{ "id": "zbpHuVvtlRSOE27NGyyGs", "name": "Verify AI draft answers with Pearl Hybrid Intelligence and Open AI", "tags": [], "nodes": [ { "id": "05107af8-a4e3-4aa0-a1e9-f0ce0ae57148", "name": "Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -544, 48 ], "parameters": { "width": 528, "height": 540, "content": "# Verify AI answers with Pearl Hybrid Intelligence and Open AI\n\n## How it works\n1. A user asks a question.\n2. If anything is missing, the assistant asks one focused follow-up question.\n3. Once ready, the assistant drafts an answer with OpenAI.\n4. The draft is reviewed by a licensed Pearl expert.\n5. The user receives the verified answer with expert attribution.\n\n## Setup steps\n1. Add your OpenAI credential in n8n.\n2. Add your Pearl MCP Server API key (request a demo key at: https://www.pearl.com/enterprise/contact-get-started).\n3. Activate the workflow and call the webhook with your conversation messages.\n4. Adjust the intake + drafting prompts in **Prepare Input** to match your domain and tone." }, "typeVersion": 1 }, { "id": "f37c8600-de53-40e3-8a2d-0a2d58158860", "name": "Pearl Verify Webhook", "type": "n8n-nodes-base.webhook", "position": [ 160, 368 ], "parameters": { "path": "pearl-verify", "options": {}, "httpMethod": "POST", "responseMode": "responseNode" }, "typeVersion": 2.1 }, { "id": "18b2c188-327d-4823-972f-7f0d7f38cf8e", "name": "Prepare Input", "type": "n8n-nodes-base.code", "position": [ 384, 368 ], "parameters": { "jsCode": "/**\n * n8n Code node (JavaScript)\n * Purpose:\n * - Accept webhook body containing an OpenAI Chat Completions-style `messages` array:\n * [{ role: \"user\"|\"assistant\"|\"system\", content: \"...\" }, ...]\n * - Construct two message arrays:\n * 1) messagesClarify: system prompt + messages (forces output: END or 1 clarifying question)\n * 2) messagesDraft: system prompt + messages (produces draft answer)\n */\n\nfunction assertValidMessages(messages) {\n if (!Array.isArray(messages)) {\n throw new Error('Request body must include a \"messages\" array.');\n }\n\n for (let i = 0; i < messages.length; i++) {\n const m = messages[i];\n if (typeof m !== \"object\" || m === null) {\n throw new Error(`messages[${i}] must be an object.`);\n }\n if (typeof m.role !== \"string\" || !m.role.trim()) {\n throw new Error(`messages[${i}].role must be a non-empty string.`);\n }\n if (typeof m.content !== \"string\" || !m.content.trim()) {\n throw new Error(`messages[${i}].content must be a non-empty string.`);\n }\n }\n}\n\nfunction getLastUserMessage(messages) {\n for (let i = messages.length - 1; i >= 0; i--) {\n if (messages[i].role === \"user\") return messages[i].content;\n }\n return \"\";\n}\n\n// n8n webhook payload can appear as items[0].json.body (Webhook node) or items[0].json (some setups)\nconst input = $input.first() ?? {};\nconst body = input.json.body ?? input;\n\n// Read request fields\nconst messages = body.messages;\nconst openaiModel = body.model || \"gpt-4o-mini\";\n\n// Validate\nassertValidMessages(messages);\n\n// Optional: strip any accidental leading/trailing whitespace\nconst normalizedMessages = messages.map((m) => ({\n role: m.role.trim(),\n content: m.content.trim(),\n}));\n\nconst userQuestion = getLastUserMessage(normalizedMessages);\n\n// System prompt: Clarification gate (must output END or a single question)\nconst clarificationSystem = {\n role: \"system\",\n content: [\n \"You are an intake assistant for complex legal and health questions.\",\n \"\",\n \"Your job is NOT to answer yet. First decide if you need more context.\",\n \"\",\n \"Rules:\",\n \"1) If you need more information to answer safely/accurately, respond with ONLY the single best clarifying question.\",\n \" - No preamble, no bullet points, no multiple questions.\",\n \"2) If you do NOT need any clarification, respond with EXACTLY this single token: END\",\n \"\",\n \"Output must be plain text only.\"\n ].join(\"\\n\"),\n};\n\n// System prompt: Draft answer generation (used only when clarification returns END)\nconst draftSystem = {\n role: \"system\",\n content: [\n \"You are a helpful assistant.\",\n \"\",\n \"Provide a draft answer to the user's question using the full conversation context.\",\n \"\",\n \"IMPORTANT SAFETY/QUALITY REQUIREMENTS (health/legal):\",\n \"- Provide general informational guidance only; do NOT claim to be a professional.\",\n \"- Encourage consulting a licensed professional for decisions.\",\n \"- If health: if there are urgent or dangerous symptoms, advise urgent care/emergency services.\",\n \"- If legal: mention jurisdiction matters and advise consulting a qualified attorney.