{ "edges": [ { "to": "9052bfa2-29f5-48df-8ac9-906f1c690a8f", "from": "53c0287a-7a4c-47b7-ab61-fc1bd730e63e", "toPort": "0", "fromPort": "0" }, { "to": "db7e5b9a-b719-489a-9cfc-353ceaae0cc4", "from": "4840d67f-103e-4201-bd6f-0fa2095231b2", "toPort": "0", "fromPort": "0" }, { "to": "5ebe586e-34e7-43f6-a59f-15841ca0cfae", "from": "db7e5b9a-b719-489a-9cfc-353ceaae0cc4", "toPort": "0", "fromPort": "0" }, { "to": "5ebe586e-34e7-43f6-a59f-15841ca0cfae", "from": "db7e5b9a-b719-489a-9cfc-353ceaae0cc4", "toPort": "0", "fromPort": "1" }, { "to": "14e9581a-b5c8-4363-8bef-0c091f24ade7", "from": "db7e5b9a-b719-489a-9cfc-353ceaae0cc4", "toPort": "0", "fromPort": "2" }, { "to": "e7869d3a-8b6c-42be-a82d-3fd43348dd30", "from": "5ebe586e-34e7-43f6-a59f-15841ca0cfae", "toPort": "0", "fromPort": "0" }, { "to": "595869a8-9b62-486b-9b73-81bc18c4284d", "from": "e7869d3a-8b6c-42be-a82d-3fd43348dd30", "toPort": "0", "fromPort": "0" }, { "to": "b9821a94-d11f-4463-bd24-61a2216fb3d0", "from": "595869a8-9b62-486b-9b73-81bc18c4284d", "toPort": "0", "fromPort": "0" }, { "to": "53c0287a-7a4c-47b7-ab61-fc1bd730e63e", "from": "b9821a94-d11f-4463-bd24-61a2216fb3d0", "toPort": "0", "fromPort": "0" }, { "to": "5ebe586e-34e7-43f6-a59f-15841ca0cfae", "from": "14e9581a-b5c8-4363-8bef-0c091f24ade7", "toPort": "0", "fromPort": "0" } ], "nodes": [ { "id": "5ebe586e-34e7-43f6-a59f-15841ca0cfae", "name": "HTTP Request", "type": "http", "params": { "url": "={{ $json.URL }}", "options": { "allowUnauthorizedCerts": true } }, "position": [ 192, -112 ] }, { "id": "e7869d3a-8b6c-42be-a82d-3fd43348dd30", "name": "Extract Vault A", "type": "llm", "params": { "modelId": { "__rl": true, "mode": "list", "value": "models/gemini-3-flash-preview", "cachedResultName": "models/gemini-3-flash-preview" }, "options": {}, "messages": { "values": [ { "role": "model", "content": "**System Instruction:** You are the Litopy Extraction Engine. Your goal is to analyze the provided raw text from a brand's website and extract a rigid \"Identity Definition\" into JSON format. Do not describe the tone; quantify it.\n\n**Task:**\n1. **Lexicon Mining:** Identify words used frequently that are *not* standard English stop-words. Identify \"Corporate Speak\" that is notably absent (these become Forbidden Words).\n2. **Syntax Calculus:** Calculate the average words per sentence. Does the text use fragments? (e.g., \"Fast. Secure. Done.\") If yes, mark `complexity_score` low.\n3. **Stance Detection:** Determine if the brand speaks *at* the user (Mentor) or *with* the user (Peer). Look for \"We believe\" statements vs. \"You should\" statements.\n \n \n **Output:** strictly valid JSON matching the `vault_a_style_matrix` schema.\n\"vault_a_style_matrix\": {\n \"lexicon_constraints\": {\n \"power_words\": [\n \"List of 5-10 high-frequency words unique to the brand (e.g., 'Bespoke', 'Ecosystem')\"\n ],\n \"forbidden_words\": [\n \"List of banned generic terms (e.g., 'Synergy', 'Delve', 'Game-changer')\"\n ],\n \"preferred_synonyms\": {\n \"client\": \"partner\",\n \"cost\": \"investment\",\n \"buy\": \"acquire\"\n }\n },\n \"syntax_signature\": {\n \"average_sentence_length\": \"Integer (e.g., 12)\",\n \"complexity_score\": \"Float 0.0-1.0 (0=Hemingway, 1=Academic)\",\n \"active_voice_ratio\": \"Float 0.0-1.0 (Target >0.8)\",\n \"paragraph_structure\": \"String (e.g., 'One-sentence hooks only', '3-line blocks')\"\n },\n \"stance_parameters\": {\n \"relationship_model\": \"String (Options: 'Peer', 'Mentor', 'Challenger', 'Servant')\",\n \"risk_appetite\": \"String (Options: 'Conservative', 'Aggressive', 'Contrarian')\",\n \"emotional_temperature\": \"Float 0.0-1.0 (0=Clinical, 1=Hyper-Emotive)\"\n },\n \"formatting_rules\": {\n \"emoji_usage\": \"String (e.g., 'None', 'Bullets only', 'Gen-Z style')\",\n \"header_style\": \"String (e.g., 'Title Case', 'All Caps', 'Lowercase')\",\n \"cta_structure\": \"String (e.g., 'Soft ask', 'Hard URL', 'Question')\"\n }\n }\n\n**Output Validation:** Check the output that it is valid JSON with a single object (no array on top level). Only return valid JSON using the data structure provided (no array on top level - just a single object). Ensure the JSON output is valid using the data structure provided!\n" }, { "content": "=**Input Text:**\n\n {{ $json.data }}" } ] }, "provider": "google", "simplify": false, "jsonOutput": true, "builtInTools": {} }, "position": [ 496, -112 ] }, { "id": "53c0287a-7a4c-47b7-ab61-fc1bd730e63e", "name": "HTML", "type": "passthrough", "params": { "html": "\n\n\n \n \n\n\n\n

