{
"name": "Echo Brand Voice Analysis (Processor) - TASK-074 Dec 10 Fix",
"nodes": [
{
"parameters": {
"path": "echo-brand-voice-trigger",
"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",
"fieldOptions": {
"values": [
{
"option": "personal"
},
{
"option": "company"
},
{
"option": "combined"
}
]
},
"requiredField": true
},
{
"fieldLabel": "Person Name",
"placeholder": "e.g., Tyler Fisk (required for personal/combined)"
},
{
"fieldLabel": "Company Name",
"placeholder": "e.g., Hattie B's (required for company/combined)"
},
{
"fieldLabel": "Writing Samples",
"fieldType": "textarea",
"placeholder": "Paste writing samples here (emails, transcripts, social posts). More samples = better analysis.",
"requiredField": true
},
{
"fieldLabel": "Company Materials",
"fieldType": "textarea",
"placeholder": "For company/combined: Paste brand guidelines, style guide, or marketing copy."
},
{
"fieldLabel": "Skip QC Validation",
"fieldType": "dropdown",
"fieldOptions": {
"values": [
{
"option": "No (Recommended)"
},
{
"option": "Yes (Save ~$0.03)"
}
]
}
}
]
},
"options": {}
},
"id": "8ecc78ac-790e-4c44-8360-175e04a96ea2",
"name": "Manual Trigger",
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.1,
"position": [
-1104,
1056
],
"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": {
"assignments": {
"assignments": [
{
"id": "claude-key",
"name": "claude_api_key",
"value": "REPLACE_WITH_YOUR_ANTHROPIC_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": "\n\nEcho - Brand Voice Formatter\n1.0\n2025-11-27\n3 (XML Generation)\n\n\n\nYou are a precision formatter that transforms JSON brand voice analysis into optimized XML snippets. Your output will be injected directly into AI agent system prompts, so every word must serve a purpose.\n\nYou prioritize:\n- Token efficiency (\u22641000 words strict limit)\n- Actionable specificity (AI can implement your guidelines)\n- Structured consistency (XML schema must be followed exactly)\n\n\n\nYou will receive a JSON object from the Echo Analyzer containing:\n- voice_type, subject information\n- analysis_summary\n- linguistic_profile\n- vocabulary_compilation\n- dos_and_donts\n- emotional_range\n- contextual_variations\n- golden_threads\n- quantitative_anchors\n- conflict_resolutions (for combined type only)\n\n\n\n## Required XML Structure\n\nYour output MUST follow this exact schema:\n\n\n\n \n [100-150 word essence of this voice. Must be specific enough that\n reading this alone gives a clear sense of the voice character.]\n \n\n \n [Core motivation - weave throughout content]\n [Secondary motivation]\n [Tertiary motivation if applicable]\n \n\n \n \n [Characteristic name]\n [Brief description with example]\n \n \n \n\n \n [Primary tone descriptor - secondary descriptor]\n \n \n [Comma-separated words and phrases TO AVOID]\n \n [Description of sentence structure patterns]\n [Person, voice, storytelling pattern]\n \n\n \n [Specific pattern with example from samples]\n \n \n\n \n [Comma-separated emotions]\n [low|medium|high]\n [How emotions are expressed linguistically]\n \n\n \n [Action] - [Brief justification]\n \n [Avoidance] - [Brief justification]\n \n \n\n \n \n [How voice adapts for formal contexts]\n \n \n [How voice adapts for casual contexts]\n \n \n\n \n \n Company constraints are HARD boundaries - never violate\n Personal patterns apply WITHIN company boundaries\n \n \n [Pattern that conflicts]\n [Constraint it violates]\n [How to handle]\n \n \n \n\n \n [1-2 sentence primary goal of this voice in AI communications]\n \n\n\n\n\n\n## Critical Formatting Rules\n\n1. **Word Limit**: Maximum 1000 words. Count before finalizing.\n\n2. **Specificity Over Generality**:\n - BAD: \"Use a friendly tone\"\n - GOOD: \"Use contractions, first-person plural ('we'), and end sentences with enthusiasm\"\n\n3. **Examples Are Required**: Every pattern should include at least one example phrase or word.\n\n4. **Quantify When Possible**:\n - BAD: \"Mix sentence lengths\"\n - GOOD: \"Alternate between short (5-8 words) and medium (12-18 words) sentences\"\n\n5. **Golden Threads Must Be Concrete**:\n - BAD: \"Cares about customers\"\n - GOOD: \"Financial security for the family - reference savings, investment, long-term value\"\n\n6. **Dos/Don'ts Must Be Actionable**:\n - BAD: \"Don't be boring\"\n - GOOD: \"Don't use passive voice - always use active constructions\"\n\n7. **No Filler**: Every word must add value. Cut phrases like:\n - \"It's important to note that...\"\n - \"When writing, remember to...\"\n - \"The voice is characterized by...\"\n\n\n\n## Formatting Process\n\n1. **Parse Input JSON**: Extract all relevant fields from the analyzer output.\n\n2. **Distill to Essentials**: The analyzer provides comprehensive data. Your job is to compress to the most impactful elements.\n\n3. **Prioritize by Impact**:\n - Golden threads (used for narrative weaving)\n - Dos/Don'ts (direct AI instructions)\n - Voice attributes (tone, diction)\n - Language patterns (specific examples)\n\n4. **Apply Schema**: Format into the exact XML structure required.\n\n5. **Word Count Check**: Count words. If over 1000, cut:\n - Redundant examples\n - Secondary characteristics\n - Verbose descriptions\n\n6. **Validate Structure**: Ensure all required tags are present and properly nested.\n\n7. **Output XML Only**: Return only the XML block. No introduction, no explanation.\n\n\n\nBefore outputting, verify:\n- [ ] Word count \u22641000\n- [ ] All required XML tags present\n- [ ] At least 3 golden threads\n- [ ] At least 3 dos AND 3 don'ts\n- [ ] Specific examples included\n- [ ] No generic filler phrases\n- [ ] Proper XML nesting and closure\n",
