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CallForge - 08 - Produkt-KI-Datenverarbeiter

Experte

Dies ist ein Automatisierungsworkflow mit 19 Nodes. Hauptsächlich werden If, Set, Wait, Notion, SplitOut und andere Nodes verwendet. CallForge - 08 - Produktdaten-KI-Verarbeiter

Voraussetzungen
  • •Notion API Key

Verwendete Nodes (19)

If
Set
Wait
Notion
SplitOut
Aggregate
StickyNote
ExecuteWorkflowTrigger

Kategorie

-
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "meta": {
    "instanceId": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "a2061232-329f-4288-9b01-ba832463c31e",
      "name": "Workflow-Ausführungs-Trigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        2280,
        -400
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "42df9296-82ac-44cd-8370-50e4507fb91d",
      "name": "Check if Product Data Found",
      "type": "n8n-nodes-base.if",
      "position": [
        2800,
        -340
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "1a67895e-3ab7-4c93-8e16-202b3882ded5",
              "operator": {
                "type": "array",
                "operation": "lengthGte",
                "rightType": "number"
              },
              "leftValue": "={{ $json.AIoutput.ProductFeedback }}",
              "rightValue": 1
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "84e93120-92d8-45fd-bb63-8626743e7fe0",
      "name": "Haftnotiz4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2720,
        -580
      ],
      "parameters": {
        "color": 7,
        "width": 1340,
        "height": 440,
        "content": "## Product Data Processing"
      },
      "typeVersion": 1
    },
    {
      "id": "5cb1df66-abba-4d82-8fe5-c2313c8f7b44",
      "name": "Haftnotiz6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2140,
        -760
      ],
      "parameters": {
        "color": 7,
        "width": 560,
        "height": 620,
        "content": "## Receives AI Data from other workflow\n"
      },
      "typeVersion": 1
    },
    {
      "id": "7c046627-f418-4b7e-aa5b-7cff69f98f59",
      "name": "Haftnotiz7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1780,
        -960
      ],
      "parameters": {
        "width": 340,
        "height": 820,
        "content": "![Callforge](https://uploads.n8n.io/templates/callforgeshadow.png)\n## CallForge - The AI Gong Sales Call Processor\nCallForge allows you to extract important information for different departments from your Sales Gong Calls. \n\n### AI Output Processor\nOnce the AI data is generated, it is then added (or not!) to the Notion Database here. This is also where the Pipedrive or Salesforce integration will be added once that portion is complete. "
      },
      "typeVersion": 1
    },
    {
      "id": "a04dac9d-5477-41a3-8696-1871c1cccf53",
      "name": "Create Product Data Object1",
      "type": "n8n-nodes-base.notion",
      "position": [
        3280,
        -940
      ],
      "parameters": {
        "title": "={{ $('Execute Workflow Trigger').item.json.metaData.title }}",
        "options": {
          "icon": "💬"
        },
        "resource": "databasePage",
        "databaseId": {
          "__rl": true,
          "mode": "list",
          "value": "1775b6e0-c94f-80ac-9885-d9695af5bc89",
          "cachedResultUrl": "https://www.notion.so/1775b6e0c94f80ac9885d9695af5bc89",
          "cachedResultName": "AI use-case database"
        },
        "propertiesUi": {
          "propertyValues": [
            {
              "key": "Company|title",
              "title": "={{ $json.metaData.CompanyName }}"
            },
            {
              "key": "Department|multi_select",
              "multiSelectValue": "={{ $json.AIoutput.AI_ML_References.Details.Department }}"
            },
            {
              "key": "Dev status|select",
              "selectValue": "={{ $json.AIoutput.AI_ML_References.Details.DevelopmentStatus }}"
            },
            {
              "key": "Employees|select",
              "selectValue": "={{ $json.sfOpp[0].Employees }}"
            },
            {
              "key": "Engagement with n8n|select",
              "selectValue": "Prospect"
            },
            {
              "key": "Requires agents|checkbox",
              "checkboxValue": "={{ $json.AIoutput.AI_ML_References.Details.RequiresAgents }}"
            },
            {
              "key": "More info|url",
              "urlValue": "={{ $json.metaData.url }}"
            },
            {
              "key": "Requires RAG|checkbox",
              "checkboxValue": "={{ $json.AIoutput.AI_ML_References.Details.RequiresRAG }}"
            },
            {
              "key": "Requires chat|select",
              "selectValue": "={{ $json.AIoutput.AI_ML_References.Details.RequiresChat }}"
            },
            {
              "key": "Use case|rich_text",
              "textContent": "={{ $json.AIoutput.AI_ML_References.Context }}"
            }
          ]
        }
      },
      "credentials": {
        "notionApi": {
          "id": "2B3YIiD4FMsF9Rjn",
          "name": "Angelbot Notion"
        }
      },
      "retryOnFail": true,
      "typeVersion": 2.2,
