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Recap AI - 반대공학短视频 AI 비디오

고급

이것은Content Creation, AI Summarization분야의자동화 워크플로우로, 22개의 노드를 포함합니다.주로 Set, Slack, Switch, FormTrigger, HttpRequest 등의 노드를 사용하며. Apify와 Gemini 2.5 Pro를 사용하여 바이러스적인 TikTok과 Instagram Reels를 복제

사전 요구사항
  • Slack Bot Token 또는 Webhook URL
  • 대상 API의 인증 정보가 필요할 수 있음
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
  "id": "hphJfSePqnG8grxP",
  "meta": {
    "instanceId": "06e5009344f682419c20ccd4ecdcb5223bbb91761882af93ac6d468dbc2cbf8d",
    "templateCredsSetupCompleted": true
  },
  "name": "The Recap AI - Reverse Engineer Short Form AI Video",
  "tags": [],
  "nodes": [
    {
      "id": "feeaf14f-cc61-4a85-9a80-8456356aa551",
      "name": "form_trigger",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        48,
        112
      ],
      "webhookId": "8db8f807-4b93-4a74-81b6-290cc1d459e8",
      "parameters": {
        "options": {},
        "formTitle": "Reverse Engineer Short Form Video",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Url",
              "placeholder": "https://www.instagram.com/reel/DKzbAvyoCMJ/",
              "requiredField": true
            }
          ]
        },
        "formDescription": "Provide an IG Reel url or a TikTok url."
      },
      "typeVersion": 2.2
    },
    {
      "id": "a473cf43-ed18-479b-bc08-53173715c355",
      "name": "switch_platform",
      "type": "n8n-nodes-base.switch",
      "position": [
        544,
        112
      ],
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "c5641e00-9155-4ca8-b4cd-90798531103a",
                    "operator": {
                      "type": "string",
                      "operation": "contains"
                    },
                    "leftValue": "={{ $('form_trigger').item.json.Url }}",
                    "rightValue": "=instagram.com"
                  }
                ]
              }
            },
            {
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "4da252f9-8606-476f-85a3-23f95b6f6e72",
                    "operator": {
                      "type": "string",
                      "operation": "contains"
                    },
                    "leftValue": "={{ $('form_trigger').item.json.Url }}",
                    "rightValue": "tiktok.com"
                  }
                ]
              }
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "9361eaaa-5a19-4001-8809-e9ea7c44125d",
      "name": "scrape_ig_reel",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        880,
        -224
      ],
      "parameters": {
        "url": " https://api.apify.com/v2/acts/apify~instagram-api-scraper/run-sync-get-dataset-items",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"directUrls\": [\n      \"{{ $('form_trigger').item.json.Url }}\"\n    ],\n    \"resultsLimit\": 1,\n    \"resultsType\": \"posts\"\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "JUNCpa8hxAmgMQQS",
          "name": "Apify API"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "abe8f70a-2b3a-4c69-ba07-d6ee790f2302",
      "name": "download_ig_reel",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1344,
        -224
      ],
      "parameters": {
        "url": "={{ $('scrape_ig_reel').item.json.videoUrl }}",
        "options": {
          "response": {
            "response": {
              "responseFormat": "file"
            }
          }
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "aad88865-ba23-4619-a172-8413863b127d",
      "name": "scrape_tiktok",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        880,
        304
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/run-sync-get-dataset-items",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"maxItems\": 1,\n    \"startUrls\": [\n        \"{{ $('form_trigger').item.json.Url }}\"\n    ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "JUNCpa8hxAmgMQQS",
          "name": "Apify API"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "efe3daec-2f18-43c0-8e28-4ce84c33a68b",
      "name": "download_tiktok",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1344,
        304
      ],
      "parameters": {
        "url": "={{ $('scrape_tiktok').item.json.video.url }}",
        "options": {
          "response": {
            "response": {
              "responseFormat": "file"
            }
          }
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "e6124831-b97f-4eb7-b3c0-8192339d2aa3",
