Entretien conversationnel basé sur un agent IA et des formulaires n8n

• •Informations de connexion au serveur Redis
• •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
• •Informations d'identification Google Sheets API

{
  "nodes": [
    {
      "id": "d73e5113-119f-4e62-9872-48e6a971d760",
      "name": "Arrêter l'entretien ?",
      "type": "n8n-nodes-base.if",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "3cf788a6-94d0-4223-9caa-30b8e4df8e01",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.output.stop_interview }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "cda3c487-97fa-4037-b9a0-0802f4a02727",
      "name": "Générer une ligne",
      "type": "n8n-nodes-base.set",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "06146a75-b67a-42cf-aa6f-241f23c47b9a",
              "name": "timestamp",
              "type": "string",
              "value": "={{ $now.toISO() }}"
            },
            {
              "id": "b0278c64-58a7-487d-b7ba-d102fb5d4a0c",
              "name": "type",
              "type": "string",
              "value": "next_question"
            },
            {
              "id": "ba034ca1-408e-422f-b071-dab0ef12fb48",
              "name": "question",
              "type": "string",
              "value": "={{ $('Parse Response').item.json.output.question }}"
            },
            {
              "id": "a2231f6e-f507-408e-b598-53888cf8d4b5",
              "name": "answer",
              "type": "string",
              "value": "={{ $('Get Answer').item.json.answer }}"
            }
          ]
        }
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    },
    {
      "id": "3486f9ae-6a19-4f1f-be46-15376053e71f",
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      "position": [
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      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "06146a75-b67a-42cf-aa6f-241f23c47b9a",
              "name": "timestamp",
              "type": "string",
              "value": "={{ $now.toISO() }}"
            },
            {
              "id": "b0278c64-58a7-487d-b7ba-d102fb5d4a0c",
              "name": "type",
              "type": "string",
              "value": "stop_interview"
            },
            {
              "id": "ba034ca1-408e-422f-b071-dab0ef12fb48",
              "name": "question",
              "type": "string",
              "value": "=None"
            },
            {
              "id": "a2231f6e-f507-408e-b598-53888cf8d4b5",
              "name": "answer",
              "type": "string",
              "value": "=None"
            }
          ]
        }
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      "typeVersion": 3.4
    },
    {
      "id": "a0e5d40d-e956-4ded-891f-ce5d0f55935f",
      "name": "Effacer pour le prochain entretien",
      "type": "@n8n/n8n-nodes-langchain.memoryManager",
      "position": [
        3900,
        760
      ],
      "parameters": {
        "mode": "delete",
        "deleteMode": "all"
      },
      "typeVersion": 1.1
    },
    {
      "id": "66a33fcb-a902-4159-a025-2dff426c1fce",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2580,
        860
      ],
      "parameters": {
        "width": 180,
        "height": 260,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 Set Interview Topic Here!"
      },
      "typeVersion": 1
    },
    {
      "id": "5cfb7114-a773-4c76-bb3b-7c004be5f799",
      "name": "Envoyer la réponse à l'agent",
      "type": "n8n-nodes-base.set",
      "position": [
        4060,
        1200
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "06a9c730-4756-4bc8-a394-6ff249cf7117",
              "name": "answer",
              "type": "string",
              "value": "={{ $('Get Answer').item.json.answer }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "aa30c462-7dfa-40a7-8e63-bed29b30213c",
      "name": "Note adhésive 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1880,
        1060
      ],
      "parameters": {
        "color": 7,
        "width": 490,
        "height": 220,
        "content": "## 1. Setup Interview\n[Learn more about the form trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger)\n\nThe form trigger node will be our entry point into this workflow and to start, we'll just ask for the user's name to start the interview.\nOur session storage will be using Redis via Upstash.com (you can use regular redis btw!) - whichever way, this ensures a highly scalable system able to handle many users."
