.output.holiday_score }}/20</p>\n\n<p><strong>Competition Level:</strong> {{ $json.output.competition_level }}</p>\n\n<p><strong>Competition Score:</strong> {{ $json.output.competition_score }}/20</p>\n\n<p><strong>Sports Impact Score:</strong> {{ $json.output.sports_score }}/20</p>\n\n<hr>\n\n<h3>\ud83d\udcc5 Nearby Holidays</h3>\n\n<ul>\n<li>\n<strong>{{ $json.output.nearby_holidays[0].holiday_name }}</strong>\n({{ $json.output.nearby_holidays[0].priority }})\n<br>\n{{ $json.output.nearby_holidays[0].reason }}\n</li>\n\n<li>\n<strong>{{ $json.output.nearby_holidays[1].holiday_name }}</strong>\n({{ $json.output.nearby_holidays[1].priority }})\n<br>\n{{ $json.output.nearby_holidays[1].reason }}\n</li>\n\n<li>\n<strong>{{ $json.output.nearby_holidays[2].holiday_name }}</strong>\n({{ $json.output.nearby_holidays[2].priority }})\n<br>\n{{ $json.output.nearby_holidays[2].reason }}\n</li>\n</ul>\n\n<hr>\n\n<h3>\ud83d\udcd6 Example Competing Titles</h3>\n\n<ul>\n<li><strong>{{ $json.output.example_competitors[0].title }}</strong> \u2014 {{ $json.output.example_competitors[0].reason }}</li>\n<li><strong>{{ $json.output.example_competitors[1].title }}</strong> \u2014 {{ $json.output.example_competitors[1].reason }}</li>\n<li><strong>{{ $json.output.example_competitors[2].title }}</strong> \u2014 {{ $json.output.example_competitors[2].reason }}</li>\n</ul>\n\n<hr>\n\n<h3>\ud83c\udfc6 Major Sports Events</h3>\n\n<ul>\n<li>\n<strong>{{ $json.output.major_sports_events[0].event_name }}</strong>\n({{ $json.output.major_sports_events[0].priority }})\n<br>\n{{ $json.output.major_sports_events[0].impact }}\n</li>\n\n<li>\n<strong>{{ $json.output.major_sports_events[1].event_name }}</strong>\n({{ $json.output.major_sports_events[1].priority }})\n<br>\n{{ $json.output.major_sports_events[1].impact }}\n</li>\n\n<li>\n<strong>{{ $json.output.major_sports_events[2].event_name }}</strong>\n({{ $json.output.major_sports_events[2].priority }})\n<br>\n{{ $json.output.major_sports_events[2].impact }}\n</li>\n\n<li>\n<strong>{{ $json.output.major_sports_events[3].event_name }}</strong>\n({{ $json.output.major_sports_events[3].priority }})\n<br>\n{{ $json.output.major_sports_events[3].impact }}\n</li>\n</ul>\n\n<hr>\n\n<h3>\ud83d\udcc8 Sales Forecast Assessment</h3>\n\n<p><strong>Author Popularity Score:</strong> {{ $json.output.author_popularity_score }}/20</p>\n\n<p><strong>Popularity Level:</strong> {{ $json.output.popularity_level }}</p>\n\n<p><strong>Market Demand Score:</strong> {{ $json.output.market_demand_score }}/20</p>\n\n<p><strong>Sell-Through Potential:</strong> {{ $json.output.sell_through_potential }}</p>\n\n<p><strong>Sales Potential:</strong> {{ $json.output.sales_potential }}</p>\n\n<p><strong>Forecast Confidence:</strong> {{ $json.output.forecast_confidence }}</p>\n\n<hr>\n\n<h3>\ud83d\udcda Comparable Titles</h3>\n\n<ul>\n<li>{{ $json.output.comparable_titles[0] }}</li>\n<li>{{ $json.output.comparable_titles[1] }}</li>\n<li>{{ $json.output.comparable_titles[2] }}</li>\n</ul>\n\n<hr>\n\n<h3>\ud83d\udcb0 Estimated First-Year Sales</h3>\n\n<ul>\n<li><strong>Low Estimate:</strong> {{ $json.output.estimated_first_year_sales.low }}</li>\n\n<li><strong>Expected Estimate:</strong> {{ $json.output.estimated_first_year_sales.expected }}</li>\n\n<li><strong>High Estimate:</strong> {{ $json.output.estimated_first_year_sales.high }}</li>\n</ul>\n\n<hr>\n\n<h3>\u2705 Final Recommendation</h3>\n\n<p>{{ $json.output.final_recommendation }}</p>\n\n<h3>\ud83d\udccb Executive Summary</h3>\n\n<p>{{ $json.output.executive_summary }}</p>\n\n<h3>\ud83d\udcdd Forecast Analysis</h3>\n\n<p>{{ $json.output.reasoning }}</p>\n\n<hr>\n\n<p><em>Generated automatically by the Book Intelligence Analyzer using release timing, competition, sports-event visibility, author popularity, comparable-title performance, and market-demand forecasting.</em></p>",
        "options": {
          "appendAttribution": false
        }
      },
      "type": "n8n-nodes-base.gmail",
      "typeVersion": 2.2,
      "position": [
        1264,
        -560
      ],
      "id": "60d5f6fa-c223-4e78-983c-eff6cbc2caec",
      "name": "Send a message",
      "credentials": {
        "gmailOAuth2": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "c4aab37b-75f0-4375-b756-939aa8db952f",
              "name": "title",
              "value": "Villa Coco",
              "type": "string"
            },
            {
              "id": "23046251-5513-4255-9f5b-894f4be0c75e",
              "name": "genre",
              "value": "Fiction",
              "type": "string"
