This workflow corresponds to n8n.io template #echo-brand-voice-v1 — we link there as the canonical source.
This workflow follows the Form Trigger → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "Echo Brand Voice Analysis (TASK-017)",
"description": "Analyzes writing samples to extract brand voice profiles. Supports three modes: Personal, Company, or Combined. Output is XML snippet for YGM integration.",
"nodes": [
{
"parameters": {
"formTitle": "Echo Brand Voice Analysis",
"formDescription": "Analyze writing samples to create a brand voice profile for AI agents.",
"formFields": {
"values": [
{
"fieldLabel": "Voice Type",
"fieldType": "dropdown",
"requiredField": true,
"fieldOptions": {
"values": [
{
"option": "personal"
},
{
"option": "company"
},
{
"option": "combined"
}
]
}
},
{
"fieldLabel": "Person Name",
"fieldType": "text",
"requiredField": false,
"placeholder": "e.g., Tyler Fisk (required for personal/combined)"
},
{
"fieldLabel": "Company Name",
"fieldType": "text",
"requiredField": false,
"placeholder": "e.g., Hattie B's (required for company/combined)"
},
{
"fieldLabel": "Writing Samples",
"fieldType": "textarea",
"requiredField": true,
"placeholder": "Paste writing samples here (emails, transcripts, social posts). More samples = better analysis."
},
{
"fieldLabel": "Company Materials",
"fieldType": "textarea",
"requiredField": false,
"placeholder": "For company/combined: Paste brand guidelines, style guide, or marketing copy."
},
{
"fieldLabel": "Skip QC Validation",
"fieldType": "dropdown",
"requiredField": false,
"fieldOptions": {
"values": [
{
"option": "No (Recommended)"
},
{
"option": "Yes (Save ~$0.03)"
}
]
}
}
]
}
},
"id": "trigger",
"name": "Manual Trigger",
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.1,
"position": [
240,
300
],
"notes": "Entry point for brand voice analysis.\n\nVoice Types:\n- personal: Analyze individual's voice\n- company: Analyze company brand voice\n- combined: Personal voice at company context"
},
{
"parameters": {
"mode": "manual",
"assignments": {
"assignments": [
{
"id": "claude-key",
"name": "claude_api_key",
"value": "YOUR_CLAUDE_API_KEY",
"type": "string"
},
{
"id": "analyzer-prompt",
"name": "analyzer_prompt",
"value": "See assets/prompt-library/agents/echo-analyzer.md for full prompt",
"type": "string"
},
{
"id": "formatter-prompt",
"name": "formatter_prompt",
"value": "See assets/prompt-library/agents/echo-formatter.md for full prompt",
"type": "string"
},
{
"id": "validator-prompt",
"name": "validator_prompt",
"value": "See assets/prompt-library/agents/echo-validator.md for full prompt",
"type": "string"
},
{
"id": "min-words",
"name": "min_word_count",
"value": 500,
"type": "number"
}
]
}
},
"id": "config",
"name": "Configuration",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
460,
300
],
"notes": "CONFIGURE HERE:\n\n1. Replace YOUR_CLAUDE_API_KEY\n2. Copy prompts from assets/prompt-library/agents/echo-*.md\n3. Adjust min_word_count if needed"
},
{
"parameters": {
"jsCode": "// Validate input fields\nconst input = $('Manual Trigger').first().json;\nconst minWords = $('Configuration').first().json.min_word_count || 500;\nconst errors = [];\n\nconst voiceType = input['Voice Type'] || '';\nconst personName = input['Person Name'] || '';\nconst companyName = input['Company Name'] || '';\nconst writingSamples = input['Writing Samples'] || '';\nconst companyMaterials = input['Company Materials'] || '';\nconst skipQC = input['Skip QC Validation'] === 'Yes (Save ~$0.03)';\n\n// Check voice type\nif (!