"
}
},
"typeVersion": 1.1
},
{
"id": "5b69b60e-9f4d-4d64-8561-2fad996af8a1",
"name": "If_is_error",
"type": "n8n-nodes-base.if",
"position": [
720,
-208
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "398a0f2d-491b-4d56-ac92-80c30220a9ca",
"operator": {
"type": "boolean",
"operation": "equals"
},
"leftValue": "={{ $json.isError }}",
"rightValue": true
}
]
}
},
"typeVersion": 2.3
},
{
"id": "5233c1b5-0f5f-4512-b603-497813c40e41",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
16,
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],
"parameters": {
"color": 7,
"width": 672,
"height": 464,
"content": "## Step2 - Structure responses into Business Model Canvas\nFormats input and generates 9 canvas elements using AI.\n(Format \u2192 AI generation \u2192 Validate output format for error handling)\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "c5d07994-9696-4789-9c97-82ef9f1ecba8",
"name": "Format Interview Responses",
"type": "n8n-nodes-base.code",
"position": [
64,
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],
"parameters": {
"jsCode": "const phase1 = $('On form submission').item.json;\nconst phase2 = $('Form2').item.json;\nconst phase3 = $('Form3').item.json;\nconst phase4 = $('Form4').item.json;\n\nconst allData = { ...phase1, ...phase2, ...phase3, ...phase4 };\n\nconst formatted = [\n { phase: \"Grasping the Core (Most Important)\", data: Object.entries(phase1) },\n { phase: \"Customer Touchpoints (External Environment)\", data: Object.entries(phase2) },\n { phase: \"Means of Delivery (Internal Environment)\", data: Object.entries(phase3) },\n { phase: \"Money Flow\", data: Object.entries(phase4) },\n];\n\nreturn [{ json: { allData, formatted } }];"
},
"typeVersion": 2
},
{
"id": "d0eaf334-6238-4e0b-a368-bb10d871040c",
"name": "AI Canvas Generator",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
240,
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],
"parameters": {
"text": "=user's answers:\n\n{{ \n$json.formatted\n .map(phase => \n `## ${phase.phase}\\n\\n` + \n phase.data\n .filter(([q]) => !['submittedAt', 'formMode'].includes(q))\n .map(([q, a]) => `Q: ${q}\\nA: ${a}`)\n .join('\\n\\n')\n )\n .join('\\n\\n---\\n\\n') \n}}\n",
"options": {
"systemMessage": "=You are an expert business consultant. Based on the user's answers regarding their business idea, your task is to organize and create the 9 elements of the Business Model Canvas.\n\n## Step 1: Validation (REQUIRED)\n\nBefore generating the Business Model Canvas, you MUST validate the user's answers:\n\n### Validation Criteria\n1. **Relevance Check**: Answers must be related to business/service concepts\n2. **Completeness Check**: Key questions (Customer, Value Proposition, Revenue) must have meaningful answers\n3. **Coherence Check**: Answers should be logically consistent with each other\n\n### Invalid Answer Examples\n- Random text, gibberish, or test data (e.g., \"asdf\", \"test\", \"xxx\")\n- Completely unrelated content (e.g., recipes, song lyrics, jokes)\n- Contradictory information that cannot form a coherent business model\n- Answers that are too vague to extract any business insight (e.g., \"something\", \"anything\")\n\n### Validation Result\n\nIf answers are INVALID, respond ONLY with this JSON format and nothing else:\n```json\n{\n \"status\": \"ERROR\",\n \"reason\": \"Brief explanation of what was wrong\",\n \"message\": \"We were unable to create a Business Model Canvas from your responses. Please provide specific information about your business idea and try again.\"\n}\n```\n\nIf answers are VALID, proceed to Step 2.\n\n---\n\n## Step 2: Generate Business Model Canvas\n\nOnly proceed here if validation passed.\n\n### Rules for Elaboration\nDo not simply transcribe the user's answers. Instead, slightly flesh out the content based on the following perspectives:\n\n1. **Concretize**:\n - If there are vague expressions, infer from the context and add specific details.\n - *Example:* Change \"SNS\" to specific platforms like \"Instagram\" or \"X\" based on the target audience.\n\n2. **Complement**:\n - Add elements that are clearly necessary from the context, even if not explicitly stated in the answers.\n - *Example:* Organize Channels into the flow of \"Awareness -> Purchase -> Delivery\".\n\n3. **Constraints**:\n - Do not interpret in a way that deviates from the user's intent.\n - Do not over-expand the content (keep additions light and relevant).\n - If you add parts based on speculation, mark them as \"(Assumed)\" if necessary.\n\n### Output Format\n\nExtract and organize the information into the following 9 elements:\n\n**\u3010Customer Segments (CS)\u3011**\n* Who are we creating value for?\n\n**\u3010Value Propositions (VP)\u3011**\n* What problems are we solving? What value do we deliver to the customer?\n\n**\u3010Channels (CH)\u3011**\n* How do we reach the customer? (Organize by Awareness -> Purchase -> Delivery)\n\n**\u3010Customer Relationships (CR)\u3011**\n* What type of relationship do we establish with the customer?\n\n**\u3010Revenue Streams (RS)\u3011**\n* How does the business generate income?\n\n**\u3010Key Resources (KR)\u3011**\n* What key assets are required? (Skills, qualifications, equipment, etc.)\n\n**\u3010Key Activities (KA)\u3011**\n* What key activities are necessary to deliver the Value Propositions?\n\n**\u3010Key Partners (KP)\u3011**\n* Who are the external partners or suppliers?\n\n**\u3010Cost Structure (CS)\u3011**\n* What are the major costs involved? (Fixed costs, variable costs, initial investment)"