      },
      "typeVersion": 1
    },
    {
      "id": "5353a7c8-d0e4-429a-ab68-c54d9b845a43",
      "name": "Démarrer l'entretien",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        1880,
        880
      ],
      "webhookId": "8d849295-ed30-41ab-a17c-464227cec8fb",
      "parameters": {
        "options": {
          "path": "driving-lessons-survey",
          "ignoreBots": true,
          "buttonLabel": "Begin Interview!",
          "appendAttribution": true,
          "useWorkflowTimezone": true
        },
        "formTitle": "=UK Practical Driving Test Satisfaction Interview",
        "formFields": {
          "values": [
            {
              "fieldLabel": "What is your name?",
              "placeholder": "ie. Sam Smith",
              "requiredField": true
            }
          ]
        },
        "responseMode": "lastNode",
        "formDescription": "=Thanks for taking part in our Interview. You will be presented with an unending series of questions to help us with your experiences in preparing for and taking the UK Practical Driving Test.\n\nThe interviewer is an AI agent and the questions are dynamically generated. When you're done with answer, simple say STOP to exit the interview. Sessions are deleted after 24 hours."
      },
      "typeVersion": 2.2
    },
    {
      "id": "c88a829f-c4b4-4ad4-b121-32b15fae9980",
      "name": "Note adhésive 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2840,
        600
      ],
      "parameters": {
        "color": 7,
        "width": 614,
        "height": 280,
        "content": "## 2. AI Researcher for Endless Interview Questions\n[Learn more about the AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\n\nAn AI interviewer is an interesting take on a role traditionally understood as expensive and time-consuming - both in preparation and execution. What if this could be handed off to an AI/LLM, which could perform when it suits the interviewee and ask a never-ending list of open and follow-on questions for deeper insights?\n\nThis is what this AI researcher agent is designed to do! Upon activation, a loop is created where the agent generates the question and the user answers via the form node. This continues until the user asks to stop the interview."
      },
      "typeVersion": 1
    },
    {
      "id": "10e5dbe0-0163-4c21-8811-9ce9a2a5063b",
      "name": "Note adhésive 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3580,
        1380
      ],
      "parameters": {
        "color": 7,
        "width": 580,
        "height": 202,
        "content": "## 3. Record Answers and Prep for Next Question\n[Learn more about the n8n Form node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\n\nThe interview is no good if we can't record the answers somewhere for later analysis! Using n8n form node to capture the answer, we can simple push our new question and answer pair to our Redis session to build our transcript before continuing the loop with the agent."
      },
      "typeVersion": 1
    },
    {
      "id": "0a0cc961-d364-40d2-9ece-cef7d17c4b45",
      "name": "Note adhésive 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3820,
        460
      ],
      "parameters": {
        "color": 7,
        "width": 528,
        "height": 253,
        "content": "## 4. Graciously End the Interview\n[Read more about the Chat Manager node](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorymanager/)\n\nOnce the AI/LLM detects the user wishes to end the interview (which is done by the user explicitly saying in the form), then the loop breaks and we conclude the interview session and displaying the confirmation screen.\n\nFor this demo, I've created a special confirmation screen which also displays the transcript. This is done by redirecting to a webhook URL. If you don't need this, feel free to change this to \"show completion screen\" instead.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "279d9a67-1d3b-4ffe-a152-33164ef9e2c8",
      "name": "Obtenir la réponse",
      "type": "n8n-nodes-base.form",
      "position": [
        3580,
        1200
      ],
      "webhookId": "d96bb88d-db84-4a68-8f02-bcff9cb8429e",
      "parameters": {
        "options": {
          "formTitle": "={{ $json.output.question }}",
          "buttonLabel": "Next Question",
          "formDescription": "Please answer the question or type \"stop interview\" to end the interview."