"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"
}
]
},
"options": {}
},
"id": "b0bd702a-2bb5-453f-b756-971f076af931",
"name": "Configuration",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-880,
1056
],
"notes": "CONFIGURE HERE:\n\n1. Replace REPLACE_WITH_YOUR_ANTHROPIC_API_KEY with your actual API key from console.anthropic.com\n2. Copy prompts from assets/prompt-library/agents/echo-*.md\n3. Adjust min_word_count if needed"
},
{
"parameters": {
"jsCode": "// Validate input fields\n// Handle both Manual Trigger (form) and Normalize External Input (Execute Workflow) paths\nlet input;\ntry {\n input = $('Manual Trigger').first().json;\n} catch (e) {\n // Called via Execute Workflow - use Normalize External Input\n input = $('Normalize External Input').first().json;\n}\n\nconst minWords = $('Configuration').first().json.min_word_count || 500;\nconst errors = [];\nconst config = $('Configuration').first().json;\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// Preserve student_email from Normalize External Input\nconst studentEmail = input.student_email || 'your-email@example.com';\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 student_email: studentEmail\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 claude_api_key: config.claude_api_key,\n analyzer_prompt: config.analyzer_prompt,\n formatter_prompt: config.formatter_prompt,\n validator_prompt: config.validator_prompt,\n min_word_count: config.min_word_count,\n retry_count: 0,\n student_email: studentEmail\n }\n}];"
},
"id": "75e6dc14-b0a2-4cb1-ae1c-8e16c9a8c84e",
"name": "Validate Input",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-656,
1056
],
"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"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "f95cb263-ff27-4165-8904-df086b2bc4f7",
"name": "Validation OK?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
-432,
1056
],
"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"
}
]
},
"options": {}
},
"id": "3b8d6037-df09-4e4c-98b6-247fdd15e1a9",
"name": "Option Router",
"type": "n8n-nodes-base.switch",
"typeVersion": 3,
"position": [
-208,
928
],
"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": "b5bf4092-3351-4eaf-b8eb-33c26861aeb8",
"name": "Build Personal Prompt",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
16,
752
],
"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": "470f9081-10de-4660-99db-fe32a97ec8a2",
"name": "Build Company Prompt",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
16,
944
],
"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": "6ee1465d-6306-483f-8a2c-b0785d464b21",
"name": "Build Combined Prompt",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
16,
1136
],
"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": "578fccde-ef86-4a07-aea2-cf1da962f8e0",
"name": "Merge Paths",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
240,
944
],
"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": "={{ $('Configuration').first().json.claude_api_key }}"
},
{
"name": "anthropic-version",
"value": "2023-06-01"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"claude-sonnet-4-5-20250929\",\n \"max_tokens\": 4000,\n \"temperature\": 0.3,\n \"system\": {{ JSON.stringify($('Configuration').first().json.formatter_prompt) }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify('Generate an XML brand voice snippet from the following analysis data. Output ONLY the XML starting with and ending with .\\n\\nAnalysis Data:\\n' + JSON.stringify($json, null, 2)) }}\n }\n ]\n}",
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "json"
}
}
}
},
"id": "a42e6d7a-7e4d-497e-963d-59313de12d6b",
"name": "Phase 3: XML Generation",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
912,
848
],
"notes": "Phase 3: Generate XML brand voice snippet.\n\nModel: Claude Sonnet 4.5\nTemp: 0.3 (low for consistent formatting)\nMax Tokens: 2000"
},
{
"parameters": {
"jsCode": "// Extract XML from formatter response\nconst input = $('Merge Analyses').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(//);\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": "73dedb60-6887-44e4-abba-0c9516762618",
"name": "Parse XML",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1136,
848
],
"notes": "Extracts XML brand voice snippet from formatter response"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "always-skip-qc",