      "waitBetweenTries": 3000
    },
    {
      "id": "66c252a9-e330-4742-84d1-d17042585f79",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2720,
        -1040
      ],
      "parameters": {
        "color": 7,
        "width": 1340,
        "height": 440,
        "content": "## AI use Case "
      },
      "typeVersion": 1
    },
    {
      "id": "caded10f-8662-4a2b-ab47-b1a825c39c4b",
      "name": "Haftnotiz5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2720,
        -120
      ],
      "parameters": {
        "color": 7,
        "width": 1340,
        "height": 360,
        "content": "## AI Mentioned on call"
      },
      "typeVersion": 1
    },
    {
      "id": "750c2853-3653-4557-b636-354fd91f846b",
      "name": "Create Product Feedback Data Object",
      "type": "n8n-nodes-base.notion",
      "position": [
        3440,
        -480
      ],
      "parameters": {
        "title": "={{ $('Execute Workflow Trigger').item.json.metaData.title }}",
        "options": {
          "icon": "💬"
        },
        "resource": "databasePage",
        "databaseId": {
          "__rl": true,
          "mode": "list",
          "value": "1375b6e0-c94f-80a8-93c9-c623b76dd14a",
          "cachedResultUrl": "https://www.notion.so/1375b6e0c94f80a893c9c623b76dd14a",
          "cachedResultName": "Product Feedback"
        },
        "propertiesUi": {
          "propertyValues": [
            {
              "key": "Sentiment|multi_select",
              "multiSelectValue": "={{ $json.Sentiment }}"
            },
            {
              "key": "Feedback|title",
              "title": "={{ $json.Feedback }}"
            },
            {
              "key": "Feedback Date|date",
              "date": "={{ $('Execute Workflow Trigger').item.json.metaData.started }}"
            },
            {
              "key": "Sales Call Summaries|relation",
              "relationValue": [
                "={{ $('Execute Workflow Trigger').item.json.notionData[0].id }}"
              ]
            }
          ]
        }
      },
      "credentials": {
        "notionApi": {
          "id": "80",
          "name": "Notion david-internal"
        }
      },
      "retryOnFail": true,
      "typeVersion": 2.2,
      "waitBetweenTries": 3000
    },
    {
      "id": "343f536f-2aa3-4fc9-9c75-e288a5019b84",
      "name": "Check if AI Use Case Data Found",
      "type": "n8n-nodes-base.if",
      "position": [
        2800,
        -800
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "1a67895e-3ab7-4c93-8e16-202b3882ded5",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.AIoutput.AI_ML_References.Exist }}",
              "rightValue": 1
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "3d261de2-61fe-40e8-806b-f311b72081f0",
      "name": "Check if AI Mentioned On Call",
      "type": "n8n-nodes-base.if",
      "position": [
        2860,
        40
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "1a67895e-3ab7-4c93-8e16-202b3882ded5",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.AIoutput.AI_ML_References.Exist }}",
              "rightValue": 1
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "e422c25b-05c0-4549-a12b-50b727cbcb83",
      "name": "Warten for rate limiting - AI Use Case",
      "type": "n8n-nodes-base.wait",
      "position": [
        3020,
        -940
      ],
      "webhookId": "a26d4c04-4092-45fb-9ba3-d6c70ac0934c",
      "parameters": {
        "amount": 3
      },
      "typeVersion": 1.1
    },
    {
      "id": "9ceb4ac2-6539-4c19-b207-883d61670c07",
      "name": "Warten for rate limiting - Product Data",
      "type": "n8n-nodes-base.wait",
      "position": [
        3020,
        -480
      ],
      "webhookId": "04bed240-5bae-4524-bb6f-011d8a6e1431",
      "parameters": {
        "amount": 3
      },
      "typeVersion": 1.1
    },
    {
      "id": "61d6864c-a7fa-488e-a252-f60b497de675",
      "name": "Split Out Product Data",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        3220,
        -480
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "AIoutput.ProductFeedback"
      },
      "typeVersion": 1
    },
    {
      "id": "49bd2056-4eeb-43d7-a210-e4b777fd8535",
      "name": "Bundle AI Use Case Data to 1 object",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        3540,
        -940
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "tagdata"
      },
      "typeVersion": 1
    },
    {
      "id": "ce6e127d-9ff0-493c-bb47-02c30594f0e2",
      "name": "Bundle Product Feedback Data to 1 object",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        3660,
        -480
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "tagdata"
      },
      "typeVersion": 1
    },
    {
      "id": "ce06a39c-8066-4a3a-9ef4-b8bf6d14273a",
      "name": "Zusammenführen AI Use Case Thread",
      "type": "n8n-nodes-base.set",
      "position": [
        3860,
        -780
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "d8fc65ad-2b05-40c1-84c7-7bda819f0f1f",
              "name": "aiResponse",
              "type": "object",
              "value": "={{ $('Execute Workflow Trigger').item.json.aiResponse }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "1d64eff6-442a-4f71-a497-d6261bf4753f",