      "name": "tiktok_to_base64",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        880,
        528
      ],
      "parameters": {
        "options": {},
        "operation": "binaryToPropery"
      },
      "typeVersion": 1
    },
    {
      "id": "380927ac-d7cb-4c66-9020-c905d0d0932d",
      "name": "set_tiktok_result",
      "type": "n8n-nodes-base.set",
      "position": [
        1344,
        528
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "eccbeb92-af90-4244-8e23-2cd3e2616a07",
              "name": "result",
              "type": "string",
              "value": "={{ $json.candidates[0].content.parts[0].text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "246e1bc4-8a3e-483b-acb9-3fdd87ed51b5",
      "name": "analyze_tiktok",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1120,
        528
      ],
      "parameters": {
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro:generateContent",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"contents\": [\n    {\n      \"parts\": [\n        {\n          \"inline_data\": {\n            \"mime_type\": \"video/mp4\",\n            \"data\": \"{{ $json.data }}\"\n          }\n        },\n        {\n          \"text\": {{ JSON.stringify($('build_final_tiktok_prompt').item.json.prompt) }}\n        }\n      ]\n    }\n  ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "abcMckGk9RG9i0Ba",
          "name": "Google Gemini"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "b013129b-1662-4f47-8f89-d7668368b507",
      "name": "set_base_prompt",
      "type": "n8n-nodes-base.set",
      "position": [
        304,
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      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "f302b2c5-43cb-41f0-91f5-e91f72397ae4",
              "name": "prompt",
              "type": "string",
              "value": "=**Your Persona:** You are a \"Digital Twin Architect,\" a specialized AI analyst with a dual mastery of forensic video analysis and generative AI video synthesis. Your function is to deconstruct a source video into its absolute, quantifiable components and then architect a \"Generative Manifest\"—a flawless, multi-part prompt designed to compel an AI video model to render a perfect digital replica. You do not interpret; you transcribe reality into data.\n\n**Your Mission:** Your sole objective is to analyze the provided short-form video and produce a **Generative Manifest**. This manifest must be so detailed that it leaves no room for creative interpretation by the target AI video model (Google Veo, Sora, etc.). The goal is not a similar video; it is a shot-for-shot, motion-for-motion, photon-for-photon digital twin.\n\n**The Process: Forensic Deconstruction**\n\nBefore writing the manifest, you will perform a deep forensic analysis, dissecting the video across multiple layers. Think like a VFX artist creating a CG replica of a live-action shot.\n\n**Layer 1: The Global Aesthetic & Physics Core**\nThis is the foundational DNA of the video.\n*   **Visual Medium:** Is it emulating a specific film stock (e.g., Kodak Vision3 50D 35mm, Ektachrome 16mm)? Or is it a specific digital camera sensor (e.g., ARRI Alexa 65, RED Komodo, a high-end smartphone sensor)? Note the inherent grain, noise pattern, and sharpness.\n*   **Color Science & Grading:** Be precise. \"Cinematic teal and orange\" is too vague. Specify \"A high-contrast color grade with crushed blacks, lifted mid-tones, desaturated blues, and a heavy push of orange into the skin tones. The overall white balance is shifted slightly warm, around 4500K.\"\n*   **Lens Emulation:** Identify the characteristics of the lens. \"Emulating a Cooke Anamorphic/i SF 50mm lens, creating distinct oval bokeh, soft lens flares, and slight edge distortion.\" Or \"Emulating a sterile, hyper-sharp Zeiss Supreme Prime lens with zero chromatic aberration.\"\n*   **Physics & Reality Engine:** Define the environmental physics. \"Hyperrealistic physics model. All fluid dynamics (water, steam) must be viscous and turbulent. Fabric simulation must show weight and react to air currents. Particle effects (dust motes, sparks) must be dense and interact with light.\"\n\n**Layer 2: Per-Shot Deconstruction**\nBreak the video into a numbered sequence of shots. For EACH shot, you must detail the following:\n\n*   **Shot ID & Absolute Timing:**\n    *   `[SHOT X]`\n    *   `DURATION:` Start time to end time (e.g., 0.0s - 3.2s).