['personal', 'company', 'combined'].includes(voiceType)) {\n errors.push({\n field: 'Voice Type',\n message: 'Must select personal, company, or combined'\n });\n}\n\n// Check required names based on voice type\nif (voiceType === 'personal' && !personName.trim()) {\n errors.push({\n field: 'Person Name',\n message: 'Person Name required for personal voice type'\n });\n}\n\nif (voiceType === 'company' && !companyName.trim()) {\n errors.push({\n field: 'Company Name',\n message: 'Company Name required for company voice type'\n });\n}\n\nif (voiceType === 'combined') {\n if (!personName.trim()) {\n errors.push({\n field: 'Person Name',\n message: 'Person Name required for combined voice type'\n });\n }\n if (!companyName.trim()) {\n errors.push({\n field: 'Company Name',\n message: 'Company Name required for combined voice type'\n });\n }\n}\n\n// Check writing samples\nif (!writingSamples.trim()) {\n errors.push({\n field: 'Writing Samples',\n message: 'Writing samples are required'\n });\n} else {\n const wordCount = writingSamples.split(/\\s+/).length;\n if (wordCount < minWords) {\n errors.push({\n field: 'Writing Samples',\n message: `Minimum ${minWords} words required. Found ${wordCount} words.`\n });\n }\n}\n\n// Check company materials for company/combined\nif (['company', 'combined'].includes(voiceType) && !companyMaterials.trim()) {\n // Warning, not error\n console.log('Warning: Company materials recommended for company/combined voice type');\n}\n\n// Return result\nif (errors.length > 0) {\n return [{\n json: {\n validation_passed: false,\n errors: errors,\n message: 'Input validation failed'\n }\n }];\n}\n\n// Validation passed - normalize inputs\nreturn [{\n json: {\n validation_passed: true,\n voice_type: voiceType,\n student_name: personName.trim(),\n company_name: companyName.trim(),\n writing_samples: writingSamples.trim(),\n company_materials: companyMaterials.trim(),\n skip_qc: skipQC,\n word_count: writingSamples.split(/\\s+/).length,\n retry_count: 0\n }\n}];"
},
"id": "validate-input",
"name": "Validate Input",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
680,
300
],
"notes": "Validates:\n- Voice type selection\n- Required names for each type\n- Minimum word count in samples\n- Company materials for company/combined"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "validation-check",
"leftValue": "={{ $json.validation_passed }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "equals"
}
}
]
}
},
"id": "check-validation",
"name": "Validation OK?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
900,
300
],
"notes": "Routes based on validation:\n- TRUE: Continue to Option Router\n- FALSE: Return error"
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "personal-check",
"leftValue": "={{ $json.voice_type }}",
"rightValue": "personal",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
},
"renameOutput": true,
"outputKey": "personal"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "company-check",
"leftValue": "={{ $json.voice_type }}",
"rightValue": "company",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
},
"renameOutput": true,
"outputKey": "company"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "combined-check",
"leftValue": "={{ $json.voice_type }}",
"rightValue": "combined",
"operator": {
"type": "string",
"operation": "equals"
}
}
]
},
"renameOutput": true,
"outputKey": "combined"
}
]
}
},
"id": "option-router",
"name": "Option Router",
"type": "n8n-nodes-base.switch",
"typeVersion": 3,
"position": [
1120,
200
],
"notes": "Routes to appropriate analysis path:\n- personal: Individual voice analysis\n- company: Brand voice analysis\n- combined: Hybrid analysis"
},
{
"parameters": {
"jsCode": "// Build personal voice analysis prompt\nconst input = $input.first().json;\nconst analyzerPrompt = $('Configuration').first().json.analyzer_prompt;\n\n// Personal-specific context\nconst context = `## Personal Voice Analysis Mode\n\nYou are analyzing writing samples to extract **${input.student_name}'s personal voice**.\n\n**Goal**: Create a voice profile that makes AI write exactly like ${input.student_name} - capturing their unique personality, quirks, and communication style.\n\n**Input Focus**:\n- Personal emails, messages, transcripts\n- Social media posts\n- Any authentic communication in their natural voice\n\n**Output Focus**:\n- Individual linguistic patterns\n- Personal vocabulary and phrases\n- Emotional expression style\n- Personality traits through language`;\n\nreturn [{\n json: {\n ...input,\n analysis_context: context,\n system_prompt: analyzerPrompt\n }\n}];"