      "name": "Zusammenführen Product Feedback Thread",
      "type": "n8n-nodes-base.set",
      "position": [
        3880,
        -320
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "d8fc65ad-2b05-40c1-84c7-7bda819f0f1f",
              "name": "aiResponse",
              "type": "object",
              "value": "={{ $('Execute Workflow Trigger').item.json.aiResponse }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "50116044-d468-4f07-a711-8373c1b26e94",
      "name": "Update Call with AI Data Summary",
      "type": "n8n-nodes-base.notion",
      "position": [
        3180,
        -40
      ],
      "parameters": {
        "pageId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $('Execute Workflow Trigger').item.json.notionData[0].id }}"
        },
        "options": {},
        "resource": "databasePage",
        "operation": "update",
        "propertiesUi": {
          "propertyValues": [
            {
              "key": "AI Related|checkbox",
              "checkboxValue": "={{ $json.AIoutput.AI_ML_References.Exist }}"
            },
            {
              "key": "AI Summary|rich_text",
              "textContent": "={{ $json.AIoutput.AI_ML_References.Context }}"
            }
          ]
        }
      },
      "credentials": {
        "notionApi": {
          "id": "80",
          "name": "Notion david-internal"
        }
      },
      "retryOnFail": true,
      "typeVersion": 2.2,
      "waitBetweenTries": 3000
    }
  ],
  "pinData": {},
  "connections": {
    "61d6864c-a7fa-488e-a252-f60b497de675": {
      "main": [
        [
          {
            "node": "750c2853-3653-4557-b636-354fd91f846b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Execute Workflow Trigger": {
      "main": [
        [
          {
            "node": "42df9296-82ac-44cd-8370-50e4507fb91d",
            "type": "main",
            "index": 0
          },
          {
            "node": "343f536f-2aa3-4fc9-9c75-e288a5019b84",
            "type": "main",
            "index": 0
          },
          {
            "node": "3d261de2-61fe-40e8-806b-f311b72081f0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "42df9296-82ac-44cd-8370-50e4507fb91d": {
      "main": [
        [
          {
            "node": "Wait for rate limiting - Product Data",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Merge Product Feedback Thread",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a04dac9d-5477-41a3-8696-1871c1cccf53": {
      "main": [
        [
          {
            "node": "49bd2056-4eeb-43d7-a210-e4b777fd8535",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3d261de2-61fe-40e8-806b-f311b72081f0": {
      "main": [
        [
          {
            "node": "50116044-d468-4f07-a711-8373c1b26e94",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Merge Product Feedback Thread": {
      "main": [
        []
      ]
    },
    "343f536f-2aa3-4fc9-9c75-e288a5019b84": {
      "main": [
        [
          {
            "node": "Wait for rate limiting - AI Use Case",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Merge AI Use Case Thread",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "49bd2056-4eeb-43d7-a210-e4b777fd8535": {
      "main": [
        [
          {
            "node": "Merge AI Use Case Thread",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "750c2853-3653-4557-b636-354fd91f846b": {
      "main": [
        [
          {
            "node": "ce6e127d-9ff0-493c-bb47-02c30594f0e2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait for rate limiting - AI Use Case": {
      "main": [
        [
          {
            "node": "a04dac9d-5477-41a3-8696-1871c1cccf53",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait for rate limiting - Product Data": {
      "main": [
        [
          {
            "node": "61d6864c-a7fa-488e-a252-f60b497de675",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ce6e127d-9ff0-493c-bb47-02c30594f0e2": {
      "main": [
        [
          {
            "node": "Merge Product Feedback Thread",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

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Anzahl der Nodes19
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Node-Typen8
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Autor
Angel Menendez

Angel Menendez

@djangelic

Angel Menendez is a Staff Developer Advocate at n8n.io, specializing in low-code tools for cybersecurity workflows. From Puerto Rico, Angel's tech journey began by helping his father translate technical books. He later started a web development business and transitioned from a career as a flight attendant to cybersecurity engineering. His workflows have saved companies significant time. Outside work, Angel enjoys time with his two sons, riding electric bikes, reading, and exploring new places.

Externe Links
Auf n8n.io ansehen →

Diesen Workflow teilen

Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
70
Ticketverwaltung
67
Sicherheitsbetrieb
57
Rechnungsverarbeitung
53
Krypto-Handel
49
Dateiverwaltung
39
Projektmanagement
35
Internes Wiki
32

Kategorien: 34