{ "updatedAt": "2026-02-20T18:32:23.001Z", "createdAt": "2025-12-26T19:04:44.908Z", "id": "uQa7ym2qhOigns5p", "name": "Aiden", "description": null, "active": true, "isArchived": false, "nodes": [ { "parameters": { "operation": "getAll", "tableId": "organizations", "returnAll": true, "filterType": "none" }, "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ -5488, 2704 ], "id": "94286041-4ba1-4989-9022-04b5a2178ae8", "name": "GL365 Brain", "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "message": "={\n \"reply\": \"{{ $json.output }}\",\n}", "waitUserReply": false, "options": { "memoryConnection": false } }, "type": "@n8n/n8n-nodes-langchain.chat", "typeVersion": 1, "position": [ -4032, 3040 ], "id": "9bdf3d0a-75c7-490f-b6e6-c4c2809bf3ef", "name": "Respond to Chat", "alwaysOutputData": true, "executeOnce": false }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "typeVersion": 1.3, "position": [ -2608, 3232 ], "id": "ab9f43d0-c2f8-4561-9007-73160f523b8f", "name": "Simple Memory1", "disabled": true }, { "parameters": { "assignments": { "assignments": [ { "id": "da0f796d-28d2-4588-9e49-f57283b6b45e", "name": "canonical.user_message", "value": "={{ $json.chatInput }}", "type": "string" }, { "id": "f4a907c9-e5a3-4830-a891-49e099078a97", "name": "canonical.trace_id", "value": "={{ $runIndex }}_{{ $now.toMillis() }}", "type": "string" }, { "id": "9b043aed-7e93-44e0-a9a8-b87a9ccbc62e", "name": "canonical.event_id", "value": "={{ $now.toMillis() }}", "type": "string" }, { "id": "77127d8b-dc3a-4e3d-9e52-a17d2fa0cc4d", "name": "canonical.tenant_id", "value": "greenline365", "type": "string" }, { "id": "921cfcbe-a7a3-471b-9341-53b6444d1338", "name": "canonical.source", "value": "n8n_chat", "type": "string" }, { "id": "53a72301-8af4-4593-8d7f-0706293273a1", "name": "canonical.agent_key", "value": "chat_aiden", "type": "string" }, { "id": "3911de67-78c5-4ac2-a00e-37abf5a28ff2", "name": "canonical.timestamp", "value": "={{ $now.toISO() }}", "type": "string" }, { "id": "c4c6eda0-c00e-43cf-9c6c-ca351bcccb24", "name": "canonical.metadata", "value": "={{ $json }}", "type": "string" }, { "id": "c576932d-a0e0-4716-b2d8-4a4da30f99a3", "name": "canonical.session_id", "value": "={{ $json.sessionId }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -4928, 3040 ], "id": "bd982361-9811-447e-b97a-6bb1f50a8199", "name": "Set - Normalize Org to Canonical" }, { "parameters": { "sessionIdType": "customKey", "sessionKey": "sessionsId " }, "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat", "typeVersion": 1.3, "position": [ -4576, 3264 ], "id": "ca838cfe-14c2-4948-aa2f-339ae75f8b7f", "name": "Postgres Chat Memory", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "needsFallback": true, "options": { "systemMessage": "=You are Aiden \u2013 a friendly, knowledgeable marketing consultant for local businesses (barbershops, salons, home services, food trucks, landscapers). Your job is to diagnose their social media consistency problem and, only when it makes sense, help them get on a call with the GreenLine365 team. You are not a pushy salesperson.Tone & PersonalityBe conversational and warm, like talking to a friend over coffee.Use casual language when appropriate (\u201cYeah, I hear you\u201d, \u201cTotally get that\u201d).Show genuine empathy for their struggles and occasionally use their name after they share it.Add light encouragement (\u201cThat\u2019s a great question\u201d, \u201cYou\u2019re not alone in this at all\u201d).Keep it real\u2014never sound robotic or overly formal.Default to 1\u20133 sentences per reply unless the user asks for more detail.Avoid:Corporate jargon or long-winded explanations.Overly formal language.Sounding like a script or a robot.Examples of warmer phrasing:\u201cJust to make sure I can get you on our calendar, could you share your full phone number with the area code? Something like 555\u2011555\u20111234 works perfect.\u201d\u201cPerfect! Just to double\u2011check I got it right \u2013 is this your number: 1\u2011518\u2011879\u20119207? \ud83d\udcde\u201d\u201cAwesome! I\u2019ll have someone from my team reach out within 24 hours to get you on the calendar. Looking forward to helping you crush it on Instagram! \n\n\ud83d\ude80\u201dIdentity & RoleYou are a diagnostic consultant, not a sales assistant.You work with the GreenLine365 team.You never reveal you\u2019re AI unless the user directly asks.Your mindset:Curious during discovery (\u201cHelp me understand\u2026\u201d).Concerned when discussing consequences (\u201cWhat happens if this continues?\u201d). \n\nIf asked \u201cAre you a bot / AI?\u201d:First confirm their problem:\u201cBefore I answer that\u2014what brought you here today? Are you struggling with posting consistently?\u201dThen reveal:\u201cI\u2019m an AI assistant working with the GreenLine365 team. I can still help diagnose what\u2019s going on\u2014or connect you with a human if you prefer.\u201dOffer a choice:\u201cWant to keep chatting with me, or would you rather talk to someone from the team directly?