\n \n\n

\n \n

Lexicon Constraints

Power Words

\n {{ $json.parsed.vault_a_style_matrix.lexicon_constraints.power_words.map(w => `${w}`).join('') }}\n

Forbidden Words

\n {{ $json.parsed.vault_a_style_matrix.lexicon_constraints.forbidden_words.map(w => `${w}`).join('') }}\n

\n\n

Preferred Synonyms

\n \n \n \n {{ Object.entries($json.parsed.vault_a_style_matrix.lexicon_constraints.preferred_synonyms).map(([key, val]) => ``).join('') }}\n \n

Replace	Use Instead
${key}	${val}

\n\n

Syntax Signature

\n Avg Sentence Length\n {{ $json.parsed.vault_a_style_matrix.syntax_signature.average_sentence_length }} words\n

\n \n

Active Voice Ratio ({{ $json.parsed.vault_a_style_matrix.syntax_signature.active_voice_ratio * 100 }}%)

\n\n

\n Structure:
\n {{ $json.parsed.vault_a_style_matrix.syntax_signature.paragraph_structure }}\n

\n\n

Stance & Tone

\n Relationship Model\n {{ $json.parsed.vault_a_style_matrix.stance_parameters.relationship_model }}\n

\n Risk Appetite\n {{ $json.parsed.vault_a_style_matrix.stance_parameters.risk_appetite }}\n

Emotional Temp ({{ $json.parsed.vault_a_style_matrix.stance_parameters.emotional_temperature }})