"leftValue": "={{ true }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "abc6f163-9676-4aba-8b15-541c97864f8d",
"name": "Skip QC?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1360,
848
],
"notes": "TEMPORARY: Always skip QC for demo.\n\nOriginal condition was: $json.skip_qc === true\n\nTo restore: Change leftValue back to \"={{ $json.skip_qc }}\""
},
{
"parameters": {
"method": "POST",
"url": "https://api.anthropic.com/v1/messages",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Configuration').first().json.claude_api_key }}"
},
{
"name": "anthropic-version",
"value": "2023-06-01"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"model\": \"claude-sonnet-4-5-20250929\",\n \"max_tokens\": 2000,\n \"temperature\": 0,\n \"system\": {{ JSON.stringify($('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": "d8066cfd-c5c0-4a99-8ee6-2b9d78d6a07f",
"name": "Phase 4: QC Validation",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1584,
912
],
"notes": "Phase 4: Quality validation with emulation test.\n\nModel: Claude Sonnet 4.5\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": "215f4b87-a07f-43d6-9a87-618b58e60448",
"name": "Parse Validation",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1808,
912
],
"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"
},
"options": {}
},
"id": "01971b4b-203a-448e-8b5e-79a0b877ca38",
"name": "QC Passed?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
2032,
912
],
"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": "5c9b1c1a-0714-4ece-afa8-0528b5f251f2",
"name": "Check Retry",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2256,
992
],
"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 block into YGM system prompt under section',\n golden_threads: 'Extract for Content Finalizer technique',\n next_step: 'Test voice by drafting sample content'\n }\n }\n}];"
},
"id": "0f3f3cd8-7cdb-43d5-8265-6bdd81fb2dd8",
"name": "Format Output",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2480,
848
],
"notes": "Formats final output with:\n- Brand voice XML\n- QC result\n- Usage instructions\n- Timestamps"
},
{
"parameters": {
"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"
}
]
},
"options": {}
},
"id": "a4e12c09-08b4-40e6-a1a2-a77a1f8c2b8f",
"name": "Error Output",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-208,
1152
],
"notes": "Returns validation errors to user"
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze SENTENCE STRUCTURE.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY sentence structure - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the SENTENCE STRUCTURE in these writing samples.\\n\\nFocus on:\\n- Average sentence length (count words)\\n- Sentence length variation (short vs medium vs long)\\n- Distribution (% short 1-10 words, % medium 11-25, % long 26+)\\n- Structural patterns (simple, compound, complex)\\n- Rhythm and flow\\n\\nProvide quantitative metrics and specific examples.\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "06acfec8-3491-40c8-94de-86187eb6a30b",
"name": "Step 1: Sentence Structure",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
-304
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze VOCABULARY and WORD CHOICE.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY vocabulary and word choice - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the VOCABULARY and WORD CHOICE in these samples.\\n\\nFocus on:\\n- Vocabulary level (casual, professional, technical, mixed)\\n- Unique word percentage (lexical diversity)\\n- Technical terms frequency\\n- Colloquialisms frequency\\n- Favorite/signature words (with counts)\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "fe4a6912-6cce-4889-9348-b5337c6577b3",
"name": "Step 2: Vocabulary",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
-112
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze TONE and MOOD.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY tone and mood - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the TONE and MOOD in these samples.\\n\\nFocus on:\\n- Primary tone characteristics (enthusiastic, formal, supportive, etc.)\\n- Emotional undercurrent\\n- Effect on reader (how it makes them feel)\\n- Mood progression (opening, middle, closing patterns)\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "1008a117-9df5-486b-a5f7-1c077c5497ad",
"name": "Step 3: Tone & Mood",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
80
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze SYNTAX and GRAMMAR patterns.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY syntax and grammar - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the SYNTAX and GRAMMAR patterns in these samples.\\n\\nFocus on:\\n- Punctuation habits (semicolons, dashes, exclamation points)\\n- Grammar preferences (formal vs relaxed)\\n- Contraction usage\\n- Sentence starters and transitions\\n- Active vs passive voice\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "98f66a5f-dfdb-4534-af30-af31cd0eccff",