},
"id": "build-personal-prompt",
"name": "Build Personal Prompt",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1340,
80
],
"notes": "Builds personal voice analysis context"
},
{
"parameters": {
"jsCode": "// Build company voice analysis prompt\nconst input = $input.first().json;\nconst analyzerPrompt = $('Configuration').first().json.analyzer_prompt;\n\n// Company-specific context\nconst context = `## Company Voice Analysis Mode\n\nYou are analyzing materials to extract the **${input.company_name} brand voice**.\n\n**Goal**: Create a voice profile usable by any employee writing as this company - consistent, professional, and aligned with brand values.\n\n**Input Focus**:\n- Brand style guides\n- Marketing copy and website content\n- Approved customer communications\n- Social media guidelines\n\n**Output Focus**:\n- Company tone and personality\n- Brand-specific vocabulary\n- Communication guidelines\n- Consistency requirements across channels`;\n\nreturn [{\n json: {\n ...input,\n analysis_context: context,\n system_prompt: analyzerPrompt\n }\n}];"
},
"id": "build-company-prompt",
"name": "Build Company Prompt",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1340,
200
],
"notes": "Builds company voice analysis context"
},
{
"parameters": {
"jsCode": "// Build combined voice analysis prompt\nconst input = $input.first().json;\nconst analyzerPrompt = $('Configuration').first().json.analyzer_prompt;\n\n// Combined-specific context\nconst context = `## Combined Voice Analysis Mode\n\nYou are analyzing samples to extract **${input.student_name}'s voice when representing ${input.company_name}**.\n\n**Goal**: Create a hybrid profile - ${input.student_name}'s authentic personality filtered through ${input.company_name}'s brand constraints.\n\n**Input Focus**:\n- ${input.student_name}'s personal writing samples\n- ${input.company_name}'s brand guidelines/materials\n- (Optional) Past communications as company representative\n\n**Output Focus**:\n- Personal patterns that complement company voice\n- Where personal style enhances brand communication\n- Conflict resolution between personal and company preferences\n- Contextual switching guidance (internal vs external)\n\n**Constraint Hierarchy**:\n1. Company constraints are HARD boundaries (never violate)\n2. Personal patterns applied WITHIN those boundaries\n3. When conflict exists: Company wins, but FLAG the conflict`;\n\nreturn [{\n json: {\n ...input,\n analysis_context: context,\n system_prompt: analyzerPrompt\n }\n}];"
},
"id": "build-combined-prompt",
"name": "Build Combined Prompt",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1340,
320
],
"notes": "Builds combined voice analysis context with constraint hierarchy"
},
{
"parameters": {
"jsCode": "// Merge paths back together\nconst items = $input.all();\nif (items.length === 0) {\n throw new Error('No input received');\n}\nreturn items;"
},
"id": "merge-paths",
"name": "Merge Paths",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1560,
200
],
"notes": "Merges the three voice type paths back to single flow"
},
{
"parameters": {
"method": "POST",
"url": "https://api.anthropic.com/v1/messages",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Configuration').first().json.claude_api_key }}"
},
{
"name": "anthropic-version",
"value": "2023-06-01"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"claude-sonnet-4-20250514\",\n \"max_tokens\": 8000,\n \"temperature\": 0.6,\n \"system\": {{ JSON.stringify($json.analysis_context + '\\n\\n' + $json.system_prompt) }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify('Analyze the following writing samples and produce a comprehensive voice profile in JSON format.\\n\\n---\\n\\nWRITING SAMPLES:\\n' + $json.writing_samples + ($json.company_materials ? '\\n\\n---\\n\\nCOMPANY MATERIALS:\\n' + $json.company_materials : '')) }}\n }\n ]\n}",
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "json"
}
}
}
},
"id": "phase1-analysis",