        },
        "formFields": {
          "values": [
            {
              "fieldType": "textarea",
              "fieldLabel": "answer",
              "requiredField": true
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "4e284505-afc3-4e3e-88c8-38021efbf3c1",
      "name": "Note adhésive 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1280,
        500
      ],
      "parameters": {
        "width": 522.6976744186048,
        "height": 787.6241860465118,
        "content": "## Try it out! \n\n### Conducting user interviews have been traditionally difficult due to preparation, timing and execution costs. What if we let an AI/LLM do it instead?\n\nThis template enables automated AI/LLM powered user interviews using n8n forms and an AI agent where the question and answers are recorded in a google sheet for later analysis. A powerful tool for any researcher.\n\n### Check out the full showcase post here: https://community.n8n.io/t/build-your-own-ai-interview-agents-with-n8n-forms/62312\n\n### How it works\n* A form trigger is used to start the interview and a new session is created in redis to capture the transcript.\n* An AI agent is then tasked to ask questions to the user regarding the topic of the interview. This is setup as a loop so the questions never stop unless the user wishes to end the interview.\n* Each answer is recorded in our session set up earlier between questions.\n* Finally, when the user requests to end the interview we break the loop and show the interview completion screen.\n\n### Why Redis?\nRedis is a fast key-value datastore which makes it ideal for sessions. This ensures the interview flow stays snappy between questions. For my live demo, I used Upstash.com which has a generous free tier.\n\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!\n"
      },
      "typeVersion": 1
    },
    {
      "id": "ff37e943-851f-4ea7-bcab-b33150881b72",
      "name": "Définir le sujet de l'entretien",
      "type": "n8n-nodes-base.set",
      "position": [
        2620,
        880
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "386f91e1-cc3e-4912-84e3-5ecdbf5412c8",
              "name": "answer",
              "type": "string",
              "value": "=Hello, my name is {{ $('Start Interview').first().json['What is your name?'] }}"
            },
            {
              "id": "492d5ecc-4e76-4297-b8a7-9ca4f801c855",
              "name": "interview_topic",
              "type": "string",
              "value": "Your experience preparing for and taking the UK practical driving test"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "446937bc-a599-4184-b52e-be0607d62d94",
      "name": "UUID",
      "type": "n8n-nodes-base.crypto",
      "position": [
        2020,
        880
      ],
      "parameters": {
        "action": "generate"
      },
      "typeVersion": 1
    },
    {
      "id": "da94c22a-4b26-4898-bde8-b57b5bf01f15",
      "name": "Générer une ligne 2",
      "type": "n8n-nodes-base.set",
      "position": [
        2300,
        880
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "06146a75-b67a-42cf-aa6f-241f23c47b9a",
              "name": "timestamp",
              "type": "string",
              "value": "={{ $now.toISO() }}"
            },
            {
              "id": "b0278c64-58a7-487d-b7ba-d102fb5d4a0c",
              "name": "type",
              "type": "string",
              "value": "start_interview"
            },
            {
              "id": "ba034ca1-408e-422f-b071-dab0ef12fb48",
              "name": "question",
              "type": "string",
              "value": "=What is your name?"
            },
            {
              "id": "a2231f6e-f507-408e-b598-53888cf8d4b5",
              "name": "answer",
              "type": "string",
              "value": "={{ $('Start Interview').first().json['What is your name?'] }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "9aba23d7-04af-4478-b39b-417f0917597d",
      "name": "Créer une session",
      "type": "n8n-nodes-base.redis",
      "position": [
        2160,
        880
      ],
      "parameters": {
        "key": "=session_{{ $('UUID').item.json.data }}",
        "ttl": "={{ 60 * 60 * 24 }}",
        "value": "={{ [] }}",
        "expire": true,
        "keyType": "list",
        "operation": "set"
      },
      "credentials": {
        "redis": {
          "id": "AbPH1yYQ924bVUqm",
          "name": "Upstash (ai interviewer)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "217c9866-a162-41c6-b123-189869a6cb58",
      "name": "Mettre à jour la session",
      "type": "n8n-nodes-base.redis",