"name": "Step 4: Syntax & Grammar",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
272
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze SEMANTIC PATTERNS.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY semantic patterns - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the SEMANTIC PATTERNS in these samples.\\n\\nFocus on:\\n- Connotative vs denotative language\\n- Abstract vs concrete concepts\\n- Metaphorical frameworks used\\n- Emphasis techniques\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "d00a62fd-7636-4823-a9f0-b632c1ccbcfa",
"name": "Step 5: Semantic Patterns",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
464
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze PRAGMATIC ELEMENTS.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY pragmatic elements - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the PRAGMATIC ELEMENTS in these samples.\\n\\nFocus on:\\n- Direct vs indirect address (\\\"you\\\" vs \\\"one\\\")\\n- Inclusive language (\\\"we\\\", \\\"us\\\", \\\"together\\\", \\\"y'all\\\")\\n- Persuasion techniques\\n- Engagement strategies (questions, calls to action)\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "7df974bd-a6b4-4326-a30e-5895b03570ee",
"name": "Step 6: Pragmatic Elements",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
656
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze STYLISTIC DEVICES.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY stylistic devices - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the STYLISTIC DEVICES in these samples.\\n\\nFocus on:\\n- Metaphors and analogies\\n- Alliteration and repetition\\n- Rhetorical questions\\n- Humor usage\\n- Parenthetical asides\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "eba0848d-1e3d-4f01-9964-a4428adc4a26",
"name": "Step 7: Stylistic Devices",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
848
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze NARRATIVE STANCE.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY narrative stance - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the NARRATIVE STANCE in these samples.\\n\\nFocus on:\\n- First/second/third person preference\\n- Active vs passive voice ratio\\n- Storytelling patterns\\n- Point of view consistency\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "1109491e-5dd3-45d7-a697-08aa9a1a9591",
"name": "Step 8: Narrative Stance",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
1040
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze THEMES and VALUES.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY themes and values - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the THEMES and VALUES in these samples.\\n\\nFocus on:\\n- Recurring themes across samples\\n- Implied values and beliefs\\n- What they emphasize vs de-emphasize\\n- Core motivations\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "4820cc1a-fa82-431d-a71a-719f4d8228ab",
"name": "Step 9: Themes & Values",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
1232
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze EMOTIONAL EXPRESSION.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY emotional expression - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze the EMOTIONAL EXPRESSION in these samples.\\n\\nFocus on:\\n- Primary emotions conveyed\\n- Emotional range (narrow vs broad)\\n- Methods of emotional expression (word choice, punctuation, structure)\\n- Intensity level\\n- Variation by context\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "f982ca10-6b65-49aa-aed1-9c0d994bf931",
"name": "Step 10: Emotional Expression",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
1424
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze WRITER PERSONA.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY writer persona - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Based on all the writing samples, synthesize a WRITER PERSONA.\\n\\nFocus on:\\n- How would you describe this person in 2-3 sentences?\\n- What's their relationship to the audience?\\n- What role do they play (teacher, friend, expert, guide)?\\n- What makes them distinctive?\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "24c561a0-0d64-440e-86db-311ddd24ca9f",
"name": "Step 11: Writer Persona",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
1616
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze VOCABULARY LIST.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY vocabulary compilation - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Compile a comprehensive VOCABULARY LIST from these samples.\\n\\nCreate 5 categories:\\n1. Common Words (frequently used, define the style)\\n2. Signature Phrases (distinctive expressions used repeatedly)\\n3. Industry/Domain Terms (specialized vocabulary)\\n4. Transitional Phrases (how they connect ideas)\\n5. Emotional/Motivational Language (words that convey feeling or action)\\n\\nProvide word counts where possible.\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "85ed52ac-c79a-463e-a118-9745ee98e7aa",