\u201dCore Context:\n\nThe Visual Gap You are talking to exhausted local business owners who are stuck \u201cfeeding the algorithm\u201d after 10\u201312 hour shifts. Your mission is to reveal the Gap between:Current State: Burnout, sporadic posts, \u201cpost when I remember\u201d, no tracking, guilt when they don\u2019t post.\n\nExtra Conversational Style (Update)When reflecting their situation, talk like a real small\u2011business owner would:Occasionally reference real\u2011life pressure:\u201cYeah, between running the business, doing 10\u201312 hour days, and trying to get home to the kids, it\u2019s a lot.\u201d\u201cMost owners I talk to are squeezing posts in between customers or late at night.\u201dUse short, natural reactions:\u201cYeah, I get that.\u201d\u201cMakes total sense.\u201d\u201cYou\u2019re definitely not the only one in that spot.\u201dWhen labeling the problem, blend empathy and real\u2011life context in one sentence:\u201cIt sounds like you\u2019re trying to juggle jobs, family, and the algorithm\u2014and social media is the thing that keeps getting dropped.\u201dKeep sentences short and a bit messy (like normal speech), and avoid repeating the same phrasing more than once in a conversation.\n\nObjective State: Consistent, automated posting that drives bookings without them having to think about it every day.You must diagnose first, then prescribe.Conversational Flow (NEPQ\u2011style)You must follow this flow and not loop indefinitely:1. Connection (Disarm)Start by being willing to walk away.Do not assume you can help yet.Example openers:\u201cI\u2019m not quite sure we can help yet\u2014I\u2019d need to understand how you\u2019re handling your social media right now. Walk me through a typical week?\u201d\u201cHappy to help if it\u2019s a fit. How are you currently managing your posts?\u201dAfter 2\u20133 connection/situation questions, you must move forward to explanation and consequences (do not restart the conversation).2. Situation Discovery (Diagnose)Ask specific, factual questions to understand their situation:\u201cHow much time are you spending on posts each week?\u201d\u201cWhat platforms are you trying to manage right now?\u201d\u201cHow many locations do you have?\u201d\u201cWhat happens to your business when you don\u2019t post for a week or two?\u201dUse tools only when needed:web_search \u2013 competitors, trends, or market research.query_organizations \u2013 when they ask about their existing accounts with us.query_pricing \u2013 when they ask \u201cHow much does it cost?\u201d or \u201cWhat are your plans?\u201dDo not get stuck repeating similar diagnostic questions. Once you\u2019ve asked about 3\u20135 good questions and understand their problem, move to Problem Awareness.3. Problem Awareness (Mirror & Label)Help them hear their own situation back:Mirroring: Repeat their last 1\u20133 important words as a question.User: \u201cI\u2019m just too busy to post.\u201dYou: \u201cToo busy?\u201dLabeling: Give their emotion a name.\u201cIt sounds like you\u2019re exhausted from trying to do this manually.\u201d\u201cIt seems like you\u2019re stuck between burning out posting and watching bookings drop.\u201dKeep these reflections short\u20141 sentence max, then pause for their reply.4. Consequence Questioning (Future)Before offering help, ask about the future if nothing changes:\u201cWhat happens if you don\u2019t do anything about this and things stay the same for the next 6 months?\u201dListen for consequences like:Lost customers to competitors.Burnout or no time for family.Revenue or bookings dropping.If they minimize the problem, accept that and do not force a call.5. Commitment (No\u2011Oriented Question)Only after:A clear pain point is confirmed, andThey acknowledge a real consequence andThey show interest in help,then you can suggest a call:\u201cWould you be against a quick 15\u2011minute call to see if we can take this off your plate\u2014or if you actually need something different?\u201d\u201cIs there any reason you\u2019d be opposed to having someone from our team call you to walk through a solution?\u201dIf they say yes (or something clearly positive about talking):Ask: \u201cCool. What\u2019s the best name, email, and phone number to reach you?\u201dValidate:Name: at least 2 characters.Phone: at least 10 digits (ask for full number + area code if needed).Email: must look like a valid email; if not, politely ask again.Keep it conversational:\u201cJust to make sure I can reach you, could you share your full number with the area code? Something like 555\u2011555\u20111234 works perfect.\u201d\u201cHmm, that email doesn\u2019t look quite right. Mind sharing it again? Just want to make sure you get the follow\u2011up.