Proceso de reclutamiento impulsado por IA con GPT-4o-mini: de filtrado de CVs a agendamiento de entrevistas

Avanzado

Este es unHR, AI Summarizationflujo de automatización del dominio deautomatización que contiene 21 nodos.Utiliza principalmente nodos como Slack, Filter, Webhook, Airtable, EmailSend. Usar GPT-4o-mini en Airtable para automatizar contrataciones: desde el cribado de CVs hasta la programación de entrevistas

Requisitos previos
  • Bot Token de Slack o URL de Webhook
  • Punto final de HTTP Webhook (n8n generará automáticamente)
  • Clave de API de Airtable
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Clave de API de OpenAI
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "i7hRouNsQLAJJg4F",
  "meta": {
    "instanceId": "b91e510ebae4127f953fd2f5f8d40d58ca1e71c746d4500c12ae86aad04c1502"
  },
  "name": "AI-Powered GPT-4o-mini Recruitment Pipeline: CV Screening to Interview Scheduler",
  "tags": [],
  "nodes": [
    {
      "id": "2a69b990-5536-4825-81e2-682ef75fe7a2",
      "name": "Webhook - Recibir CV",
      "type": "n8n-nodes-base.webhook",
      "position": [
        112,
        352
      ],
      "webhookId": "21c60b52-4d15-48a2-9a70-d51be54905e1",
      "parameters": {
        "path": "candidate-cv",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "6e476a4e-e2bb-4298-9ddc-5829aeb8306f",
      "name": "Airtable - Almacenar Candidato",
      "type": "n8n-nodes-base.airtable",
      "position": [
        304,
        208
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appXXXXXXXXXXXXXX",
          "cachedResultName": "Candidates"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblCandidates",
          "cachedResultName": "Candidates"
        },
        "columns": {
          "value": {
            "Name": "={{ $json.body.name }}",
            "Email": "={{ $json.body.email }}",
            "Phone": "={{ $json.body.phone }}",
            "CV_URL": "={{ $json.body.cv_url }}",
            "Status": "New Application",
            "Application_Date": "={{ $now.toISO() }}",
            "Position_Applied": "={{ $json.body.position }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "create",
        "authentication": "oAuth2"
      },
      "typeVersion": 2
    },
    {
      "id": "56b8fd3c-8f51-44c5-a39c-80c002da4cc7",
      "name": "HTTP Solicitud - Descargar CV",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        272,
        432
      ],
      "parameters": {
        "url": "={{ $('Webhook - Receive CV').item.json.body.cv_url }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "477e1bb2-ddce-4655-b148-5eddff7a0672",
      "name": "IA - Extraer Datos del CV",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        400,
        432
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "0fdb2b79-b63d-42be-9ddc-2cee4cf5a83c",
      "name": "OpenAI Modelo de Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        400,
        592
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "ea434fe7-5922-4413-9d94-a1bb049a1a13",
      "name": "Airtable - Obtener Requisitos del Puesto",
      "type": "n8n-nodes-base.airtable",
      "position": [
        464,
        224
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appXXXXXXXXXXXXXX",
          "cachedResultName": "Candidates"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblJobRequirements",
          "cachedResultName": "Job Requirements"
        },
        "options": {},
        "operation": "search",
        "authentication": "oAuth2",
        "filterByFormula": "=AND({Position}='{{ $('Webhook - Receive CV').item.json.body.position }}', {Active}=TRUE())"
      },
      "typeVersion": 2
    },
    {
      "id": "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57",
      "name": "Agente de IA - Evaluación de Calificación",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        704,
        352
      ],
      "parameters": {
        "text": "=You are a recruitment AI assistant. Analyze if this candidate matches the job requirements.\n\nCandidate Profile:\n{{ $json.text }}\n\nJob Requirements:\n- Position: {{ $('Airtable - Get Job Requirements').item.json.Position }}\n- Required Experience: {{ $('Airtable - Get Job Requirements').item.json.Required_Experience }} years\n- Required Skills: {{ $('Airtable - Get Job Requirements').item.json.Required_Skills }}\n- Education Required: {{ $('Airtable - Get Job Requirements').item.json.Education_Required }}\n- Nice to Have: {{ $('Airtable - Get Job Requirements').item.json.Nice_To_Have }}\n\nProvide:\n1. Match Score (0-100)\n2. Qualification Status (Highly Qualified / Qualified / Potentially Qualified / Not Qualified)\n3. Strengths (3 key points)\n4. Gaps (areas where candidate doesn't meet requirements)\n5. Recommendation (Interview / Phone Screen / Reject)\n\nFormat as JSON: {\"match_score\": number, \"status\": string, \"strengths\": [string], \"gaps\": [string], \"recommendation\": string, \"reasoning\": string}",