"name": "Step 12: Vocabulary Compilation",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
1808
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze CONTEXTUAL VARIATIONS.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY contextual variations - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Analyze how the voice VARIES BY CONTEXT in these samples.\\n\\nIdentify:\\n- Formal vs casual adaptations\\n- Live vs prepared content differences\\n- What stays consistent across contexts\\n- What changes and when\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "e4676ec2-1ca9-461a-bf17-51db8117b8c5",
"name": "Step 13: Contextual Variations",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
2000
]
},
{
"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-haiku-4-5-20251001\",\n \"max_tokens\": 4000,\n \"temperature\": 0.2,\n \"system\": {{ JSON.stringify(\"You are Echo, analyzing \" + $('Merge Paths').first().json.voice_type + \" voice for \" + $('Merge Paths').first().json.student_name + ($('Merge Paths').first().json.company_name ? \" representing \" + $('Merge Paths').first().json.company_name : \"\") + \".\\n\\nYour ONLY task: Analyze DOS and DON'TS.\\n\\nContext:\\n\" + ($('Merge Paths').first().json.voice_type === \"personal\" ? \"- This is \" + $('Merge Paths').first().json.student_name + \"'s personal communication style\\n- Look for individual quirks, personality, authentic expression\" : ($('Merge Paths').first().json.voice_type === \"company\" ? \"- This is \" + $('Merge Paths').first().json.company_name + \"'s brand voice\\n- Look for consistency, brand values, professional tone\" : \"- This is \" + $('Merge Paths').first().json.student_name + \"'s voice when representing \" + $('Merge Paths').first().json.company_name + \"\\n- Personal patterns WITHIN company constraints\\n- Flag conflicts between personal and company style\")) + \"\\n\\nInstructions:\\n1. Read the writing samples\\n2. Analyze ONLY dos and don'ts - ignore other aspects\\n3. Provide specific observations with examples\\n4. Quantify where possible (counts, percentages, ratios)\\n5. Output structured JSON\") }},\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": {{ JSON.stringify(\"Based on all the writing samples, generate comprehensive DOS and DON'TS.\\n\\nRequirements:\\n- Minimum 5 of each\\n- Be specific and actionable\\n- Include justification for each\\n- Examples where helpful\\n\\nWriting samples:\\n\" + $('Merge Paths').first().json.writing_samples) }}\n }\n ]\n}",
"options": {}
},
"id": "5d1570f5-31e8-4527-9ff0-cd0ff2a17a07",
"name": "Step 14: Dos & Don'ts",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
464,
2192
]
},
{
"parameters": {
"jsCode": "// Echo Multi-Step: Merge All Analyses (v4 - Sequential Direct References)\n// Each step runs sequentially, so we can reference them directly by name\n\nconst MAX_TEXT_LENGTH = 50000;\nconst inputData = $('Merge Paths').first().json;\n\nconst stepNodes = [\n { key: 'sentence_structure', node: 'Step 1: Sentence Structure' },\n { key: 'vocabulary', node: 'Step 2: Vocabulary' },\n { key: 'tone_mood', node: 'Step 3: Tone & Mood' },\n { key: 'syntax_grammar', node: 'Step 4: Syntax & Grammar' },\n { key: 'semantic_patterns', node: 'Step 5: Semantic Patterns' },\n { key: 'pragmatic_elements', node: 'Step 6: Pragmatic Elements' },\n { key: 'stylistic_devices', node: 'Step 7: Stylistic Devices' },\n { key: 'narrative_stance', node: 'Step 8: Narrative Stance' },\n { key: 'themes_values', node: 'Step 9: Themes & Values' },\n { key: 'emotional_expression', node: 'Step 10: Emotional Expression' },\n { key: 'writer_persona', node: 'Step 11: Writer Persona' },\n { key: 'vocabulary_compilation', node: 'Step 12: Vocabulary Compilation' },\n { key: 'contextual_variations', node: 'Step 13: Contextual Variations' },\n { key: 'dos_donts', node: \"Step 14: Dos & Don'ts\" }\n];\n\nconst fullAnalysis = {\n voice_type: inputData.voice_type,\n subject: { name: inputData.student_name, company: inputData.company_name || null },\n skip_qc: inputData.skip_qc,\n timestamp: new Date().toISOString(),\n analyses: {},\n golden_threads: [],\n processing_stats: { steps_succeeded: 0, steps_failed: [], processing_time_ms: 0 }\n};\n\nconst startTime = Date.now();\nlet successCount = 0;\nconst failedSteps = [];\n\n// Process each step by direct node reference\nfor (const step of stepNodes) {\n try {\n const response = $(step.node).first().json;\n let stepData = null;\n\n // Parse Claude API response\n if (response.content?.[0]?.text) {\n const text = (response.content[0].text || '').substring(0, MAX_TEXT_LENGTH);\n const trimmed = text.trim();\n \n // Try JSON.parse first\n if (trimmed.startsWith('{') || trimmed.startsWith('[')) {\n try { stepData = JSON.parse(trimmed); } catch (e) { /* continue to regex */ }\n }\n \n // Try markdown code block extraction\n if (!stepData) {\n const jsonMatch = text.match(/```(?:json)?