{ "name": "AI Agent - Lead Capture & Booking", "nodes": [ { "parameters": { "public": true, "initialMessages": "Hi there! \ud83d\udc4b\nMy name is Nation your AI automation assistant. How can I assist you today?", "options": {} }, "type": "@n8n/n8n-nodes-langchain.chatTrigger", "typeVersion": 1.4, "position": [ -256, -80 ], "id": "c4a9dfa9-56fb-432b-903c-a07628981f4c", "name": "When chat message received" }, { "parameters": { "options": { "systemMessage": "=You are the AI assistant for Insight Analytics, an AI and automation consultancy based in Lusaka, Zambia, serving Zambian SMEs.\n\nYour role:\n- Greet visitors warmly and find out what business problem they're trying to solve (e.g. manual processes, slow customer response, disorganized records, repetitive admin work).\n- Briefly explain how Insight Analytics can help: custom automation workflows, AI-powered tools (like resume screening, invoicing, WhatsApp assistants), and Excel-based systems tailored to their business.\n- Keep responses short and conversational \u2014 this is a WhatsApp-style chat, not an essay. 2-4 sentences per reply unless asked for detail.\n- Use simple, clear language. Avoid technical jargon unless the user demonstrates technical familiarity.\n- If pricing comes up, explain that engagements are retainer-based and mention that a quick call is the best way to scope their specific needs \u2014 don't quote numbers.\n- Always try to capture the lead's name, business name, and the problem they want solved, so it can be logged.\n- If you don't know something specific about current projects or pricing, say a team member will follow up rather than guessing.\n- Stay professional but friendly \u2014 reflect a local, approachable tone rather than a generic corporate one.\n\nNever invent client names, case studies, or pricing figures that haven't been provided to you." } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3.1, "position": [ 160, -80 ], "id": "9c7bde19-eccf-459b-8d91-9e3d91ded781", "name": "AI Agent" }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-5-mini" }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.3, "position": [ -32, 144 ], "id": "58514c5d-6bd1-4c08-9e15-4374a0821054", "name": "OpenAI Chat Model", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "contextWindowLength": 20 }, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.4, "position": [ 96, 144 ], "id": "868c9fa6-e5c7-4bc7-8eb8-da36a3de46a2", "name": "Simple Memory" }, { "parameters": { "description": "use this tool to specify unique data", "jsCode": "// Code Tool: extract structured lead data from the agent's query\n// Fields: name, email, query, appointment, status, buyer type\n// Input: `query` (string) \u2014 either a JSON string or free/labeled text\n// Output: a single JSON string the agent can read back\n\nfunction extractField(text, labels) {\n for (const label of labels) {\n const regex = new RegExp(label + \"\\\\s*[:\\\\-]\\\\s*([^\\\\n,;]+)\", \"i\");\n const match = text.match(regex);\n if (match) return match[1].trim();\n }\n return null;\n}\n\nlet result;\n\n// Case 1: agent already sent structured JSON\ntry {\n const parsed = JSON.parse(query);\n result = {\n name: parsed.name ?? null,\n email: parsed.email ?? null,\n query: parsed.query ?? null,\n appointment: parsed.appointment ?? null,\n status: parsed.status ?? null,\n buyer_type: parsed.buyer_type ?? parsed.buyerType ?? null,\n };\n} catch (e) {\n // Case 2: fall back to parsing free/labeled text\n const text = query;\n\n const emailMatch = text.match(/[\\w.+-]+@[\\w-]+\\.[\\w.-]+/);\n\n result = {\n name: extractField(text, [\"name\"]),\n email: emailMatch ? emailMatch[0] : extractField(text, [\"email\"]),\n query: extractField(text, [\"query\", \"message\", \"inquiry\"]),\n appointment: extractField(text, [\"appointment\", \"appt\", \"date\", \"meeting\"]),\n status: extractField(text, [\"status\"]),\n buyer_type: extractField(text, [\"buyer type\", \"buyer\", \"type\"]),\n };\n}\n\n// Basic validation flags \u2014 helps the agent know what's still missing\nresult.missing_fields = Object.entries(result)\n .filter(([key, val]) => key !== \"missing_fields\" && !val)\n .map(([key]) => key);\n\nreturn JSON.stringify(result);" }, "type": "@n8n/n8n-nodes-langchain.toolCode", "typeVersion": 1.3, "position": [ 224, 144 ], "id": "fb9a10f7-946c-45ee-a41f-b2099ef7fcc0", "name": "Code Tool" }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "REPLACE_WITH_YOUR_GOOGLE_SHEET_ID", "mode": "list", "cachedResultName": "Leads", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_YOUR_GOOGLE_SHEET_ID/edit" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REPLACE_WITH_YOUR_GOOGLE_SHEET_ID/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Name": "={{ $fromAI('username') }}", "Email": "={{ $fromAI('useremailaddress') }}", "Query ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Query_', `let the model define the parameters `, 'string') }}", "Appointment status ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Appointment_status_', `let the model define the client plan whether to come to the office or schedule the meeting online `, 'string') }}", "Buyer type ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Buyer_type_', `let the model analyze their purpose and classify them into serious and unserious buyers \n`, 'string') }}" }, "matchingColumns": [ "Email" ], "schema": [ { "id": "Name", "displayName": "Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Email", "displayName": "Email", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "Query ", "displayName": "Query ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Appointment status ", "displayName": "Appointment status ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Buyer type ", "displayName": "Buyer type ", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheetsTool", "typeVersion": 4.7, "position": [ 352, 144 ], "id": "c1ab93e2-bd35-4cfe-80be-674748ffde85", "name": "Append or update row in sheet in Google Sheets", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "calendar": { "__rl": true, "value": "your-email@example.com", "mode": "list", "cachedResultName": "your-email@example.com" }, "start": "={{ $fromAI('startdate') }}", "end": "={{ $fromAI('enddate') }}", "additionalFields": { "attendees": [ "={{ $fromAI('useremailaddress') }}", "your-email@example.com" ], "summary": "={{ $fromAI('summary') }}" } }, "type": "n8n-nodes-base.googleCalendarTool", "typeVersion": 1.3, "position": [ 480, 144 ], "id": "ccf52e00-62e5-406d-a891-94416c82cfcd", "name": "Create an event in Google Calendar", "credentials": { "googleCalendarOAuth2Api": { "name": "" } } } ], "connections": { "When chat message received": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Simple Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "Code Tool": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Append or update row in sheet in Google Sheets": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Create an event in Google Calendar": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] } }, "meta": { "templateCredsSetupCompleted": true } }