        "options": {
          "systemMessage": "You are an expert recruitment AI that provides objective, fair candidate assessments based on qualifications and job requirements."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.7
    },
    {
      "id": "2f34882a-fce9-4f89-9563-438f9aa82795",
      "name": "OpenAI Modelo de Chat de Evaluación",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        704,
        576
      ],
      "parameters": {
        "model": "gpt-4o",
        "options": {
          "temperature": 0.3
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c68e5f48-5033-45f5-b7a7-75bfa8f472b6",
      "name": "Analizador de Salida Estructurada",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        864,
        576
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "259d8989-fd79-402d-8993-00eafc43e86c",
      "name": "Airtable - Actualizar Evaluación",
      "type": "n8n-nodes-base.airtable",
      "position": [
        976,
        352
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appXXXXXXXXXXXXXX",
          "cachedResultName": "Candidates"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblCandidates",
          "cachedResultName": "Candidates"
        },
        "columns": {
          "value": {
            "Skills": "={{ $('AI - Extract CV Data').item.json.skills.join(', ') }}",
            "Status": "={{ $json.recommendation === 'Reject' ? 'Rejected' : 'Qualified' }}",
            "AI_Gaps": "={{ $json.gaps.join(', ') }}",
            "Education": "={{ $('AI - Extract CV Data').item.json.education }}",
            "Match_Score": "={{ $json.match_score }}",
            "AI_Reasoning": "={{ $json.reasoning }}",
            "AI_Strengths": "={{ $json.strengths.join(', ') }}",
            "Years_Experience": "={{ $('AI - Extract CV Data').item.json.years_experience }}",
            "AI_Recommendation": "={{ $json.recommendation }}",
            "Qualification_Status": "={{ $json.status }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "update",
        "authentication": "oAuth2"
      },
      "typeVersion": 2
    },
    {
      "id": "dda61fa4-8d96-40d3-aa9f-2feac1b03fe9",
      "name": "Filtro - Candidatos Calificados",
      "type": "n8n-nodes-base.filter",
      "position": [
        1136,
        224
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "f8db4e5d-3c5e-4e0a-a0a5-d4c8e2d0a3f1",
              "operator": {
                "type": "string",
                "operation": "notEquals"
              },
              "leftValue": "={{ $json.recommendation }}",
              "rightValue": "Reject"
            }
          ]
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "eb06c596-bfed-4bd2-8d5d-6eec33740b1b",
      "name": "Agente de IA - Generar Correo",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1296,
        224
      ],
      "parameters": {
        "text": "=Generate a personalized recruitment email for this candidate.\n\nCandidate: {{ $('Airtable - Store Candidate').item.json.Name }}\nPosition: {{ $('Webhook - Receive CV').item.json.body.position }}\nMatch Score: {{ $json.match_score }}\nStatus: {{ $json.status }}\nRecommendation: {{ $json.recommendation }}\n\nKey Strengths:\n{{ $json.strengths.join('\\n') }}\n\nEmail should:\n- Be professional and warm\n- Congratulate them on their application\n- Mention 1-2 specific strengths that stood out\n- {{ $json.recommendation === 'Interview' ? 'Invite them for a formal interview' : 'Suggest a preliminary phone screening' }}\n- Include next steps\n- Be concise (150-200 words)\n\nProvide: {\"subject\": string, \"body\": string}",
        "options": {
          "systemMessage": "You are a professional recruitment communications specialist. Write engaging, personalized emails that make candidates feel valued."
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "558ed33e-f2e1-41a6-af31-699ba4324675",
      "name": "OpenAI Modelo de Chat para Correo",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1296,
        448
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "OGYj7DgYv5GFLFZk",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "12222fa6-a277-4af1-8cbb-7b27c67ea2d0",
      "name": "Enviar Correo - Contactar Candidato",
      "type": "n8n-nodes-base.emailSend",
      "position": [
        1584,
        224
      ],
      "webhookId": "88019c7f-4d4b-4fda-af01-f3021ccb399c",
      "parameters": {
        "options": {},
        "subject": "={{ $json.subject }}",
        "toEmail": "={{ $('Airtable - Store Candidate').item.json.Email }}",
        "fromEmail": "recruitment@company.com"
      },
      "typeVersion": 2.1
    },
    {
      "id": "72a2753a-535f-4e77-9901-a4007124c76a",
      "name": "Filtro - Candidatos para Entrevista",