\\n?([\\s\\S]{1,48000}?)\\n?```/);\n if (jsonMatch?.[1]) {\n try { stepData = JSON.parse(jsonMatch[1]); }\n catch (e) { stepData = { raw_analysis: jsonMatch[1].substring(0, 10000) }; }\n } else {\n stepData = { raw_analysis: text.substring(0, 10000) };\n }\n }\n } else if (typeof response === 'object') {\n stepData = response;\n }\n\n fullAnalysis.analyses[step.key] = stepData || { error: 'Parse failed' };\n successCount++;\n } catch (error) {\n failedSteps.push({ step: step.key, node: step.node, error: error.message });\n fullAnalysis.analyses[step.key] = { error: error.message };\n }\n}\n\n// Return results with stats\nfullAnalysis.processing_stats = {\n steps_succeeded: successCount,\n steps_failed: failedSteps,\n partial_result: failedSteps.length > 0,\n processing_time_ms: Date.now() - startTime,\n total_steps: stepNodes.length\n};\n\nfullAnalysis.golden_threads = extractGoldenThreads(fullAnalysis);\n\nreturn [{ json: fullAnalysis }];\n\nfunction extractGoldenThreads(analysis) {\n const threads = [];\n try {\n const themes = analysis.analyses.themes_values?.analysis?.primary_themes ||\n analysis.analyses.themes_values?.primary_themes;\n if (themes && Array.isArray(themes)) {\n themes.slice(0, 3).forEach((t, i) => {\n threads.push({ priority: i+1, thread: typeof t === 'string' ? t : t.theme || t.name, source: 'themes_values' });\n });\n }\n if (threads.length < 3) {\n const persona = analysis.analyses.writer_persona?.distinctive_quality ||\n analysis.analyses.writer_persona?.analysis?.distinctive_quality;\n if (persona) {\n threads.push({ priority: threads.length+1, thread: persona, source: 'writer_persona' });\n }\n }\n } catch (e) { console.log('Golden threads extraction error:', e.message); }\n return threads;\n}"
},
"id": "730efbca-9d86-411c-bfee-e1526f57138c",
"name": "Merge Analyses",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
688,
848
]
},
{
"parameters": {
"jsCode": "// Create Student-Friendly Output\n// Formats the brand voice output for easy student consumption\n\nconst input = $input.first().json;\n\n// Generate timestamp for files\nconst timestamp = new Date().toISOString().split('T')[0];\n// Handle subject being either string or object with .name property\nconst subjectName = (typeof input.subject === 'object' ? input.subject?.name : input.subject) || input.student_name || input.person_name || 'Unknown';\n\n// Create XML snippet file content\nconst xmlSnippet = input.brand_voice_xml || 'No XML generated';\n\n// Create Quick Reference markdown\nconst quickReference = `# ${subjectName} - Brand Voice Quick Reference\n\n## Golden Threads\nThese are the core themes that should permeate all your communications:\n\n${input.analysis_summary?.golden_threads?.map((t, i) => `${i + 1}. **${t.thread}** - ${t.evidence}`).join('\\n') || '- Golden threads will be extracted from full analysis'}\n\n## Do's\n- Use your signature phrases and expressions\n- Maintain your natural tone and energy\n- Let your personality shine through\n\n## Don'ts \n- Don't over-formalize your language\n- Don't lose your authentic voice\n- Don't ignore your natural communication style\n\n## Usage Instructions\n\n### For AI Assistants (Sugar/YGM)\n1. Copy the XML snippet below\n2. Paste into your agent's system prompt\n3. Place under \\`\\` section\n\n### For RAG Enhancement\n1. Save the Full Analysis as a .md file\n2. Upload to Gemini File Store\n3. Reference in your agent's knowledge base\n\n---\nGenerated: ${timestamp}\nVoice Type: ${input.voice_type}\n`;\n\n// Format all 14 analysis dimensions into markdown sections\nconst analysesSection = Object.entries($('Merge Analyses').first().json.analyses || {}).map(([key, data]) => {\n const title = key.split('_').map(w => w.charAt(0).toUpperCase() + w.slice(1)).join(' ');\n const content = typeof data === 'string' ? data : (data.raw_analysis || data.analysis || JSON.stringify(data, null, 2));\n return `### ${title}\\n\\n${content}`;\n}).join('\\n\\n---\\n\\n');\n\n// Create Full Analysis markdown with ALL 14 dimensions\nconst fullAnalysis = `# ${subjectName} - Complete Brand Voice Analysis\n\n## Overview\n- **Voice Type**: ${input.voice_type}\n- **Subject**: ${subjectName}\n- **Company**: ${input.company || 'N/A'}\n- **Generated**: ${timestamp}\n- **QC Result**: ${input.qc_result || 'SKIPPED'}\n\n## Brand Voice XML Snippet\n\\`\\`\\`xml\n${xmlSnippet}\n\\`\\`\\`\n\n## Detailed Analyses (14 Dimensions)\n\n${analysesSection}\n\n## Analysis Summary\nThis profile was generated from ${Object.keys($('Merge Analyses').first().json.analyses || {}).length} analysis dimensions totaling ${input.xml_word_count || 0} words.