            },
            {
              "id": "59619ed0-777e-4713-aa16-e8eab3c8570e",
              "name": "target_market",
              "value": "USA",
              "type": "string"
            },
            {
              "id": "eba27231-a518-48c2-b85a-e6c9f6bc5307",
              "name": "release_date",
              "value": "2026-06-09",
              "type": "string"
            },
            {
              "id": "749c80cf-4d1d-4547-a07a-9476fe2ce050",
              "name": "author",
              "value": "Andrew Sean Greer",
              "type": "string"
            },
            {
              "id": "77cd6c83-440d-4138-9283-4733ec88eb95",
              "name": "publisher",
              "value": "Doubleday",
              "type": "string"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        -336,
        -208
      ],
      "id": "01a15043-082a-43c3-84f8-45121202adff",
      "name": "Fields"
    },
    {
      "parameters": {
        "url": "https://serpapi.com/search.json",
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "engine",
              "value": "google"
            },
            {
              "name": "q",
              "value": "=major US sports events around {{ $('Fields').item.json.release_date }}"
            },
            {
              "name": "api_key",
              "value": "7960458d7231858baf19427ecbe5d00ce419bcfe05744a3c74352c39148809e7"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        -48,
        96
      ],
      "id": "7a5850e1-3b76-433b-85e2-fa93a5f17109",
      "name": "Search Sports Events"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=You are a senior publishing market analyst specializing in U.S. book launches.\n\nBOOK DETAILS\n\nTitle:\n{{ $('Fields').first().json.title }}\n\nGenre:\n{{ $('Fields').first().json.genre }}\n\nRelease Date:\n{{ $('Fields').first().json.release_date }}\n\nTASK\n\n1. Identify the nearest major U.S. holiday.\n2. Assign a holiday score (0-20).\n\n3. Return EXACTLY 3 nearby holidays ranked by relevance.\n\nFor each holiday provide:\n- holiday_name\n- priority (High, Medium, Low)\n- reason\n\n4. Analyze release competition.\n\n5. Return EXACTLY 3 competing books.\n\nFor each competitor provide:\n- title\n- reason (max 15 words)\n\n6. Assign competition score (0-20).\n7. Determine competition level.\n\n8. Analyze sports events occurring within 14 days of release.\n\n9. Return EXACTLY 5 sports events.\n\nFor each sports event provide:\n- event_name\n- priority (High, Medium, Low)\n- impact (max 20 words)\n\n10. Assign sports score (0-20).\n\n11. Calculate overall release timing score (0-100).\n\n12. Determine:\n- opportunity_level\n- risk_level\n\n13. Provide:\n- final_recommendation (max 60 words)\n- executive_summary (max 40 words)\n\nIMPORTANT\n\nPriority definitions:\n\nHIGH:\nLikely to significantly influence consumer attention or book sales.\n\nMEDIUM:\nModerate influence.\n\nLOW:\nLimited influence.\n\nThe following fields are mandatory:\n\n- nearest_holiday\n- holiday_score\n- nearby_holidays\n- competition_level\n- competition_score\n- example_competitors\n- sports_score\n- major_sports_events\n- overall_release_timing_score\n- opportunity_level\n- risk_level\n- final_recommendation\n- executive_summary\n\nReturn ONLY valid JSON.\nNo markdown.\nNo explanations.",
        "hasOutputParser": true,
        "batching": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "typeVersion": 1.9,
      "position": [
        640,
        -304
      ],
      "id": "20159ffa-429b-444f-9125-7f85a9fa4800",
      "name": "Basic LLM Chain"
    },
    {
      "parameters": {
        "model": "gpt-5.4",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
      "typeVersion": 1,
      "position": [
        624,
        -128
      ],
      "id": "2354da0b-d642-4c21-86e1-1cf4009b681d",
      "name": "Azure OpenAI Chat Model",
      "credentials": {
        "azureOpenAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "numberInputs": 3,
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.2,
      "position": [
        352,
        -208
      ],
      "id": "0aafbfff-fef3-47d7-a8ca-680ac2cb1372",
      "name": "Merge"
    },
    {