\",\n \"\",\n \"Structure:\",\n \"1) Short summary\",\n \"2) Key considerations (bullets)\",\n \"3) Next steps\"\n ].join(\"\\n\"),\n};\n\n// Build the two request message arrays\nconst messagesClarify = [clarificationSystem, ...normalizedMessages];\nconst messagesDraft = [draftSystem, ...normalizedMessages];\n\n// Return a single item with fields used by downstream OpenAI HTTP Request nodes\nreturn [\n {\n json: {\n openaiModel,\n messages: normalizedMessages,\n userQuestion,\n messagesClarify,\n messagesDraft,\n },\n },\n];\n" }, "typeVersion": 2 }, { "id": "bd546b30-10b0-4b16-91c0-0eae052510b9", "name": "OpenAI - Clarify", "type": "n8n-nodes-base.httpRequest", "position": [ 608, 368 ], "parameters": { "url": "https://api.openai.com/v1/chat/completions", "method": "POST", "options": {}, "jsonBody": "={{ {\n \"model\": $json.openaiModel,\n \"messages\": $json.messagesClarify,\n \"temperature\": 0\n} }}", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "openAiApi" }, "typeVersion": 4.3 }, { "id": "2ee71615-4cb2-44b9-8930-872ec49adb37", "name": "IF - Needs clarification?", "type": "n8n-nodes-base.if", "position": [ 832, 368 ], "parameters": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "155eb509-212b-44fb-8240-e6cb2c13c348", "operator": { "type": "string", "operation": "notEquals" }, "leftValue": "={{ $json.choices[0].message.content.trim() }}", "rightValue": "END" } ] } }, "typeVersion": 2.3 }, { "id": "ef4c9f2e-6194-4994-8893-8a50d649a328", "name": "Respond: Clarification Question", "type": "n8n-nodes-base.respondToWebhook", "position": [ 1056, 272 ], "parameters": { "options": {}, "respondWith": "json", "responseBody": "={{ {\n status: 'needs_clarification',\n clarificationQuestion: $json.choices[0].message.content.trim()\n} }}" }, "typeVersion": 1.5 }, { "id": "0e62e22c-5af6-47c4-816b-147172e3f99d", "name": "Open AI - Draft Answer", "type": "n8n-nodes-base.httpRequest", "position": [ 992, 624 ], "parameters": { "url": "https://api.openai.com/v1/chat/completions", "method": "POST", "options": {}, "jsonBody": "={{ {\n \"model\": $node['Prepare Input'].json.openaiModel,\n \"messages\": $node['Prepare Input'].json.messagesDraft,\n \"temperature\": 0.2\n} }}", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "openAiApi" }, "typeVersion": 4.3 }, { "id": "50264f0c-d972-48ac-9661-3ddd01a958ca", "name": "MCP Client", "type": "@n8n/n8n-nodes-langchain.mcpClient", "position": [ 1216, 624 ], "parameters": { "tool": { "__rl": true, "mode": "list", "value": "verifyAnswer", "cachedResultName": "verifyAnswer" }, "options": {}, "inputMode": "json", "jsonInput": "={{ {\n \"answer\": $json.choices[0].message.content.trim(),\n \"chatHistory\": $('Prepare Input').item.json.messages\n} }}", "endpointUrl": "https://mcp.pearl.com/mcp", "authentication": "headerAuth" }, "typeVersion": 1 }, { "id": "c5e89c86-8dbd-49ee-83ba-47b7c8f7454d", "name": "Respond: Verified Answer by Pearl Expert", "type": "n8n-nodes-base.respondToWebhook", "position": [ 1408, 624 ], "parameters": { "options": {}, "respondWith": "json", "responseBody": "={{ { \n status: 'verified', \n answer: $json.content[0].text.answer, \n verifiedBy: [\n $json.content?.[0]?.text?.expert?.name,\n $json.content?.[0]?.text?.expert?.expertise\n].filter(Boolean).join(', ')\n} }}" }, "typeVersion": 1.5 }, { "id": "76ac001e-e195-41af-89e8-8ead030182be", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 96, 256 ], "parameters": { "color": 7, "width": 432, "height": 272, "content": "## 1) Intake & prompt setup\nReceives the user conversation and prepares prompts for intake + drafting.\n" }, "typeVersion": 1 }, { "id": "6e1aa795-0ac0-466c-904a-fa5272aa8db2", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 544, 256 ], "parameters": { "color": 7, "width": 704, "height": 272, "content": "## 2) Intake (clarification)\nAsks one follow-up question if more information is needed.\n" }, "typeVersion": 1 }, { "id": "2fb6d5ed-147a-4c96-8753-0c7f483aef4b", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 896, 544 ], "parameters": { "color": 7, "width": 704, "height": 240, "content": "## 3) Draft + expert verification\nDrafts an answer, then sends it to Pearl for professional verification.\n" }, "typeVersion": 1 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "3e782757-99b5-4cee-bd04-9eaaddad1869", "connections": { "MCP Client": { "main": [ [ { "node": "Respond: Verified Answer by Pearl Expert", "type": "main", "index": 0 } ] ] }, "Prepare Input": { "main": [ [ { "node": "OpenAI - Clarify", "type": "main", "index": 0 } ] ] }, "OpenAI - Clarify": { "main": [ [ { "node": "IF - Needs clarification?", "type": "main", "index": 0 } ] ] }, "Pearl Verify Webhook": { "main": [ [ { "node": "Prepare Input", "type": "main", "index": 0 } ] ] }, "Open AI - Draft Answer": { "main": [ [ { "node": "MCP Client", "type": "main", "index": 0 } ] ] }, "IF - Needs clarification?": { "main": [ [ { "node": "Respond: Clarification Question", "type": "main", "index": 0 } ], [ { "node": "Open AI - Draft Answer", "type": "main", "index": 0 } ] ] } } }