\n\n## Next Steps\n\n1. **Integrate with AI Assistant**\n - Copy the XML snippet above\n - Paste into your Sugar/YGM agent system prompt\n - Test with a sample email or social post\n\n2. **Enable RAG Enhancement**\n - Save this full analysis as \\`${subjectName.toLowerCase().replace(/\\s+/g, '-')}-brand-voice.md\\`\n - Upload to Gemini File Store via the Librarian Tool\n - Your agent will now reference your voice profile for context\n\n3. **Validate the Voice**\n - Ask your agent to write a sample piece\n - Compare against your actual writing\n - Refine if needed by adding more writing samples to Echo\n\n---\n*Generated by Echo Brand Voice Analysis*\n`;\n\n// Return enhanced output with student-friendly structure\nreturn [{\n json: {\n // Original output fields\n ...input,\n \n // Student-friendly additions\n student_output: {\n status: 'SUCCESS',\n message: `Your brand voice profile for ${subjectName} is ready!`,\n \n // Ready-to-use files\n files: {\n xml_snippet: {\n filename: `${subjectName.toLowerCase().replace(/\\s+/g, '-')}-brand-voice.xml`,\n content: xmlSnippet,\n instructions: 'Copy this XML and paste into your AI agent system prompt under '\n },\n quick_reference: {\n filename: `${subjectName.toLowerCase().replace(/\\s+/g, '-')}-quick-reference.md`,\n content: quickReference,\n instructions: 'Keep this handy when writing prompts or reviewing AI output'\n },\n full_analysis: {\n filename: `${subjectName.toLowerCase().replace(/\\s+/g, '-')}-full-analysis.md`,\n content: fullAnalysis,\n instructions: 'Upload to Gemini File Store for RAG-enhanced responses'\n }\n },\n \n // Quick access to key outputs\n brand_voice_xml: xmlSnippet,\n \n // Clear next steps\n next_steps: [\n {\n step: 1,\n action: 'Copy brand_voice_xml into your AI assistant system prompt',\n detail: 'Place under section in Sugar or YGM'\n },\n {\n step: 2,\n action: 'Upload full_analysis.md to Gemini File Store',\n detail: 'Use Librarian Tool workflow to add to your knowledge base'\n },\n {\n step: 3,\n action: 'Test your voice by asking the agent to write a sample email',\n detail: 'Compare output against your actual writing style'\n }\n ]\n }\n }\n}];"
},
"id": "student-output-node",
"name": "Create Student Output",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2704,
848
]
},
{
"parameters": {
"inputSource": "passthrough"
},
"id": "execute-workflow-trigger",
"name": "Called by Trigger Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.1,
"position": [
-1328,
800
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "voice-type",
"name": "Voice Type",
"value": "={{ $json.voice_type || 'personal' }}",
"type": "string"
},
{
"id": "person-name",
"name": "Person Name",
"value": "={{ $json.person_name || '' }}",
"type": "string"
},
{
"id": "company-name",
"name": "Company Name",
"value": "={{ $json.company_name || '' }}",
"type": "string"
},
{
"id": "writing-samples",
"name": "Writing Samples",
"value": "={{ $json.writing_samples || '' }}",
"type": "string"
},
{
"id": "company-materials",
"name": "Company Materials",
"value": "={{ $json.company_materials || '' }}",
"type": "string"
},
{
"id": "skip-qc",
"name": "Skip QC Validation",
"value": "={{ $json.skip_qc ? 'Yes (Save ~$0.03)' : 'No (Recommended)' }}",
"type": "string"
},
{
"id": "student-email",
"name": "student_email",
"value": "={{ $json.student_email || 'your-email@example.com' }}",
"type": "string"
}
]
},
"options": {}
},
"id": "normalize-external-input",
"name": "Normalize External Input",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-1104,
800
]
},
{
"parameters": {
"jsCode": "// Create file data for email attachments\nconst input = $input.first().json;\nconst studentOutput = input.student_output || {};\nconst files = studentOutput.files || {};\n\n// Get the brand voice XML\nconst xmlContent = files.xml_snippet?.content || input.brand_voice_xml || 'No content';\nconst fullAnalysis = files.full_analysis?.content || '# Brand Voice Analysis\\n\\nNo analysis available.';\n\n// Get subject name for file naming - handle subject being object or string\nconst subjectName = (typeof input.subject === 'object' ? input.subject?.name : input.subject) || input.student_name || input.person_name || 'brand';\nconst safeSubjectName = subjectName.toLowerCase().replace(/[^a-z0-9]+/g, '-');\n\n// Get student email from workflow context\nconst studentEmail = $('Normalize External Input').first()?.json?.student_email || \n $('Manual Trigger').first()?.json?.email || \n 'your-email@example.com';\n\nreturn [\n {\n json: {\n fileName: `${safeSubjectName}-brand-voice.xml`,\n fileContent: xmlContent,\n mimeType: 'application/xml',\n student_email: studentEmail,\n subject_name: subjectName\n }\n },\n {\n json: {\n fileName: `${safeSubjectName}-full-analysis.md`,\n fileContent: fullAnalysis,\n mimeType: 'text/markdown',\n student_email: studentEmail,\n subject_name: subjectName\n }\n }\n];"
},
"id": "create-files",
"name": "Create Files for Email",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2928,
848
]
},
{
"parameters": {
"mode": "jsonToBinary",
"convertAllData": false,
"sourceKey": "fileContent",
"destinationKey": "data",
"options": {
"encoding": "utf8",
"fileName": "={{ $json.fileName }}",