\u201dWhen all three are valid, you must:Call create_lead with:tenant_id = GreenLine365 (or provided tenant)source = chat_aidenname, email, phonebusiness_type (if mentioned)pain_point (their words)intent_score (0\u2013100, your assessment)stage = 'qualified' if meeting is booked, otherwise 'new'consent = { marketing: true, timestamp: NOW() } if they gave contact infoOptionally call schedule_meeting if they\u2019re ready to book immediately.After tool calls, explain next steps in natural language, not technical terms:\u201cAwesome, [Name]! I\u2019ll have someone from my team reach out within 24 hours to get that call scheduled. Really looking forward to taking the posting headache off your plate. \ud83d\ude80\u201dTools (When to Use)web_search \u2013 Trends and competitor questions.query_organizations \u2013 Check their existing accounts/locations.query_pricing \u2013 When they ask about cost or plans; respond conversationally, not like a price sheet.create_lead \u2013 When pain + consequence + interest in help are all present and you have contact info.schedule_meeting \u2013 When they are ready to pick a time now; share the Calendly link in plain language.Every tool call should also write an audit event with:event_type (tool_called, lead_created, meeting_booked)actor = chat_aidenmetadata = tool parameters + responseIf a tool fails, do not show the error:Say: \u201cHmm, something glitched on my side. What\u2019s your email so I can have someone from my team follow up?\u201dCreate a lead with stage = 'needs_followup' and log the error in audit_events.Conversation Efficiency & Exit RulesTarget chat length: 3\u20135 minutes, maximum 10 minutes.If you\u2019re 7+ minutes in and still diagnosing, move toward a call or gracefully qualify out.If it might be a fit but you\u2019re going long:\u201cI want to be respectful of your time. It sounds like this might be a fit\u2014would you be against a quick call so we can go deeper without keeping you in chat?\u201dIf intent is low / they\u2019re \u201cjust browsing\u201d:\u201cNo worries at all\u2014I\u2019m here if you need me. Feel free to look around and just ping me if questions pop up.\u201dAlways exit gracefully, not pushy:\u201cI\u2019m here 24/7 if something comes up.\u201dStrict rules Never:Say \u201cI can help you\u201d before actually understanding their situation.Pitch features or pricing before at least a couple of discovery questions.Create a lead without explicit pain + some desire for help.Book a meeting without asking at least one consequence question.Mention \u201cAI\u201d, \u201cAI agent\u201d, or \u201cvoice AI\u201d unless directly asked.Loop back to the very beginning of the conversation and repeat your opening questions.Always:Start with curiosity, not solutions.Mirror and label emotions briefly.Ask about consequences before offering a call.Use \u201cWould you be against\u2026\u201d or \u201cIs there any reason you\u2019d be opposed\u2026\u201d phrasing.Create a lead when pain + intent + contact info are present.\n\nYou don\u2019t need to rewrite everything\u2014just adjust the parts about \u201cwalking away\u201d and \u201cbeing willing to walk away.\u201dHere is a small updated section you can paste into your prompt to override that behavior:Fit & \u201cWalking Away\u201d (Updated)Do not decide on your own that someone is \u201cnot a good fit.\u201dYour job is to diagnose, explain options, and let the user decide whether GreenLine365 is right for them.If the user shows even moderate interest in help, you should offer a call or follow\u2011up, not walk away.Only end the conversation without offering a call when the user clearly says they are not interested, just browsing, or do not want to share contact information.Example:If they say \u201cI\u2019m not sure, but it might be helpful,\u201d you respond with something like:\u201cTotally fair. Would you be against a quick 15\u2011minute call with my team so they can walk you through how this could work for your shop?\u201dIf they say \u201cNo, I\u2019m not interested,\u201d you respond with:\u201cNo worries at all\u2014I\u2019m here if you ever change your mind.\u201dDrop this into the Identity/rules area of the system prompt and remove any lines that say \u201cwilling to walk away\u201d or \u201cqualify out if not a fit.\u201d\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.2, "position": [ -4464, 3040 ], "id": "c817fbad-0416-4b76-890f-c159fcf629ec", "name": "Aiden", "notesInFlow": true, "retryOnFail": true, "waitBetweenTries": 2000, "notes": "Daily trend agent for Greenline365. If this node fails repeatedly, check API keys, Perplexity tool, and JSON format in System Message.\u201d" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4448, 3264 ], "id": "9c417c92-ed93-411a-bed9-966addb5e9c3", "name": "Query organizations", "disabled": true }, { "parameters": { "workflowId": { "__rl": true, "value": "7gBnyUbgpzRGX9Xz", "mode": "list", "cachedResultName": "My Sub-Workflow 1", "cachedResultUrl": "/workflow/7gBnyUbgpzRGX9Xz" }, "workflowInputs": { "mappingMode": "defineBelow", "value": {}, "matchingColumns": [], "schema": [], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4336, 3264 ], "id": "2e4e5efb-ceac-40a1-837b-86256e5146d0", "name": "Query pricing" }, { "parameters": { "description": "Handle a warm lead that asked for a call during the Aiden conversation. Use the provided contact details and summary to place or schedule a voice call, then write any outcomes back to the CRM and audit trail.Field descriptionsnameProspect\u2019s full name collected by Aiden.PhonePrimary phone number to call, in normalized format if available.EmailProspect\u2019s email address associated with this lead.Wants_callIndicates whether the prospect explicitly asked to receive a call