"name": "Phase 1+2: Deep Analysis",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1780,
200
],
"notes": "Phase 1+2: Deep linguistic analysis + voice extraction.\n\nModel: Claude Sonnet\nTemp: 0.6 (balance thoroughness with consistency)\nMax Tokens: 8000"
},
{
"parameters": {
"jsCode": "// Extract analysis JSON from Claude response\nconst input = $('Merge Paths').first().json;\nconst httpResponse = $input.first().json;\nconst response = httpResponse.body || httpResponse;\n\n// Check for API errors\nif (response.error) {\n return [{\n json: {\n ...input,\n phase1_success: false,\n phase1_error: response.error.message || 'Claude API error'\n }\n }];\n}\n\n// Extract text from Claude response\nconst content = response.content?.[0]?.text || '';\n\n// Try to parse JSON from response\nlet analysisJson = null;\ntry {\n // Look for JSON in the response\n const jsonMatch = content.match(/\\{[\\s\\S]*\\}/);\n if (jsonMatch) {\n analysisJson = JSON.parse(jsonMatch[0]);\n }\n} catch (e) {\n console.log('JSON parse error:', e.message);\n}\n\nreturn [{\n json: {\n ...input,\n phase1_success: !!analysisJson,\n phase1_raw: content,\n analysis_json: analysisJson,\n phase1_error: analysisJson ? null : 'Could not parse JSON from analysis'\n }\n}];"
},
"id": "parse-analysis",
"name": "Parse Analysis",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2000,
200
],
"notes": "Extracts and parses JSON analysis from Claude response"
},
{
"parameters": {
"method": "POST",
"url": "https://api.anthropic.com/v1/messages",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Configuration').first().json.claude_api_key }}"
},
{
"name": "anthropic-version",
"value": "2023-06-01"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"claude-sonnet-4-20250514\",\n \"max_tokens\": 2000,\n \"temperature\": 0.3,\n \"system\": {{ JSON.stringify($('Configuration').first().json.formatter_prompt) }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify('Convert the following voice analysis JSON into an XML BrandVoice snippet. Maximum 1000 words. Output ONLY the XML, no introduction or explanation.\\n\\n' + JSON.stringify($json.analysis_json, null, 2)) }}\n }\n ]\n}",
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "json"
}
}
}
},
"id": "phase3-formatter",
"name": "Phase 3: XML Generation",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
2220,
200
],
"notes": "Phase 3: Generate XML brand voice snippet.\n\nModel: Claude Sonnet\nTemp: 0.3 (low for consistent formatting)\nMax Tokens: 2000"
},
{
"parameters": {
"jsCode": "// Extract XML from formatter response\nconst input = $('Parse Analysis').first().json;\nconst httpResponse = $input.first().json;\nconst response = httpResponse.body || httpResponse;\n\n// Check for API errors\nif (response.error) {\n return [{\n json: {\n ...input,\n phase3_success: false,\n phase3_error: response.error.message || 'Claude API error'\n }\n }];\n}\n\n// Extract text from Claude response\nconst content = response.content?.[0]?.text || '';\n\n// Look for XML in response\nconst xmlMatch = content.match(/<BrandVoice[\\s\\S]*<\\/BrandVoice>/);\nconst xmlOutput = xmlMatch ? xmlMatch[0] : content;\n\n// Count words in XML\nconst wordCount = xmlOutput.split(/\\s+/).length;\n\nreturn [{\n json: {\n ...input,\n phase3_success: !!xmlMatch,\n brand_voice_xml: xmlOutput,\n xml_word_count: wordCount,\n phase3_error: xmlMatch ? null : 'Could not extract XML from response'\n }\n}];"
},
"id": "parse-xml",
"name": "Parse XML",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2440,
200
],
"notes": "Extracts XML brand voice snippet from formatter response"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "skip-qc-check",
"leftValue": "={{ $json.skip_qc }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "equals"
}
}
]
}
},
"id": "check-skip-qc",
"name": "Skip QC?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
2660,
200
],
"notes": "Check if user opted to skip QC validation.\n\nTRUE: Skip to output\nFALSE: Run Phase 4 validation"
},
{
"parameters": {
"method": "POST",