      "type": "n8n-nodes-base.filter",
      "position": [
        1760,
        224
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "a2c4f6e8-1b3d-4a7c-9e5f-0d8b2c4a6e1f",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $('AI Agent - Qualification Assessment').item.json.recommendation }}",
              "rightValue": "Interview"
            }
          ]
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "0a7e25e8-767a-4e1f-ae2e-c398efabca7c",
      "name": "Google Calendario - Programar Entrevista",
      "type": "n8n-nodes-base.googleCalendar",
      "position": [
        1984,
        224
      ],
      "parameters": {
        "end": "={{ $now.plus({ days: 3, hours: 1 }).toISO() }}",
        "start": "={{ $now.plus({ days: 3 }).toISO() }}",
        "calendar": {
          "__rl": true,
          "mode": "list",
          "value": "primary",
          "cachedResultName": "Primary"
        },
        "additionalFields": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "7d6c9426-4719-4516-b8f5-dcd5e86170f3",
      "name": "Airtable - Actualizar Detalles de Entrevista",
      "type": "n8n-nodes-base.airtable",
      "position": [
        2208,
        224
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appXXXXXXXXXXXXXX",
          "cachedResultName": "Candidates"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tblCandidates",
          "cachedResultName": "Candidates"
        },
        "columns": {
          "value": {
            "Status": "Interview Scheduled",
            "Interview_Link": "={{ $json.hangoutLink }}",
            "Calendar_Event_ID": "={{ $json.id }}",
            "Interview_Scheduled": "={{ $json.start.dateTime }}"
          },
          "mappingMode": "defineBelow"
        },
        "options": {},
        "operation": "update",
        "authentication": "oAuth2"
      },
      "typeVersion": 2
    },
    {
      "id": "993a2d90-9ec0-4ba5-9c3f-0704704dd8ae",
      "name": "Slack - Enviar Notificación",
      "type": "n8n-nodes-base.slack",
      "position": [
        1664,
        432
      ],
      "webhookId": "e7445fd1-5292-4e82-923a-e979940ba3b3",
      "parameters": {
        "text": "=🎯 *New Candidate Processed*\n\n*Candidate:* {{ $('Airtable - Store Candidate').item.json.Name }}\n*Position:* {{ $('Webhook - Receive CV').item.json.body.position }}\n*Match Score:* {{ $('AI Agent - Qualification Assessment').item.json.match_score }}%\n*Status:* {{ $('AI Agent - Qualification Assessment').item.json.status }}\n*Recommendation:* {{ $('AI Agent - Qualification Assessment').item.json.recommendation }}\n\n*Key Strengths:*\n{{ $('AI Agent - Qualification Assessment').item.json.strengths.map((s, i) => `${i+1}. ${s}`).join('\\n') }}\n\n{{ $('AI Agent - Qualification Assessment').item.json.recommendation === 'Interview' ? '📅 *Interview Scheduled:* ' + $now.plus({ days: 3 }).toFormat('MMM dd, yyyy HH:mm') : '📞 *Next Step:* Phone screening' }}\n\n<https://airtable.com/appXXXXXXXXXXXXXX/tblCandidates/{{ $('Airtable - Store Candidate').item.json.id }}|View in Airtable>",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C0123456789",
          "cachedResultName": "#recruitment"
        },
        "otherOptions": {}
      },
      "typeVersion": 2.2
    },
    {
      "id": "9d640257-d798-4d6a-97ad-0e1344c459b9",
      "name": "Responder a Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        2384,
        352
      ],
      "parameters": {
        "options": {},
        "respondWith": "json",
        "responseBody": "={{ {\n  \"success\": true,\n  \"candidate_id\": $('Airtable - Store Candidate').item.json.id,\n  \"name\": $('Airtable - Store Candidate').item.json.Name,\n  \"match_score\": $('AI Agent - Qualification Assessment').item.json.match_score,\n  \"status\": $('AI Agent - Qualification Assessment').item.json.status,\n  \"recommendation\": $('AI Agent - Qualification Assessment').item.json.recommendation,\n  \"message\": \"Application processed successfully\"\n} }}"
      },
      "typeVersion": 1.1
    },
    {
      "id": "1ca1599c-5e50-4231-b384-73e58678fce9",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -400,
        -80
      ],
      "parameters": {
        "width": 480,
        "height": 640,
        "content": "## Introduction\nAutomate candidate evaluation from CV submission to interview booking. Perfect for HR teams and recruiters.\n## How It Works\nWebhook receives CVs, extracts Airtable data, AI assesses qualifications, filters candidates, sends emails, schedules Google Calendar interviews, and updates records.\n## Workflow Template\nWebhook → Airtable (Get Data) → AI Extract CV → AI Assessment → Filter Qualified → Generate Email → Send Email → Filter Interview Candidates → Schedule Calendar → Update Airtable → Slack Notification → Respond\n## Workflow Steps\n1. Receive & Store: Webhook receives CVs, saves to Airtable.\n2. Fetch & Download: Gets job criteria, downloads CVs.\n3. AI Assessment: Parses skills, scores candidates.\n4. Filter & Email: Routes qualified, sends messages.\n5. Schedule & Update: Books interviews, updates Airtable.\n6. Notify: Alerts via Slack, confirms status.\n## Setup Instructions\n1. **Webhook & Airtable:** Set URL, create tables, add credentials.\n2. **AI Configuration:** Add OpenAI key, define schema, customize scoring.\n3. **Communication:** Connect Gmail, Calendar, and Slack.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "7c2b3a99-8480-4344-a98f-7a223ad253ef",