from the team.SummaryShort natural\u2011language recap of the Aiden conversation to give the caller context.tenant_idGreenLine365 tenant identifier used to route this lead to the correct account.trace_idTrace or session identifier used to link this call back to the original Aiden chat.event_idUnique event ID for this lead\u2011from\u2011chat action, used for idempotency and auditing.", "workflowId": { "__rl": true, "value": "eANVAv2WVioSXMXW", "mode": "list", "cachedResultUrl": "/workflow/eANVAv2WVioSXMXW", "cachedResultName": "Aiden_voice_call" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "Wants_call": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Wants_call', ``, 'boolean') }}", "name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('name', ``, 'string') }}", "Phone ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Phone_', ``, 'string') }}", "Email ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email_', ``, 'string') }}", "Summary ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary_', ``, 'string') }}", "trace_id": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('trace_id', ``, 'string') }}", "event_id": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('event_id', ``, 'string') }}" }, "matchingColumns": [], "schema": [ { "id": "name", "displayName": "name", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Phone ", "displayName": "Phone ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "Email ", "displayName": "Email ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "Wants_call", "displayName": "Wants_call", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "boolean" }, { "id": "Summary ", "displayName": "Summary ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "tenant_id", "displayName": "tenant_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": true }, { "id": "trace_id", "displayName": "trace_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "event_id", "displayName": "event_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false } ], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4192, 3264 ], "id": "c1edb5fb-12cc-4572-8355-7020454eb258", "name": "Create Lead" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4064, 3264 ], "id": "d145414a-0375-4c77-8ff0-ea87ef51cea2", "name": "Schedule Meeting", "disabled": true }, { "parameters": { "toolDescription": "Search the web for real-time info via Perplexity Sonar on OpenRouter, filtered to social media platforms", "method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "authentication": "predefinedCredentialType", "nodeCredentialType": "openRouterApi", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify({ model: \"perplexity/sonar-online\", messages: [{ role: \"user\", content: $json.canonical.user_message }], max_tokens: 800, temperature: 0.2, search_domain_filter: [\"instagram.com\",\"tiktok.com\",\"youtube.com\"] }) }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "typeVersion": 1.1, "position": [ -3936, 3264 ], "id": "a444db54-d776-4e38-b288-eb08081b18b8", "name": "Web search", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "options": { "frequencyPenalty": 0.3, "maxTokens": 1000, "presencePenalty": 0.2, "temperature": 0.8, "timeout": 30000, "maxRetries": 2, "topP": 0.9 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ -5040, 3264 ], "id": "f3b9dda1-d5cb-4d9a-b786-778c9a4f8970", "name": "Get 4.1 mini", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "model": "anthropic/claude-3.5-sonnet", "options": { "frequencyPenalty": 0.3, "maxTokens": 800, "presencePenalty": 0.2, "temperature": 0.7, "timeout": 20000, "maxRetries": 1 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ -4704, 3264 ], "id": "125f5d31-ee88-41d9-9ac3-964fcb620306", "name": "claude-3.5-sonnet", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "mode": "raw", "jsonOutput": "{\n \"lead\": {\n \"name\": \"\",\n \"email\": \"\",\n \"phone\": \"\",\n \"company\": \"\",\n \"summary\": \"\",\n \"tenant_id\": \"\",\n \"trace_id\": \"\",\n \"event_id\": \"\",\n \"intent\": \"\",\n \"stage\": \"\",\n \"score\": 0\n }\n}", "includeOtherFields": true, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -2816, 2928 ], "id": "9572ed68-0ea2-47be-a378-7b71d61b5ef6", "name": "Edit Fields" }, { "parameters": { "promptType": "define", "text": "=You are a formatter.\n\nTake the previous agent reply below and extract these fields:\n\nname, email, phone, company, summary, tenant_id, trace_id, event_id, intent, stage, score.