"url": "https://api.anthropic.com/v1/messages",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Configuration').first().json.claude_api_key }}"
},
{
"name": "anthropic-version",
"value": "2023-06-01"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"claude-sonnet-4-20250514\",\n \"max_tokens\": 2000,\n \"temperature\": 0,\n \"system\": {{ JSON.stringify($('Configuration').first().json.validator_prompt) }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify('Validate the following brand voice profile. Output your validation report as JSON.\\n\\n' + $json.brand_voice_xml) }}\n }\n ]\n}",
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "json"
}
}
}
},
"id": "phase4-validator",
"name": "Phase 4: QC Validation",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
2880,
300
],
"notes": "Phase 4: Quality validation with emulation test.\n\nModel: Claude Sonnet\nTemp: 0.0 (CRITICAL - deterministic)\nMax Tokens: 2000"
},
{
"parameters": {
"jsCode": "// Parse validation response and determine pass/fail\nconst input = $('Parse XML').first().json;\nconst httpResponse = $input.first().json;\nconst response = httpResponse.body || httpResponse;\n\n// Check for API errors\nif (response.error) {\n return [{\n json: {\n ...input,\n validation_result: 'ERROR',\n validation_error: response.error.message\n }\n }];\n}\n\n// Extract validation JSON\nconst content = response.content?.[0]?.text || '';\nlet validationJson = null;\n\ntry {\n const jsonMatch = content.match(/\\{[\\s\\S]*\\}/);\n if (jsonMatch) {\n validationJson = JSON.parse(jsonMatch[0]);\n }\n} catch (e) {\n console.log('Validation JSON parse error:', e.message);\n}\n\nconst result = validationJson?.validation_result || 'UNKNOWN';\nconst corrections = validationJson?.corrections_needed || [];\n\nreturn [{\n json: {\n ...input,\n validation_result: result,\n validation_details: validationJson,\n corrections_needed: corrections,\n qc_passed: result === 'PASS'\n }\n}];"
},
"id": "parse-validation",
"name": "Parse Validation",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3100,
300
],
"notes": "Parses QC validation result and determines pass/fail"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "qc-passed",
"leftValue": "={{ $json.qc_passed }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "equals"
}
}
],
"combinator": "or"
}
},
"id": "check-qc-result",
"name": "QC Passed?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
3320,
300
],
"notes": "Routes based on QC result:\n- PASS: Continue to output\n- FAIL: Check retry count"
},
{
"parameters": {
"jsCode": "// Check if we can retry\nconst input = $input.first().json;\nconst retryCount = input.retry_count || 0;\n\nif (retryCount >= 1) {\n // Max retries reached - output with warning\n return [{\n json: {\n ...input,\n can_retry: false,\n output_status: 'WARN_QC_FAILED',\n message: 'QC validation failed after retry. Output may need manual review.'\n }\n }];\n}\n\n// Can retry - increment counter\nreturn [{\n json: {\n ...input,\n retry_count: retryCount + 1,\n can_retry: true\n }\n}];"
},
"id": "check-retry",
"name": "Check Retry",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3540,
400
],
"notes": "Checks if retry is available (max 1 retry).\n\nIf retry available, route back to Phase 3.\nIf max retries, continue with warning."
},
{
"parameters": {
"jsCode": "// Format final output\nconst input = $input.first().json;\n\n// Determine status\nlet status = 'SUCCESS';\nlet message = 'Brand voice profile generated successfully';\n\nif (input.output_status === 'WARN_QC_FAILED') {\n status = 'WARN';\n message = 'Profile generated but QC validation failed. Review recommended.';\n} else if (!input.phase3_success) {\n status = 'ERROR';\n message = 'Failed to generate XML output';\n} else if (!input.phase1_success) {\n status = 'ERROR';\n message = 'Failed to complete analysis';\n}\n\nreturn [{\n json: {\n status: status,\n message: message,\n voice_type: input.voice_type,\n subject: input.student_name || input.company_name,\n company: input.company_name || null,\n brand_voice_xml: input.brand_voice_xml,\n xml_word_count: input.xml_word_count,\n qc_result: input.validation_result || 'SKIPPED',\n qc_details: input.validation_details || null,\n analysis_summary: input.analysis_json?.analysis_summary || null,\n generated_at: new Date().toISOString(),\n usage_instructions: {\n ygm_integration: 'Inject <BrandVoice> block into YGM system prompt under <PersonaAndVoiceDeepDive> section',\n golden_threads: 'Extract <golden_threads> for Content Finalizer technique',\n next_step: 'Test voice by drafting sample content'\n }\n }\n}];"