      "position": [
        2440,
        880
      ],
      "parameters": {
        "list": "=session_{{ $('UUID').first().json.data }}",
        "tail": true,
        "operation": "push",
        "messageData": "={{ $json.toJsonString() }}"
      },
      "credentials": {
        "redis": {
          "id": "AbPH1yYQ924bVUqm",
          "name": "Upstash (ai interviewer)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "95e8b7c4-4f27-49f3-b509-5238c0f7bd5d",
      "name": "Mettre à jour la session 1",
      "type": "n8n-nodes-base.redis",
      "position": [
        3900,
        1200
      ],
      "parameters": {
        "list": "=session_{{ $('UUID').first().json.data }}",
        "tail": true,
        "operation": "push",
        "messageData": "={{ $json.toJsonString() }}"
      },
      "credentials": {
        "redis": {
          "id": "AbPH1yYQ924bVUqm",
          "name": "Upstash (ai interviewer)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "afaa55dd-844e-4bf3-8a31-3a0953caaf69",
      "name": "Mettre à jour la session 2",
      "type": "n8n-nodes-base.redis",
      "position": [
        3740,
        760
      ],
      "parameters": {
        "list": "=session_{{ $('UUID').first().json.data }}",
        "tail": true,
        "operation": "push",
        "messageData": "={{ $json.toJsonString() }}"
      },
      "credentials": {
        "redis": {
          "id": "AbPH1yYQ924bVUqm",
          "name": "Upstash (ai interviewer)"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c381d598-1902-4789-ac15-65ac2124fbdd",
      "name": "Session valide ?",
      "type": "n8n-nodes-base.if",
      "position": [
        5080,
        1240
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "500d6ca9-2a04-40f0-98e8-aa4290e6a30d",
              "operator": {
                "type": "array",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.data }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "f26ccdaa-4f94-4acb-894b-341648aee8b0",
      "name": "Répondre à Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        5440,
        1240
      ],
      "parameters": {
        "options": {
          "responseCode": 200,
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "text/html"
              }
            ]
          }
        },
        "respondWith": "text",
        "responseBody": "={{ $json.html }}"
      },
      "typeVersion": 1.1
    },
    {
      "id": "09a05dc6-4a21-4df0-a83d-5e1b986090f8",
      "name": "Mémoire tampon fenêtrée 2",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        3000,
        1120
      ],
      "parameters": {
        "sessionKey": "={{ $('UUID').first().json.data }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.2
    },
    {
      "id": "26f87c7d-9e2c-41e8-b7eb-3c249a69f905",
      "name": "Mémoire tampon fenêtrée",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        3900,
        920
      ],
      "parameters": {
        "sessionKey": "={{ $('UUID').first().json.data }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.2
    },
    {
      "id": "ab891c71-af03-49c9-b281-d0058374260b",
      "name": "Note adhésive 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4180,
        740
      ],
      "parameters": {
        "width": 276.4353488372094,
        "height": 320.31553488372094,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 Set Your Webhook URL here!\nFor this demo, we want to show a customised completion screen with transcript so it's necessary to redirect to a webhook (see step 6)."
      },
      "typeVersion": 1
    },
    {
      "id": "7a063851-1bea-4e34-897c-4038d08b845e",
      "name": "Rediriger vers l'écran de fin",
      "type": "n8n-nodes-base.form",
      "position": [
        4260,
        760
      ],
      "webhookId": "9fdedf1b-e413-4fc3-94a4-9cc24bffff8a",
      "parameters": {
        "operation": "completion",
        "redirectUrl": "=https://<host>/webhook/<uuid-if-using-n8n-cloud>/ai-interview-transcripts/{{ $('UUID').first().json.data }}",
        "respondWith": "redirect"
      },
      "typeVersion": 1
    },
    {
      "id": "b67b3fa5-faf6-402b-9b9e-c783869770ca",
      "name": "Note adhésive 7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4640,
        1220
      ],
      "parameters": {
        "color": 5,
        "width": 236.3564651162793,
        "height": 345.82027906976737,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 This is the webhook we want to redirect to!\nIf you're on n8n cloud, you may want to copy the webhook url generated here and use it as the form ending's redirect url."