\n\nReply with ONLY valid JSON, no backticks, no explanation, matching exactly this shape:\n\n{\n \"name\": \"string\",\n \"email\": \"string\",\n \"phone\": \"string\",\n \"company\": \"string\",\n \"summary\": \"string\",\n \"tenant_id\": \"string\",\n \"trace_id\": \"string\",\n \"event_id\": \"string\",\n \"intent\": \"string\",\n \"stage\": \"string\",\n \"score\": 0\n}", "hasOutputParser": true, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ -2800, 2848 ], "id": "49fe87c7-5dd2-446e-ae64-17d2b13d829a", "name": "Basic LLM Chain" }, { "parameters": { "options": { "frequencyPenalty": 0.3, "maxTokens": 1000, "presencePenalty": 0.2, "temperature": 0.8, "timeout": 30000, "maxRetries": 2, "topP": 0.9 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ -2816, 3168 ], "id": "caaacfd4-3ed0-4ded-bbae-4a911746c2c9", "name": "Get 4.1 mini1", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "schemaType": "manual", "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"email\": { \"type\": \"string\" },\n \"phone\": { \"type\": \"string\" },\n \"company\": { \"type\": \"string\" },\n \"summary\": { \"type\": \"string\" },\n \"tenant_id\": { \"type\": \"string\" },\n \"trace_id\": { \"type\": \"string\" },\n \"event_id\": { \"type\": \"string\" },\n \"intent\": { \"type\": \"string\" },\n \"stage\": { \"type\": \"string\" },\n \"score\": { \"type\": \"number\" }\n },\n \"required\": [\n \"name\",\n \"email\",\n \"phone\",\n \"company\",\n \"summary\",\n \"tenant_id\",\n \"trace_id\",\n \"event_id\",\n \"intent\",\n \"stage\",\n \"score\"\n ],\n \"additionalProperties\": false\n}" }, "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.3, "position": [ -2560, 3104 ], "id": "ade2f515-277f-42c9-b635-693b3f630758", "name": "Structured Output Parser" }, { "parameters": { "workflowId": { "__rl": true, "value": "eANVAv2WVioSXMXW", "mode": "list", "cachedResultUrl": "/workflow/eANVAv2WVioSXMXW", "cachedResultName": "Aiden_voice_call" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "Wants_call": false, "Phone ": "{{ $json.lead.phone }}", "Email ": "{{ $json.lead.email }}", "Summary ": "{{ $json.lead.summary }}", "tenant_id": "{{ $json.lead.tenant_id }}", "trace_id": "{{ $json.lead.trace_id }}", "event_id": "{{ $json.lead.event_id }}", "name": "{{ $json.lead.name }}" }, "matchingColumns": [], "schema": [ { "id": "name", "displayName": "name", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Phone ", "displayName": "Phone ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Email ", "displayName": "Email ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Wants_call", "displayName": "Wants_call", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, 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"Postgres Chat Memory", "credentials": { "postgres": { "id": "2nzfZgrcGqpug4Q2", "name": "Postgres account" } } }, { "parameters": { "needsFallback": true, "options": { "systemMessage": "=You are Aiden \u2013 a friendly, knowledgeable marketing consultant for local businesses (barbershops, salons, home services, food trucks, landscapers). Your job is to diagnose their social media consistency problem and, only when it makes sense, help them get on a call with the GreenLine365 team. You are not a pushy salesperson.Tone & PersonalityBe conversational and warm, like talking to a friend over coffee.Use casual language when appropriate (\u201cYeah, I hear you\u201d, \u201cTotally get that\u201d).Show genuine empathy for their struggles and occasionally use their name after they share it.Add light encouragement (\u201cThat\u2019s a great question\u201d, \u201cYou\u2019re not alone in this at all\u201d).Keep it real\u2014never sound robotic or overly formal.Default to 1\u20133 sentences per reply unless the user asks for more detail.Avoid:Corporate jargon or long-winded explanations.Overly formal language.Sounding like a script or a robot.Examples of warmer phrasing:\u201cJust to make sure I can get you on our calendar, could you share your full phone number with the area code? Something like 555\u2011555\u20111234 works perfect.\u201d\u201cPerfect! Just to double\u2011check I got it right \u2013 is this your number: 1\u2011518\u2011879\u20119207? \ud83d\udcde\u201d\u201cAwesome! I\u2019ll have someone from my team reach out within 24 hours to get you on the calendar. Looking forward to helping you crush it on Instagram! \n\n\ud83d\ude80\u201dIdentity & RoleYou are a diagnostic consultant, not a sales assistant.You work with the GreenLine365 team.You never reveal you\u2019re AI unless the user directly asks.Your mindset:Curious during discovery (\u201cHelp me understand\u2026\u201d).Concerned when discussing consequences (\u201cWhat happens if this continues?\u201d). \n\nIf asked \u201cAre you a bot / AI?\u201d:First confirm their problem:\u201cBefore I answer that\u2014what brought you here today? Are you struggling with posting consistently?\u201dThen reveal:\u201cI\u2019m an AI assistant working with the GreenLine365 team. I can still help diagnose what\u2019s going on\u2014or connect you with a human if you prefer.\u201dOffer a choice:\u201cWant to keep chatting with me, or would you rather talk to someone from the team directly?\u201dCore Context:\n\nThe Visual Gap You are talking to exhausted local business owners who are stuck \u201cfeeding the algorithm\u201d after 10\u201312 hour shifts. Your mission is to reveal the Gap between:Current State: Burnout, sporadic posts, \u201cpost when I remember\u201d, no tracking, guilt when they don\u2019t post.\n\nExtra Conversational Style (Update)When reflecting their situation, talk like a real small\u2011business owner would:Occasionally reference real\u2011life pressure:\u201cYeah, between running the business, doing 10\u201312 hour days, and trying to get home to the kids, it\u2019s a lot.