},
"id": "format-output",
"name": "Format Output",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3760,
200
],
"notes": "Formats final output with:\n- Brand voice XML\n- QC result\n- Usage instructions\n- Timestamps"
},
{
"parameters": {
"mode": "manual",
"assignments": {
"assignments": [
{
"id": "error-status",
"name": "status",
"value": "ERROR",
"type": "string"
},
{
"id": "error-message",
"name": "message",
"value": "={{ $('Validate Input').first().json.message }}",
"type": "string"
},
{
"id": "errors",
"name": "errors",
"value": "={{ $('Validate Input').first().json.errors }}",
"type": "array"
}
]
}
},
"id": "error-output",
"name": "Error Output",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1120,
420
],
"notes": "Returns validation errors to user"
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Configuration",
"type": "main",
"index": 0
}
]
]
},
"Configuration": {
"main": [
[
{
"node": "Validate Input",
"type": "main",
"index": 0
}
]
]
},
"Validate Input": {
"main": [
[
{
"node": "Validation OK?",
"type": "main",
"index": 0
}
]
]
},
"Validation OK?": {
"main": [
[
{
"node": "Option Router",
"type": "main",
"index": 0
}
],
[
{
"node": "Error Output",
"type": "main",
"index": 0
}
]
]
},
"Option Router": {
"main": [
[
{
"node": "Build Personal Prompt",
"type": "main",
"index": 0
}
],
[
{
"node": "Build Company Prompt",
"type": "main",
"index": 0
}
],
[
{
"node": "Build Combined Prompt",
"type": "main",
"index": 0
}
]
]
},
"Build Personal Prompt": {
"main": [
[
{
"node": "Merge Paths",
"type": "main",
"index": 0
}
]
]
},
"Build Company Prompt": {
"main": [
[
{
"node": "Merge Paths",
"type": "main",
"index": 0
}
]
]
},
"Build Combined Prompt": {
"main": [
[
{
"node": "Merge Paths",
"type": "main",
"index": 0
}
]
]
},
"Merge Paths": {
"main": [
[
{
"node": "Phase 1+2: Deep Analysis",
"type": "main",
"index": 0
}
]
]
},
"Phase 1+2: Deep Analysis": {
"main": [
[
{
"node": "Parse Analysis",
"type": "main",
"index": 0
}
]
]
},
"Parse Analysis": {
"main": [
[
{
"node": "Phase 3: XML Generation",
"type": "main",
"index": 0
}
]
]
},
"Phase 3: XML Generation": {
"main": [
[
{
"node": "Parse XML",
"type": "main",
"index": 0
}
]
]
},
"Parse XML": {
"main": [
[
{
"node": "Skip QC?",
"type": "main",
"index": 0
}
]
]
},
"Skip QC?": {
"main": [
[
{
"node": "Format Output",
"type": "main",
"index": 0
}
],
[
{
"node": "Phase 4: QC Validation",
"type": "main",
"index": 0
}
]
]
},
"Phase 4: QC Validation": {
"main": [
[
{
"node": "Parse Validation",
"type": "main",
"index": 0
}
]
]
},
"Parse Validation": {
"main": [
[
{
"node": "QC Passed?",
"type": "main",
"index": 0
}
]
]
},
"QC Passed?": {
"main": [
[
{
"node": "Format Output",
"type": "main",
"index": 0
}
],
[
{
"node": "Check Retry",
"type": "main",
"index": 0
}
]
]
},
"Check Retry": {
"main": [
[
{
"node": "Format Output",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateId": "echo-brand-voice-v1",
"templateCredsSetupCompleted": false
},
"tags": [
{
"name": "brand-voice"
},
{
"name": "echo"
},
{
"name": "session-1"
},
{
"name": "task-017"
}
],
"staticData": null,
"versionId": "1"
}
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About this workflow
Echo Brand Voice Analysis (TASK-017). Uses formTrigger, httpRequest. Event-driven trigger; 20 nodes.
Source: https://github.com/8Dvibes/mindvalley-ai-mastery-students/blob/main/workflows/echo-brand-voice-v1-2025-11-27.json — original creator credit. Request a take-down →
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