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"nearest_holiday\": \"\",\n  \"holiday_score\": 0,\n\n  \"nearby_holidays\": [\n    {\n      \"holiday_name\": \"\",\n      \"priority\": \"\",\n      \"reason\": \"\"\n    },\n    {\n      \"holiday_name\": \"\",\n      \"priority\": \"\",\n      \"reason\": \"\"\n    },\n    {\n      \"holiday_name\": \"\",\n      \"priority\": \"\",\n      \"reason\": \"\"\n    }\n  ],\n\n  \"competition_level\": \"\",\n  \"competition_score\": 0,\n\n  \"example_competitors\": [\n    {\n      \"title\": \"\",\n      \"reason\": \"\"\n    },\n    {\n      \"title\": \"\",\n      \"reason\": \"\"\n    },\n    {\n      \"title\": \"\",\n      \"reason\": \"\"\n    },\n    {\n      \"title\": \"\",\n      \"reason\": \"\"\n    }\n  ],\n\n  \"sports_score\": 0,\n\n  \"major_sports_events\": [\n    {\n      \"event_name\": \"\",\n      \"priority\": \"\",\n      \"impact\": \"\"\n    },\n    {\n      \"event_name\": \"\",\n      \"priority\": \"\",\n      \"impact\": \"\"\n    },\n    {\n      \"event_name\": \"\",\n      \"priority\": \"\",\n      \"impact\": \"\"\n    },\n    {\n      \"event_name\": \"\",\n      \"priority\": \"\",\n      \"impact\": \"\"\n    }\n  ],\n\n  \"overall_release_timing_score\": 0,\n  \"opportunity_level\": \"\",\n  \"risk_level\": \"\",\n\n  \"final_recommendation\": \"\",\n  \"executive_summary\": \"\"\n}"
      },
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "typeVersion": 1.3,
      "position": [
        784,
        -128
      ],
      "id": "5191865a-1338-427e-bb71-61938907639e",
      "name": "Structured Output Parser"
    },
    {
      "parameters": {
        "url": "https://serpapi.com/search.json",
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "engine",
              "value": "google"
            },
            {
              "name": "q",
              "value": "={{ $('Fields').first().json.author }} author books sales popularity"
            },
            {
              "name": "num",
              "value": "10"
            },
            {
              "name": "api_key",
              "value": "7960458d7231858baf19427ecbe5d00ce419bcfe05744a3c74352c39148809e7"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        -112,
        -512
      ],
      "id": "3b3823bd-02ab-4394-aa18-d27a4095a0e3",
      "name": "Search Author Popularity"
    },
    {
      "parameters": {
        "url": "https://serpapi.com/search.json",
        "sendQuery": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "engine",
              "value": "google"
            },
            {
              "name": "q",
              "value": "={{ $('Fields').first().json.genre }} bestselling books 2025 2026"
            },
            {
              "name": "api_key",
              "value": "7960458d7231858baf19427ecbe5d00ce419bcfe05744a3c74352c39148809e7"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        -128,
        -704
      ],
      "id": "2138b04e-aae1-42fc-b32e-adc339438339",
      "name": "Search Comparable Books"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=BOOK DETAILS\n\nTitle:\n{{ $('Fields').first().json.title }}\n\nAuthor:\n{{ $('Fields').first().json.author }}\n\nGenre:\n{{ $('Fields').first().json.genre }}\n\nRelease Date:\n{{ $('Fields').first().json.release_date }}\n\nAUTHOR SEARCH RESULTS\n\n{{ JSON.stringify($json.organic_results) }}\n\nCOMPARABLE BOOK SEARCH RESULTS\n\n{{ JSON.stringify($json.organic_results_1 || $json.organic_results) }}\n\nTASK\n\n1. Evaluate author popularity.\n2. Identify 3 comparable books.\n3. Estimate market demand.\n4. Estimate sales potential.\n\nForecast Analysis Requirements:\n\n- Keep the reasoning concise.\n- Limit the reasoning to a maximum of 120 words.\n- Focus only on the most important drivers of the forecast.\n- Avoid repeating information already reflected in the scores or sales estimates.\n\nIMPORTANT\n\nestimated_first_year_sales MUST ALWAYS contain:\n\n{\n  \"low\": number,\n  \"expected\": number,\n  \"high\": number\n}\n\nDo not return ebook, audiobook, hardcover, international, total_units, or any other structure.\n\nUse total first-year units sold across all formats.\n\nReturn EXACTLY 3 comparable titles.\n\nFormat each as:\n\"Book Title by Author Name\"\n\nExample:\n\"The Midnight Library by Matt Haig\"\n\nReturn:\n\n- author_popularity_score (0-20)\n- popularity_level\n- market_demand_score (0-20)\n- sell_through_potential\n- comparable_titles\n- sales_potential\n- forecast_confidence\n- estimated_first_year_sales\n- reasoning\n\nReturn JSON only.",
        "hasOutputParser": true,
        "messages": {
          "messageValues": [
            {
              "message": "You are a professional publishing market analyst and sales forecasting expert.  Analyze author popularity, comparable titles, market demand, and likely commercial performance.  Provide realistic and evidence-based estimates.  Return only valid JSON matching the required schema."