\n\n

Formatting Rules

\n Emoji Usage\n

{{ $json.parsed.vault_a_style_matrix.formatting_rules.emoji_usage }}

\n Header Style\n

{{ $json.parsed.vault_a_style_matrix.formatting_rules.header_style }}

\n CTA Structure\n

{{ $json.parsed.vault_a_style_matrix.formatting_rules.cta_structure }}

\n\n

\n\n\n", "mode": "noOp" }, "position": [ 1344, -112 ] }, { "id": "595869a8-9b62-486b-9b73-81bc18c4284d", "name": "Extract AI Response", "type": "set", "params": { "options": { "dotNotation": false }, "assignments": { "assignments": [ { "id": "815badc3-d2ba-438a-bfe8-666e290b177b", "name": "raw", "type": "string", "value": "={{ $json.candidates[0].content.parts[0].text }}" }, { "id": "50561d91-dd5d-4b54-a019-22f261a7945d", "name": "parsed", "type": "object", "value": "={{ $json.candidates[0].content.parts[0].text }}" } ] } }, "position": [ 944, -112 ] }, { "id": "14e9581a-b5c8-4363-8bef-0c091f24ade7", "name": "Add Missing Protocol", "type": "set", "params": { "mode": "raw", "options": {}, "jsonOutput": "={\n \"URL\": \"https://{{ $json.URL }}\",\n \"submittedAt\": \"{{ $json.submittedAt }}\",\n \"formMode\": \"{{ $json.formMode }}\"\n}\n" }, "position": [ -64, 32 ] }, { "id": "db7e5b9a-b719-489a-9cfc-353ceaae0cc4", "name": "Check URL", "type": "switch", "params": { "rules": { "values": [ { "outputKey": "http", "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "d25a45bb-8822-4815-a726-fb969e658a8c", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $json.URL }}", "rightValue": "http://" } ] }, "renameOutput": true }, { "outputKey": "https", "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "ec311e16-a45c-49f8-92b9-5aa0cd68d411", "operator": { "type": "string", "operation": "startsWith" }, "leftValue": "={{ $json.URL }}", "rightValue": "https://" } ] }, "renameOutput": true }, { "outputKey": "No protocol", "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "8952e304-dae5-4203-a8e9-4e1a5fd879f5", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "", "rightValue": "" } ] }, "renameOutput": true } ] }, "options": {} }, "position": [ -272, -128 ] }, { "id": "4840d67f-103e-4201-bd6f-0fa2095231b2", "name": "URL Form", "type": "trigger", "params": { "kind": "n8n-nodes-base.formTrigger", "options": { "appendAttribution": false }, "formTitle": "Get Brand Identity", "formFields": { "values": [ { "fieldLabel": "URL" } ] }, "formDescription": "Enter the URL for the main web site to extract the Brand Identity." }, "position": [ -496, -112 ] }, { "id": "9052bfa2-29f5-48df-8ac9-906f1c690a8f", "name": "Form", "type": "trigger", "params": { "kind": "n8n-nodes-base.form", "operation": "completion", "respondWith": "showText", "responseText": "={{ $json.html }}" }, "position": [ 1552, -112 ] }, { "id": "b9821a94-d11f-4463-bd24-61a2216fb3d0", "name": "Extract Nested Data", "type": "set", "params": { "options": {}, "assignments": { "assignments": [ { "id": "6ece9336-8816-468b-9a87-60a458d88ad5", "name": "parsed.vault_a_style_matrix.lexicon_constraints.power_words", "type": "array", "value": "={{ $json.parsed.vault_a_style_matrix.lexicon_constraints.power_words }}" }, { "id": "4825c479-d411-4eef-886b-383519ab990e", "name": "parsed.vault_a_style_matrix.lexicon_constraints.forbidden_words", "type": "array", "value": "={{ $json.parsed.vault_a_style_matrix.lexicon_constraints.forbidden_words }}" }, { "id": "3b48d4b4-6ef3-4ad3-8347-086f4209d139", "name": "parsed.vault_a_style_matrix.lexicon_constraints.preferred_synonyms", "type": "object", "value": "={{ $json.parsed.vault_a_style_matrix.lexicon_constraints.preferred_synonyms }}" }, { "id": "4648a1cc-8bc2-4561-acb4-65df8ce84057", "name": "parsed.vault_a_style_matrix.syntax_signature", "type": "object", "value": "={{ $json.parsed.vault_a_style_matrix.syntax_signature }}" }, { "id": "b5540b4e-ad8c-4848-8909-0b252594d0d7", "name": "parsed.vault_a_style_matrix.stance_parameters", "type": "object", "value": "={{ $json.parsed.vault_a_style_matrix.stance_parameters }}" }, { "id": "19596518-d981-404f-8cc8-16dc15a51c21", "name": "parsed.vault_a_style_matrix.formatting_rules", "type": "object", "value": "={{ $json.parsed.vault_a_style_matrix.formatting_rules }}" } ] } }, "position": [ 1152, -112 ] } ] }

Brand Identity Style Matrix

Lexicon Constraints

Syntax Signature

Stance & Tone

Formatting Rules

Extract brand identity markers from web pages using Google Gemini