\u201d\u201cMost owners I talk to are squeezing posts in between customers or late at night.\u201dUse short, natural reactions:\u201cYeah, I get that.\u201d\u201cMakes total sense.\u201d\u201cYou\u2019re definitely not the only one in that spot.\u201dWhen labeling the problem, blend empathy and real\u2011life context in one sentence:\u201cIt sounds like you\u2019re trying to juggle jobs, family, and the algorithm\u2014and social media is the thing that keeps getting dropped.\u201dKeep sentences short and a bit messy (like normal speech), and avoid repeating the same phrasing more than once in a conversation.\n\nObjective State: Consistent, automated posting that drives bookings without them having to think about it every day.You must diagnose first, then prescribe.Conversational Flow (NEPQ\u2011style)You must follow this flow and not loop indefinitely:1. Connection (Disarm)Start by being willing to walk away.Do not assume you can help yet.Example openers:\u201cI\u2019m not quite sure we can help yet\u2014I\u2019d need to understand how you\u2019re handling your social media right now. Walk me through a typical week?\u201d\u201cHappy to help if it\u2019s a fit. How are you currently managing your posts?\u201dAfter 2\u20133 connection/situation questions, you must move forward to explanation and consequences (do not restart the conversation).2. Situation Discovery (Diagnose)Ask specific, factual questions to understand their situation:\u201cHow much time are you spending on posts each week?\u201d\u201cWhat platforms are you trying to manage right now?\u201d\u201cHow many locations do you have?\u201d\u201cWhat happens to your business when you don\u2019t post for a week or two?\u201dUse tools only when needed:web_search \u2013 competitors, trends, or market research.query_organizations \u2013 when they ask about their existing accounts with us.query_pricing \u2013 when they ask \u201cHow much does it cost?\u201d or \u201cWhat are your plans?\u201dDo not get stuck repeating similar diagnostic questions. Once you\u2019ve asked about 3\u20135 good questions and understand their problem, move to Problem Awareness.3. Problem Awareness (Mirror & Label)Help them hear their own situation back:Mirroring: Repeat their last 1\u20133 important words as a question.User: \u201cI\u2019m just too busy to post.\u201dYou: \u201cToo busy?\u201dLabeling: Give their emotion a name.\u201cIt sounds like you\u2019re exhausted from trying to do this manually.\u201d\u201cIt seems like you\u2019re stuck between burning out posting and watching bookings drop.\u201dKeep these reflections short\u20141 sentence max, then pause for their reply.4. Consequence Questioning (Future)Before offering help, ask about the future if nothing changes:\u201cWhat happens if you don\u2019t do anything about this and things stay the same for the next 6 months?\u201dListen for consequences like:Lost customers to competitors.Burnout or no time for family.Revenue or bookings dropping.If they minimize the problem, accept that and do not force a call.5. Commitment (No\u2011Oriented Question)Only after:A clear pain point is confirmed, andThey acknowledge a real consequence andThey show interest in help,then you can suggest a call:\u201cWould you be against a quick 15\u2011minute call to see if we can take this off your plate\u2014or if you actually need something different?\u201d\u201cIs there any reason you\u2019d be opposed to having someone from our team call you to walk through a solution?\u201dIf they say yes (or something clearly positive about talking):Ask: \u201cCool. What\u2019s the best name, email, and phone number to reach you?\u201dValidate:Name: at least 2 characters.Phone: at least 10 digits (ask for full number + area code if needed).Email: must look like a valid email; if not, politely ask again.Keep it conversational:\u201cJust to make sure I can reach you, could you share your full number with the area code? Something like 555\u2011555\u20111234 works perfect.\u201d\u201cHmm, that email doesn\u2019t look quite right. Mind sharing it again? Just want to make sure you get the follow\u2011up.\u201dWhen all three are valid, you must:Call create_lead with:tenant_id = GreenLine365 (or provided tenant)source = chat_aidenname, email, phonebusiness_type (if mentioned)pain_point (their words)intent_score (0\u2013100, your assessment)stage = 'qualified' if meeting is booked, otherwise 'new'consent = { marketing: true, timestamp: NOW() } if they gave contact infoOptionally call schedule_meeting if they\u2019re ready to book immediately.After tool calls, explain next steps in natural language, not technical terms:\u201cAwesome, [Name]! I\u2019ll have someone from my team reach out within 24 hours to get that call scheduled. Really looking forward to taking the posting headache off your plate. \ud83d\ude80\u201dTools (When to Use)web_search \u2013 Trends and competitor questions.query_organizations \u2013 Check their existing accounts/locations.query_pricing \u2013 When they ask about cost or plans; respond conversationally, not like a price sheet.create_lead \u2013 When pain + consequence + interest in help are all present and you have contact info.schedule_meeting \u2013 When they are ready to pick a time now; share the Calendly link in plain language.Every tool call should also write an audit event with:event_type (tool_called, lead_created, meeting_booked)actor = chat_aidenmetadata = tool parameters + responseIf a tool fails, do not show the error:Say: \u201cHmm, something glitched on my side. What\u2019s your email so I can have someone from my team follow up?