            }
          ]
        },
        "batching": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "typeVersion": 1.9,
      "position": [
        464,
        -736
      ],
      "id": "171211d9-c556-4de1-9eef-90d4f0699dc3",
      "name": "Comparable Books Analysis"
    },
    {
      "parameters": {
        "model": "gpt-5.4",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
      "typeVersion": 1,
      "position": [
        496,
        -576
      ],
      "id": "b040db0e-0d57-4b12-817e-34641e003c81",
      "name": "Azure OpenAI Chat Model2",
      "credentials": {
        "azureOpenAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.2,
      "position": [
        224,
        -672
      ],
      "id": "0c2146b9-03f6-4bcc-98bf-2d9155f20140",
      "name": "Merge1"
    },
    {
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"author_popularity_score\": 0,\n  \"popularity_level\": \"\",\n\n  \"market_demand_score\": 0,\n  \"sell_through_potential\": \"\",\n\n  \"comparable_titles\": [\n    \"\",\n    \"\",\n    \"\"\n  ],\n\n  \"sales_potential\": \"\",\n  \"forecast_confidence\": \"\",\n\n  \"estimated_first_year_sales\": {\n    \"low\": 0,\n    \"expected\": 0,\n    \"high\": 0\n  },\n\n  \"reasoning\": \"\"\n}"
      },
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "typeVersion": 1.3,
      "position": [
        640,
        -592
      ],
      "id": "98c13835-a360-47ce-9172-95ec4d94df06",
      "name": "Structured Output Parser1",
      "retryOnFail": true,
      "waitBetweenTries": 5000
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.2,
      "position": [
        1040,
        -560
      ],
      "id": "4a578b73-6710-4f0a-8664-673ae778db57",
      "name": "Merge2"
    }
  ],
  "connections": {
    "When clicking \u2018Execute workflow\u2019": {
      "main": [
        [
          {
            "node": "Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Search Holidays": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Search Competition": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Fields": {
      "main": [
        [
          {
            "node": "Search Holidays",
            "type": "main",
            "index": 0
          },
          {
            "node": "Search Competition",
            "type": "main",
            "index": 0
          },
          {
            "node": "Search Sports Events",
            "type": "main",
            "index": 0
          },
          {
            "node": "Search Author Popularity",
            "type": "main",
            "index": 0
          },
          {
            "node": "Search Comparable Books",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Search Sports Events": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 2
          }
        ]
      ]
    },
    "Azure OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Merge": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Merge2",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Search Author Popularity": {
      "main": [
        [
          {
            "node": "Merge1",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Search Comparable Books": {
      "main": [
        [
          {
            "node": "Merge1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Azure OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Comparable Books Analysis",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Merge1": {
      "main": [
        [
          {
            "node": "Comparable Books Analysis",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Comparable Books Analysis": {
      "main": [
        [
          {
            "node": "Merge2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser1": {
      "ai_outputParser": [
        [
          {
            "node": "Comparable Books Analysis",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Send a message": {
      "main": [
        []
      ]
    },
    "Merge2": {
      "main": [
        [
          {
            "node": "Send a message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate"
  },
  "versionId": "dfa4adf9-b845-480c-ab14-4716d55995b2",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "TKr8m05ADHQVIoiU",
  "tags": []
}

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.

• azureOpenAiApi
• gmailOAuth2

About this workflow

ayush3.1. Uses httpRequest, gmail, chainLlm, lmChatAzureOpenAi. Event-driven trigger; 17 nodes.

Source: https://github.com/ayush-ai-consultant/book-release-timing-analyzer/blob/main/book-release-timing-analyzer.json — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.