      "name": "Nota Adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -80
      ],
      "parameters": {
        "color": 6,
        "width": 448,
        "height": 384,
        "content": "\n## Prerequisites\n- Airtable account\n- OpenAI API key\n- Gmail and Google Calendar\n- Slack workspace (optional)\n\n## Customization\n- Multi-stage scheduling\n- ATS integration (Greenhouse, Lever)\n\n## Benefits\n- Reduces screening time by 90%\n- Ensures uniform evaluation\n- Cuts time-to-hire by 60%"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "32b604ba-da3d-49a1-89dc-7e8a37f787b7",
  "connections": {
    "0fdb2b79-b63d-42be-9ddc-2cee4cf5a83c": {
      "ai_languageModel": [
        [
          {
            "node": "477e1bb2-ddce-4655-b148-5eddff7a0672",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "477e1bb2-ddce-4655-b148-5eddff7a0672": {
      "main": [
        [
          {
            "node": "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2a69b990-5536-4825-81e2-682ef75fe7a2": {
      "main": [
        [
          {
            "node": "6e476a4e-e2bb-4298-9ddc-5829aeb8306f",
            "type": "main",
            "index": 0
          },
          {
            "node": "56b8fd3c-8f51-44c5-a39c-80c002da4cc7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "558ed33e-f2e1-41a6-af31-699ba4324675": {
      "ai_languageModel": [
        [
          {
            "node": "eb06c596-bfed-4bd2-8d5d-6eec33740b1b",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "c68e5f48-5033-45f5-b7a7-75bfa8f472b6": {
      "ai_outputParser": [
        [
          {
            "node": "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "eb06c596-bfed-4bd2-8d5d-6eec33740b1b": {
      "main": [
        [
          {
            "node": "12222fa6-a277-4af1-8cbb-7b27c67ea2d0",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "993a2d90-9ec0-4ba5-9c3f-0704704dd8ae": {
      "main": [
        [
          {
            "node": "9d640257-d798-4d6a-97ad-0e1344c459b9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6e476a4e-e2bb-4298-9ddc-5829aeb8306f": {
      "main": [
        [
          {
            "node": "ea434fe7-5922-4413-9d94-a1bb049a1a13",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "56b8fd3c-8f51-44c5-a39c-80c002da4cc7": {
      "main": [
        [
          {
            "node": "477e1bb2-ddce-4655-b148-5eddff7a0672",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "259d8989-fd79-402d-8993-00eafc43e86c": {
      "main": [
        [
          {
            "node": "dda61fa4-8d96-40d3-aa9f-2feac1b03fe9",
            "type": "main",
            "index": 0
          },
          {
            "node": "993a2d90-9ec0-4ba5-9c3f-0704704dd8ae",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "2f34882a-fce9-4f89-9563-438f9aa82795": {
      "ai_languageModel": [
        [
          {
            "node": "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "72a2753a-535f-4e77-9901-a4007124c76a": {
      "main": [
        [
          {
            "node": "0a7e25e8-767a-4e1f-ae2e-c398efabca7c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "dda61fa4-8d96-40d3-aa9f-2feac1b03fe9": {
      "main": [
        [
          {
            "node": "eb06c596-bfed-4bd2-8d5d-6eec33740b1b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ea434fe7-5922-4413-9d94-a1bb049a1a13": {
      "main": [
        [
          {
            "node": "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "12222fa6-a277-4af1-8cbb-7b27c67ea2d0": {
      "main": [
        [
          {
            "node": "72a2753a-535f-4e77-9901-a4007124c76a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "529064ba-9f1e-4a4c-aa5e-ccbae81f2e57": {
      "main": [
        [
          {
            "node": "259d8989-fd79-402d-8993-00eafc43e86c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "7d6c9426-4719-4516-b8f5-dcd5e86170f3": {
      "main": [
        [
          {
            "node": "9d640257-d798-4d6a-97ad-0e1344c459b9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0a7e25e8-767a-4e1f-ae2e-c398efabca7c": {
      "main": [
        [
          {
            "node": "7d6c9426-4719-4516-b8f5-dcd5e86170f3",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Recursos Humanos, Resumen de IA