\n\n*   **Camera Specification:**\n    *   `FRAMING:` Extreme Close-Up (ECU), Medium Shot (MS), etc.\n    *   `ANGLE:` Low Angle, High Angle, etc.\n    *   `MOVEMENT:` Be precise. Not \"pan,\" but \"A slow, 15-degree pan to the right with a smooth ease-in and ease-out, taking 2.0 seconds, starting at the 1.0s mark of the shot. The motion is perfectly stable, as if on a geared head tripod.\" Not \"handheld,\" but \"Subtle, high-frequency handheld shake emulating a person breathing, with a maximum vertical displacement of 2 pixels.\"\n\n*   **Subject & Action Choreography:**\n    *   `SUBJECT(S):` Hyper-specific descriptions. \"Male, early 30s, olive skin, short black hair, with a 3-day stubble. Wearing a navy blue heavyweight cotton t-shirt with visible fabric weave and slight pilling on the collar.\"\n    *   `ACTION MANIFEST:` A time-stamped log of all actions. \"At 0.5s, the subject's right hand enters the frame from the left. At 0.7s, his fingers make contact with the ceramic mug. At 1.2s, a micro-expression of concentration appears: slight furrowing of the brow, lips press together.\"\n\n*   **Lighting & Environmental Detail:**\n    *   `LIGHTING BLUEPRINT:` \"A single, large, soft key light (emulating a 4x4 silk diffuser) is positioned camera left and slightly high, creating a Rembrandt lighting pattern on the subject's face. A weak, cool-toned fill light (approx. 6000K) from the right prevents shadows from being completely black. A hard rim light from behind separates the subject from the background.\"\n    *   `ENVIRONMENT STATE:` \"The background shows a plaster wall with visible texture and a 2-inch scuff mark three feet to the right of the subject's head. Dust motes are visible, floating slowly in the shafts of light.\"\n\n*   **Focus & Depth Plane:**\n    *   `DEPTH OF FIELD:` \"Extremely shallow depth of field (emulating f/1.4 aperture). The focal plane is locked precisely on the subject's leading eyeball.\"\n    *   `FOCUS DYNAMICS:` \"At 2.5s, a slow, deliberate rack focus begins, shifting the focal plane from the subject's eye to the coffee cup in their hand over 0.7 seconds.\""
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "5ac6e027-8874-4541-8d2a-da1db0d76586",
      "name": "build_final_tiktok_prompt",
      "type": "n8n-nodes-base.set",
      "position": [
        1120,
        304
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "aab55ec6-6c4b-4e60-a576-62812f91299f",
              "name": "prompt",
              "type": "string",
              "value": "={{ $('set_base_prompt').item.json.prompt }}\n---\nVideo Title: {{ $json.title }}\nVideo Hashtags: {{ $json.hashtags.join(\",\") }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "3ff33483-c6f5-4022-b4ba-4fc8f75b1141",
      "name": "build_final_ig_prompt",
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      "position": [
        1120,
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      ],
      "parameters": {
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        "assignments": {
          "assignments": [
            {
              "id": "aab55ec6-6c4b-4e60-a576-62812f91299f",
              "name": "prompt",
              "type": "string",
              "value": "={{ $('set_base_prompt').item.json.prompt }}\n---\nVideo Caption: {{ $json.caption }}\nVideo Hashtags: {{ $json.hashtags.join(\",\") }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "e57ad5a9-be69-406c-a491-dba6bccd04a0",
      "name": "ig_to_base64",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        880,
        32
      ],
      "parameters": {
        "options": {},
        "operation": "binaryToPropery"
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      "typeVersion": 1
    },
    {
      "id": "c7602bc6-c215-45da-8d1e-1efb88fd1598",
      "name": "analyze_ig_reel",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-pro:generateContent",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"contents\": [\n    {\n      \"parts\": [\n        {\n          \"inline_data\": {\n            \"mime_type\": \"video/mp4\",\n            \"data\": \"{{ $json.data }}\"\n          }\n        },\n        {\n          \"text\": {{ JSON.stringify($('build_final_ig_prompt').item.json.prompt) }}\n        }\n      ]\n    }\n  ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "abcMckGk9RG9i0Ba",
          "name": "Google Gemini"
        }
      },
      "typeVersion": 4.2
    },