      },
      "typeVersion": 1
    },
    {
      "id": "583d1572-2d6f-4ca4-9e31-33dc1481e87a",
      "name": "Note adhésive 8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4580,
        980
      ],
      "parameters": {
        "color": 7,
        "width": 588,
        "height": 207,
        "content": "## 6. Display the Transcript\n[Read more about the Webhook Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook)\n\nThis step is totally optional. For a nicer user experience, I use this webhook mini-flow to display the user's transcript for the completion screen. It works by capturing the session_id in the webhook's url and searching for it in our redis database. If a match is found the transcript is fetched and rendered into a webpage using the HTML node and returned to the user. If no match is found, a 404 message is displayed instead."
      },
      "typeVersion": 1
    },
    {
      "id": "5fcf86b9-3fa3-48f5-a4a4-a1e261a48b49",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        4700,
        1240
      ],
      "webhookId": "78df12c4-ccd0-46dd-be0d-4445c2bd04f2",
      "parameters": {
        "path": "ai-interview-transcripts/:session_id",
        "options": {
          "ignoreBots": true
        },
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "6df57307-feef-4be5-861d-fdc0b92d1ef6",
      "name": "404 Non trouvé",
      "type": "n8n-nodes-base.html",
      "position": [
        5260,
        1320
      ],
      "parameters": {
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      "name": "Chercheur IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
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        "text": "={{ $json.answer }}",
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          "systemMessage": "=You are a user research expert interviewing a user on the topic of \"{{ $('Set Interview Topic').first().json.interview_topic }}\".\n\n* Your task is to ask open-ended questions relevant to the interview topic.\n* Ask only one question at a time. Analyse the previous question and ask new question each time. If there is an opportunity to dig deeper into a previous answer, do so but limit to 1 follow-on question.\n* Keep asking questions until the user requests to stop the interview. When the user requests to stop the interview and no question is required, \"question\" is an empty string.\n* Use a friendly and polite tone when asking questions.\n* If the user answers are inrelevant to the question, ask the question again or move on to another question.\n* If the user's answer is beyond the scope of the interview, ignore the answer and ask if the user would like to stop the interview.\n*You must format your response using the following json schema as we require pre processing before responding to the user.\n```\n{\n  \"type\":\"object\",\n  \"properties\": {\n    \"stop_interview\": { \"type\": \"boolean\" },\n    \"question\": { \"type\": [\"string\", \"null\"] }\n  }\n}\n```\n* Output only the json object and do not prefix or suffix the message with extraneous text."
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      "name": "Modèle de chat Groq",
      "type": "@n8n/n8n-nodes-langchain.lmChatGroq",
      "position": [
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      ],
      "parameters": {
        "model": "llama-3.2-90b-text-preview",
        "options": {}
      },
      "credentials": {
        "groqApi": {
          "id": "YQVoV5K9FREww7t1",
          "name": "Groq account"
        }
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      "typeVersion": 1
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    {
      "id": "bf4518c4-8e59-450e-be5a-92f31cf38528",
      "name": "Afficher la transcription",
      "type": "n8n-nodes-base.html",
      "position": [
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      "parameters": {