},
"promptType": "define"
},
"typeVersion": 3.1
},
{
"id": "be1a3b10-6239-4d7d-a014-44961c2b4c8a",
"name": "Validate Canvas Output",
"type": "n8n-nodes-base.code",
"position": [
528,
-208
],
"parameters": {
"jsCode": "const output = $('AI Canvas Generator').item.json.output;\n\nif (output.includes('\"status\": \"ERROR\"') || output.includes('\"status\":\"ERROR\"')) {\n const errorMatch = output.match(/\"message\":\\s*\"([^\"]+)\"/);\n const errorMessage = errorMatch ? errorMatch[1] : 'There was an issue with your input. Please start again from the beginning.';\n \n return [{\n json: {\n isError: true,\n errorMessage\n }\n }];\n}\n\nreturn [{\n json: {\n isError: false,\n canvas: output\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "b3d1aac3-93f4-4c77-be72-ceaefbdfc661",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
704,
-352
],
"parameters": {
"color": 7,
"width": 560,
"height": 464,
"content": "## Step3 - Generate infographic with Gemini\nChecks validation result, then generates canvas image or displays error message\n"
},
"typeVersion": 1
},
{
"id": "29cc87bf-51a1-42e5-9f82-9c475acac715",
"name": "Error End",
"type": "n8n-nodes-base.form",
"position": [
1040,
-224
],
"parameters": {
"options": {},
"operation": "completion",
"completionTitle": "Thank you",
"completionMessage": "=Generated Business Model Canvas
\n\n{{ $json.errorMessage }}\n\n"
},
"typeVersion": 2.5
},
{
"id": "2fa37ef3-e0fe-4fce-87e6-32e6879e1c2d",
"name": "Completed",
"type": "n8n-nodes-base.form",
"position": [
1040,
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],
"parameters": {
"options": {},
"operation": "completion",
"respondWith": "returnBinary",
"completionTitle": "Thank you",
"completionMessage": "=Generated Business Model Canvas
\n\nYou can view it from the link below.
\n\nBusiness Model Canvas is here."
},
"typeVersion": 2.5
},
{
"id": "11539dc1-5189-4b2e-a05f-4f73a23e0b5d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-704,
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],
"parameters": {
"width": 768,
"height": 512,
"content": "# Main\n\n## How it works\nTransform your business idea into a professional Business Model Canvas infographic.\n\n1. User fills out a form with business idea details (value proposition, customers, channels, etc.)\n2. AI node structures the responses into the 9 Business Model Canvas elements\n3. Gemini generates a professional infographic image from the structured canvas\n\nThe form is split into 4 sections: core value, customer touchpoints, delivery methods, and financials.\n\n## Setup steps\n1. Connect your accounts:\n - AWS Bedrock, OpenAI, Anthropic, Azure OpenAI, Google Vertex AI, or Ollama (for canvas generation)\n - Google Gemini API (for image generation)\n2. Set your LLM credentials in the \"AWS Bedrock Chat Model\" node (or replace with your preferred provider).\n3. Set your Gemini API credentials in the \"Generate an image\" node.\n4. Activate the workflow and share the production URL with users."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"availableInMCP": false,
"executionOrder": "v1"
},
"versionId": "f3082a5b-d96d-4cce-8b87-1f8d62ff2cc3",
"connections": {
"Form2": {
"main": [
[
{
"node": "Form3",
"type": "main",
"index": 0
}
]
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},
"Form3": {
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"type": "main",
"index": 0
}
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},
"Form4": {
"main": [
[
{
"node": "Format Interview Responses",
"type": "main",
"index": 0
}
]
]
},
"Completed": {
"main": [
[]
]
},
"If_is_error": {
"main": [
[
{
"node": "Error End",
"type": "main",
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}
],
[
{
"node": "Generate an image",
"type": "main",
"index": 0
}
]
]
},
"Generate an image": {
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{
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"type": "main",
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}
]
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},
"On form submission": {
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"type": "main",
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}
]
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},
"AI Canvas Generator": {
"main": [
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"node": "Validate Canvas Output",
"type": "main",
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}
]
]
},
"AWS Bedrock Chat Model": {
"ai_languageModel": [
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{
"node": "AI Canvas Generator",
"type": "ai_languageModel",
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]
]
},
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"main": [
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{
"node": "If_is_error",
"type": "main",
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}
]
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},
"Format Interview Responses": {
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}