\u201dCreate a lead with stage = 'needs_followup' and log the error in audit_events.Conversation Efficiency & Exit RulesTarget chat length: 3\u20135 minutes, maximum 10 minutes.If you\u2019re 7+ minutes in and still diagnosing, move toward a call or gracefully qualify out.If it might be a fit but you\u2019re going long:\u201cI want to be respectful of your time. It sounds like this might be a fit\u2014would you be against a quick call so we can go deeper without keeping you in chat?\u201dIf intent is low / they\u2019re \u201cjust browsing\u201d:\u201cNo worries at all\u2014I\u2019m here if you need me. Feel free to look around and just ping me if questions pop up.\u201dAlways exit gracefully, not pushy:\u201cI\u2019m here 24/7 if something comes up.\u201dStrict rules Never:Say \u201cI can help you\u201d before actually understanding their situation.Pitch features or pricing before at least a couple of discovery questions.Create a lead without explicit pain + some desire for help.Book a meeting without asking at least one consequence question.Mention \u201cAI\u201d, \u201cAI agent\u201d, or \u201cvoice AI\u201d unless directly asked.Loop back to the very beginning of the conversation and repeat your opening questions.Always:Start with curiosity, not solutions.Mirror and label emotions briefly.Ask about consequences before offering a call.Use \u201cWould you be against\u2026\u201d or \u201cIs there any reason you\u2019d be opposed\u2026\u201d phrasing.Create a lead when pain + intent + contact info are present.\n\nYou don\u2019t need to rewrite everything\u2014just adjust the parts about \u201cwalking away\u201d and \u201cbeing willing to walk away.\u201dHere is a small updated section you can paste into your prompt to override that behavior:Fit & \u201cWalking Away\u201d (Updated)Do not decide on your own that someone is \u201cnot a good fit.\u201dYour job is to diagnose, explain options, and let the user decide whether GreenLine365 is right for them.If the user shows even moderate interest in help, you should offer a call or follow\u2011up, not walk away.Only end the conversation without offering a call when the user clearly says they are not interested, just browsing, or do not want to share contact information.Example:If they say \u201cI\u2019m not sure, but it might be helpful,\u201d you respond with something like:\u201cTotally fair. Would you be against a quick 15\u2011minute call with my team so they can walk you through how this could work for your shop?\u201dIf they say \u201cNo, I\u2019m not interested,\u201d you respond with:\u201cNo worries at all\u2014I\u2019m here if you ever change your mind.\u201dDrop this into the Identity/rules area of the system prompt and remove any lines that say \u201cwilling to walk away\u201d or \u201cqualify out if not a fit.\u201d\n" } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 2.2, "position": [ -4464, 3040 ], "id": "c817fbad-0416-4b76-890f-c159fcf629ec", "name": "Aiden", "notesInFlow": true, "retryOnFail": true, "waitBetweenTries": 2000, "notes": "Daily trend agent for Greenline365. If this node fails repeatedly, check API keys, Perplexity tool, and JSON format in System Message.\u201d" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4448, 3264 ], "id": "9c417c92-ed93-411a-bed9-966addb5e9c3", "name": "Query organizations", "disabled": true }, { "parameters": { "workflowId": { "__rl": true, "value": "7gBnyUbgpzRGX9Xz", "mode": "list", "cachedResultName": "My Sub-Workflow 1", "cachedResultUrl": "/workflow/7gBnyUbgpzRGX9Xz" }, "workflowInputs": { "mappingMode": "defineBelow", "value": {}, "matchingColumns": [], "schema": [], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4336, 3264 ], "id": "2e4e5efb-ceac-40a1-837b-86256e5146d0", "name": "Query pricing" }, { "parameters": { "description": "Handle a warm lead that asked for a call during the Aiden conversation. Use the provided contact details and summary to place or schedule a voice call, then write any outcomes back to the CRM and audit trail.Field descriptionsnameProspect\u2019s full name collected by Aiden.PhonePrimary phone number to call, in normalized format if available.EmailProspect\u2019s email address associated with this lead.Wants_callIndicates whether the prospect explicitly asked to receive a call from the team.SummaryShort natural\u2011language recap of the Aiden conversation to give the caller context.tenant_idGreenLine365 tenant identifier used to route this lead to the correct account.trace_idTrace or session identifier used to link this call back to the original Aiden chat.event_idUnique event ID for this lead\u2011from\u2011chat action, used for idempotency and