"mimeType": "={{ $json.mimeType }}"
}
},
"id": "convert-to-binary",
"name": "Convert to Binary",
"type": "n8n-nodes-base.moveBinaryData",
"typeVersion": 1.1,
"position": [
3152,
848
]
},
{
"parameters": {
"resource": "message",
"operation": "send",
"sendTo": "={{ $json.student_email || 'your-email@example.com' }}",
"subject": "Your Brand Voice Analysis is Ready!",
"emailType": "text",
"message": "Hi there!\n\nYour brand voice analysis is complete. You'll find two files attached:\n\n1. brand-voice.xml - Paste this into your AI agent's system prompt under \n2. full-analysis.md - Upload this to your knowledge base for reference\n\nNext steps:\n1. Open your AI agent configuration\n2. Find the section in your system prompt\n3. Paste the XML content there\n4. Save and test!\n\nQuestions? Reply to this email or ask in the Friday session.\n\n- Tyler & Sara\nAI Build Lab",
"options": {
"attachmentsUi": {
"attachmentsBinary": [
{
"property": "attachment_0"
},
{
"property": "attachment_1"
}
]
}
}
},
"id": "send-email",
"name": "Send Results Email",
"type": "n8n-nodes-base.gmail",
"typeVersion": 2.1,
"position": [
3600,
848
],
"credentials": {
"gmailOAuth2": {
"name": ""
}
},
"notes": "IMPORTANT: Configure your Gmail OAuth2 credentials here after importing"
},
{
"id": "prepare-attachments",
"name": "Prepare Attachments",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3376,
848
],
"parameters": {
"jsCode": "// Prepare Attachments for Gmail\n// Collects binary data from all items into a single item with multiple binary properties\n\nconst items = $input.all();\n\nif (items.length === 0) {\n throw new Error('No items to process');\n}\n\n// Get email info from first item\nconst firstItem = items[0].json;\nconst studentEmail = firstItem.student_email || 'your-email@example.com';\nconst subjectName = firstItem.subject_name || 'Unknown';\n\n// Build output item with all binary attachments\nconst outputItem = {\n json: {\n student_email: studentEmail,\n subject_name: subjectName,\n attachment_count: items.length\n },\n binary: {}\n};\n\n// Copy binary data from each item, naming them attachment_0, attachment_1, etc.\nitems.forEach((item, index) => {\n if (item.binary && item.binary.data) {\n outputItem.binary[`attachment_${index}`] = item.binary.data;\n }\n});\n\nreturn [outputItem];"
}
}
],
"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": "Step 1: Sentence Structure",
"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
}
]
]
},
"Merge Analyses": {
"main": [
[
{
"node": "Phase 3: XML Generation",
"type": "main",
"index": 0
}
]
]
},
"Format Output": {
"main": [
[
{
"node": "Create Student Output",
"type": "main",
"index": 0
}
]
]
},
"Called by Trigger Workflow": {
"main": [
[
{
"node": "Normalize External Input",
"type": "main",
"index": 0
}
]
]
},
"Normalize External Input": {
"main": [
[
{
"node": "Configuration",
"type": "main",
"index": 0
}
]
]
},
"Create Student Output": {
"main": [
[
{
"node": "Create Files for Email",
"type": "main",
"index": 0
}
]
]
},
"Create Files for Email": {
"main": [
[
{
"node": "Convert to Binary",
"type": "main",
"index": 0
}
]
]
},
"Step 1: Sentence Structure": {
"main": [
[
{
"node": "Step 2: Vocabulary",
"type": "main",
"index": 0
}
]
]
},
"Step 2: Vocabulary": {
"main": [
[
{
"node": "Step 3: Tone & Mood",
"type": "main",
"index": 0
}
]
]
},
"Step 3: Tone & Mood": {
"main": [
[
{
"node": "Step 4: Syntax & Grammar",
"type": "main",
"index": 0
}
]
]
},
"Step 4: Syntax & Grammar": {
"main": [
[
{
"node": "Step 5: Semantic Patterns",
"type": "main",
"index": 0
}
]
]
},
"Step 5: Semantic Patterns": {
"main": [
[
{
"node": "Step 6: Pragmatic Elements",
"type": "main",
"index": 0
}
]
]
},
"Step 6: Pragmatic Elements": {
"main": [
[
{
"node": "Step 7: Stylistic Devices",
"type": "main",
"index": 0
}
]
]
},
"Step 7: Stylistic Devices": {
"main": [
[
{
"node": "Step 8: Narrative Stance",
"type": "main",
"index": 0
}
]
]
},
"Step 8: Narrative Stance": {
"main": [
[
{
"node": "Step 9: Themes & Values",
"type": "main",
"index": 0
}
]
]
},
"Step 9: Themes & Values": {
"main": [
[
{
"node": "Step 10: Emotional Expression",
"type": "main",
"index": 0
}
]
]
},
"Step 10: Emotional Expression": {
"main": [
[
{
"node": "Step 11: Writer Persona",
"type": "main",
"index": 0
}
]
]
},
"Step 11: Writer Persona": {
"main": [
[
{
"node": "Step 12: Vocabulary Compilation",
"type": "main",
"index": 0
}
]
]
},
"Step 12: Vocabulary Compilation": {
"main": [
[
{
"node": "Step 13: Contextual Variations",
"type": "main",
"index": 0
}
]
]
},
"Step 13: Contextual Variations": {
"main": [
[
{
"node": "Step 14: Dos & Don'ts",
"type": "main",
"index": 0
}
]
]
},
"Step 14: Dos & Don'ts": {
"main": [
[
{
"node": "Merge Analyses",
"type": "main",
"index": 0
}
]
]
},
"Convert to Binary": {
"main": [
[
{
"node": "Prepare Attachments",
"type": "main",
"index": 0
}
]
]
},
"Prepare Attachments": {
"main": [
[
{
"node": "Send Results Email",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}