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      "name": "set_ig_result",
      "type": "n8n-nodes-base.set",
      "position": [
        1344,
        32
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "eccbeb92-af90-4244-8e23-2cd3e2616a07",
              "name": "result",
              "type": "string",
              "value": "={{ $json.candidates[0].content.parts[0].text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "253c56f0-dfde-4fa8-abe1-3d1c77c473c4",
      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -48,
        -96
      ],
      "parameters": {
        "color": 5,
        "width": 820,
        "height": 540,
        "content": "## 1. Url Input + Build Video Reverse Engineering Prompt\n\nInput a url of any AI generate video on TikTok / Instagram and this automation will:\n1. Download the video using Apify\n2. Convert the video into a base64 string\n3. Make a request into the Gemini Video Understanding API\n4. Reverse engineer the video and generate a Veo 3 prompt to re-create an exact clone of it"
      },
      "typeVersion": 1
    },
    {
      "id": "d12d06e6-4180-4147-8fe7-7646549e0420",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        -304
      ],
      "parameters": {
        "color": 6,
        "width": 840,
        "height": 500,
        "content": "## 2.1 Download Instagram Reel + Analyze Video"
      },
      "typeVersion": 1
    },
    {
      "id": "b328af52-a5fc-47fb-a626-12189cebb917",
      "name": "메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        224
      ],
      "parameters": {
        "color": 3,
        "width": 840,
        "height": 480,
        "content": "## 2.2 Download TikTok + Analyze Video"
      },
      "typeVersion": 1
    },
    {
      "id": "bb780611-a300-4ca0-98a5-e1902c51c6bf",
      "name": "send_prompt_msg",
      "type": "n8n-nodes-base.slack",
      "position": [
        2240,
        128
      ],
      "webhookId": "ca19d833-4129-4c90-a668-295227a9c8ab",
      "parameters": {
        "text": "=*AI Video Generator Prompt:*\n\n```\n{{ $json.permalink }}\n```",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C08KC39K8DR",
          "cachedResultName": "ai-tools-content"
        },
        "otherOptions": {
          "includeLinkToWorkflow": false
        },
        "authentication": "oAuth2"
      },
      "credentials": {
        "slackOAuth2Api": {
          "id": "iKdTzmZ6YuYaaRG4",
          "name": "Slack (OAuth)"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "7c99f7c7-fe79-4344-a273-355cfe26f28e",
      "name": "파일로 변환",
      "type": "n8n-nodes-base.convertToFile",
      "position": [
        1808,
        128
      ],
      "parameters": {
        "options": {},
        "operation": "toText",
        "sourceProperty": "result",
        "binaryPropertyName": "prompt.md"
      },
      "typeVersion": 1.1
    },
    {
      "id": "7a88bdaf-6f5a-4c90-8059-21ffc6e165ba",
      "name": "upload_file",
      "type": "n8n-nodes-base.slack",
      "position": [
        2032,
        128
      ],
      "webhookId": "8fdada13-d12e-4aea-87a7-63382dbb04b0",
      "parameters": {
        "options": {},
        "resource": "file",
        "authentication": "oAuth2",
        "binaryPropertyName": "prompt.md"
      },
      "credentials": {
        "slackOAuth2Api": {
          "id": "iKdTzmZ6YuYaaRG4",
          "name": "Slack (OAuth)"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "a7c4af22-8c48-4fdb-94cd-a553829c0aef",
      "name": "메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1664,
        -96
      ],
      "parameters": {
        "width": 840,
        "height": 540,
        "content": "## 3. Share Final Prompt In Slack"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
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  "versionId": "4081df66-194f-4eb4-9bae-99737300e227",
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}
자주 묻는 질문

이 워크플로우를 어떻게 사용하나요?

위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.

이 워크플로우는 어떤 시나리오에 적합한가요?

고급 - 콘텐츠 제작, AI 요약

유료인가요?

이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.

워크플로우 정보
난이도
고급
노드 수22
카테고리2
노드 유형8
난이도 설명

고급 사용자를 위한 16+개 노드의 복잡한 워크플로우

저자
Lucas Walter

Lucas Walter

@lucaswalter

Chief Automation Officer at The Recap AI. I build the AI systems and agents that power our business and teach others how to use n8n. Check out our YouTube channel linked below!

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