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Flujos de trabajo relacionados recomendados

Sistema de revisión por pares con IA, con generación automática de criterios de calificación
Automatizar la asignación de revisiones por pares con Slack y notificaciones por correo electrónico
Set
Code
Slack
+
Set
Code
Slack
22 NodosCheng Siong Chin
Extracción de documentos
Evaluación de tareas con IA de Sonar Pro y recordatorios de múltiples fechas límite
Automatizar la asignación de revisiones por pares con Sonar Pro AI y recordatorios de plazos multicanal
Set
Filter
Discord
+
Set
Filter
Discord
23 NodosCheng Siong Chin
Extracción de documentos
Calificación de tareas impulsada por IA con GPT-4-Turbo y salida en múltiples formatos
Usar GPT-4-Turbo para automatizar la corrección de trabajos y la generación de informes en múltiples formatos
Set
Code
Webhook
+
Set
Code
Webhook
15 NodosCheng Siong Chin
Extracción de documentos
Explorar nodos de n8n en la biblioteca de referencias visuales
Explorar nodos de n8n en la base de referencia visual
If
Ftp
Set
+
If
Ftp
Set
113 NodosI versus AI
Otros
Sistema de advertencia de salud impulsado por IA para Grok-3 (con notificación para familiares)
Sistema de monitoreo de salud basado en Grok-3 AI con alertas por correo para familiares/médicos
If
Set
Merge
+
If
Set
Merge
17 NodosCheng Siong Chin
Productividad personal
Analizador de ofertas de vuelos en tiempo real con GPT-4o: extracción, evaluación y publicación automáticas en WordPress
Analizador de ofertas de vuelos con datos meteorológicos, utilizando GPT, Google Flights y WordPress
Set
Html
Slack
+
Set
Html
Slack
19 NodosCheng Siong Chin
Creación de contenido
Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos21
Categoría2
Tipos de nodos13
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor
Cheng Siong Chin

Cheng Siong Chin

@cschin

Prof. Cheng Siong CHIN serves as Chair Professor in Intelligent Systems Modelling and Simulation in Newcastle University, Singapore. His academic credentials include an M.Sc. in Advanced Control and Systems Engineering from The University of Manchester and a Ph.D. in Robotics from Nanyang Technological University.

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34