        "html": "\n<html lang='en'>\n\n\t<head>\n\t\t<meta charset='UTF-8' />\n\t\t<meta name='viewport' content='width=device-width, initial-scale=1.0' />\n\t\t<link rel='icon' type='image/png' href='https://n8n.io/favicon.ico' />\n\t\t<link\n\t\t\thref='https://fonts.googleapis.com/css?family=Open+Sans'\n\t\t\trel='stylesheet'\n\t\t\ttype='text/css'\n\t\t/>\n\n\t\t<title>AI Interviewer Transcripts</title>\n\n\t\t<style>\n\t\t\t*, ::after, ::before { box-sizing: border-box; margin: 0; padding: 0; } body { font-family:\n\t\t\tOpen Sans, sans-serif; font-weight: 400; font-size: 12px; display: flex; flex-direction:\n\t\t\tcolumn; justify-content: start; background-color: #FBFCFE; } .container { margin: auto;\n\t\t\ttext-align: center; padding-top: 24px; width: 448px; } .card { padding: 24px;\n\t\t\tbackground-color: white; border: 1px solid #DBDFE7; border-radius: 8px; box-shadow: 0px 4px\n\t\t\t16px 0px #634DFF0F; margin-bottom: 16px; } .n8n-link a { color: #7E8186; font-weight: 600;\n\t\t\tfont-size: 12px; text-decoration: none; } .n8n-link svg { display: inline-block;\n\t\t\tvertical-align: middle; } .header h1 { color: #525356; font-size: 20px; font-weight: 400;\n\t\t\tpadding-bottom: 8px; } .header p { color: #7E8186; font-size: 14px; font-weight: 400; }\n\t\t</style>\n\t</head>\n\n\t<body>\n\t\t<div class='container' style=\"width:640px\">\n\t\t\t<section>\n\t\t\t\t<div class='card'>\n\t\t\t\t\t<div class='header'>\n\t\t\t\t\t\t<h1>Thanks for Completing the Interview!</h1>\n\t\t\t\t\t\t<p style=\"margin-bottom:12px;\">If you liked this demo, <br/>please follow me on <a href=\"http://linkedin.com/in/jimleuk\" target=\"_blank\">http://linkedin.com/in/jimleuk</a> and\n                          <a href=\"https://x.com/jimle_uk\" target=\"_blank\">https://x.com/jimle_uk</a>\n                        </p>\n                        <p>\n                          <a href=\"https://n8n.partnerlinks.io/ee7izbliiw0n\" target=\"_blank\">\n                            Support my work! Sign up to n8n using this link 🙏\n                          </a>\n                        </p>\n                    </div>\n\t\t\t\t</div>\n                <div class='card' >\n\t\t\t\t\t<div class='header'>\n\t\t\t\t\t\t<h1>Transcript</h1>\n                      <p style=\"color:#ccc;margin-bottom:24px;font-size:0.8rem\">This session is deleted within 24 hours.</p>\n                        {{\n                          $json.data\n                            .map(item => JSON.parse(item))\n                            .filter(item => item.type === 'next_question')\n                            .map(item => `\n                              <div style=\"display:flex;flex-direction:row;margin-bottom: 16px;\">\n                                <div style=\"width: 60px;padding-right: 5px;text-align: left;color: #ccc;\">\n                                  ${DateTime.fromISO(item.timestamp).format('dd MMM, hh:mm')}\n                                </div>\n                                <div style=\"width:100%\">\n                                  <div style=\"\n    border: 1px solid #ccc;\n    padding: 10px;\n    border-radius: 5px;\n    background-color: #f8f7f7;\n    text-align: right;\n    margin-bottom: 5px;\n\">${item.question}</div>\n                                  <div style=\"\n    border: 1px solid #c7ccec;\n    padding: 10px;\n    border-radius: 5px;\n    background-color: #f5f5fc;\n    text-align: left;\n    color: #2e2e84;\n\">${item.answer}</div>\n                                </div>\n                              </div>\n                           `)\n                            .join('\\n')\n                        }}\n    \t\t\t\t</div>\n\t\t\t\t</div>\n\t\t\t\t\t<div class='n8n-link'>\n\t\t\t\t\t\t<a href=\"https://n8n.partnerlinks.io/ee7izbliiw0n\" target='_blank'>\n\t\t\t\t\t\t\tForm automated with\n\t\t\t\t\t\t\t<svg\n\t\t\t\t\t\t\t\twidth='73'\n\t\t\t\t\t\t\t\theight='20'\n\t\t\t\t\t\t\t\tviewBox='0 0 73 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      },
      "typeVersion": 1.2
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    {
      "id": "dff24e45-8e57-4dfc-8b65-9d315b406bd2",
      "name": "Enregistrer dans la feuille Google",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
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      "parameters": {
        "columns": {
          "value": {
            "name": "{{ $('Start Interview').first().json['What is your name?'] }}",
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