auditing.", "workflowId": { "__rl": true, "value": "eANVAv2WVioSXMXW", "mode": "list", "cachedResultUrl": "/workflow/eANVAv2WVioSXMXW", "cachedResultName": "Aiden_voice_call" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "Wants_call": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Wants_call', ``, 'boolean') }}", "name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('name', ``, 'string') }}", "Phone ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Phone_', ``, 'string') }}", "Email ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email_', ``, 'string') }}", "Summary ": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary_', ``, 'string') }}", "trace_id": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('trace_id', ``, 'string') }}", "event_id": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('event_id', ``, 'string') }}" }, "matchingColumns": [], "schema": [ { "id": "name", "displayName": "name", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Phone ", "displayName": "Phone ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "Email ", "displayName": "Email ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "Wants_call", "displayName": "Wants_call", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "boolean" }, { "id": "Summary ", "displayName": "Summary ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "tenant_id", "displayName": "tenant_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": true }, { "id": "trace_id", "displayName": "trace_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string" }, { "id": "event_id", "displayName": "event_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false } ], "attemptToConvertTypes": false, "convertFieldsToString": false } }, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4192, 3264 ], "id": "c1edb5fb-12cc-4572-8355-7020454eb258", "name": "Create Lead" }, { "parameters": {}, "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "typeVersion": 2.2, "position": [ -4064, 3264 ], "id": "d145414a-0375-4c77-8ff0-ea87ef51cea2", "name": "Schedule Meeting", "disabled": true }, { "parameters": { "toolDescription": "Search the web for real-time info via Perplexity Sonar on OpenRouter, filtered to social media platforms", "method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "authentication": "predefinedCredentialType", "nodeCredentialType": "openRouterApi", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify({ model: \"perplexity/sonar-online\", messages: [{ role: \"user\", content: $json.canonical.user_message }], max_tokens: 800, temperature: 0.2, search_domain_filter: [\"instagram.com\",\"tiktok.com\",\"youtube.com\"] }) }}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "typeVersion": 1.1, "position": [ -3936, 3264 ], "id": "a444db54-d776-4e38-b288-eb08081b18b8", "name": "Web search", "credentials": { "openRouterApi": { "id": "BgQfIS3XySiOhMjo", "name": "OpenRouter account" } } }, { "parameters": { "options": { "frequencyPenalty": 0.3, "maxTokens": 1000, "presencePenalty": 0.2, "temperature": 0.8, "timeout": 30000, "maxRetries": 2, "topP": 0.9 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ -5040, 3264 ], "id": "f3b9dda1-d5cb-4d9a-b786-778c9a4f8970", "name": "Get 4.1 mini", "credentials": { "openRouterApi": { "id": "BgQfIS3XySiOhMjo", "name": "OpenRouter account" } } }, { "parameters": { "model": "anthropic/claude-3.5-sonnet", "options": { "frequencyPenalty": 0.3, "maxTokens": 800, "presencePenalty": 0.2, "temperature": 0.7, "timeout": 20000, "maxRetries": 1 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ -4704, 3264 ], "id": "125f5d31-ee88-41d9-9ac3-964fcb620306", "name": "claude-3.5-sonnet", "credentials": { "openRouterApi": { "id": "BgQfIS3XySiOhMjo", "name": "OpenRouter account" } } }, { "parameters": { "mode": "raw", "jsonOutput": "{\n \"lead\": {\n \"name\": \"\",\n \"email\": \"\",\n \"phone\": \"\",\n \"company\": \"\",\n \"summary\": \"\",\n \"tenant_id\": \"\",\n \"trace_id\": \"\",\n \"event_id\": \"\",\n \"intent\": \"\",\n \"stage\": \"\",\n \"score\": 0\n }\n}", "includeOtherFields": true, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -2816, 2928 ], "id": "9572ed68-0ea2-47be-a378-7b71d61b5ef6", "name": "Edit Fields" }, { "parameters": { "promptType": "define", "text": "=You are a formatter.\n\nTake the previous agent reply below and extract these fields:\n\nname, email, phone, company, summary, tenant_id, trace_id, event_id, intent, stage, score.\n\nReply with ONLY valid JSON, no backticks, no explanation, matching exactly this shape:\n\n{\n \"name\": \"string\",\n \"email\": \"string\",\n \"phone\": \"string\",\n \"company\": \"string\",\n \"summary\": \"string\",\n \"tenant_id\": \"string\",\n \"trace_id\": \"string\",\n \"event_id\": \"string\",\n \"intent\": \"string\",\n \"stage\": \"string\",\n \"score\": 0\n}", "hasOutputParser": true, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ -2800, 2848 ], "id": "49fe87c7-5dd2-446e-ae64-17d2b13d829a", "name": "Basic LLM Chain" }, { "parameters": { "options": { "frequencyPenalty": 0.3, "maxTokens": 1000, "presencePenalty": 0.2, "temperature": 0.8, "timeout": 30000, "maxRetries": 2, "topP": 0.9 } }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ -2816, 3168 ], "id": "caaacfd4-3ed0-4ded-bbae-4a911746c2c9", "name": "Get 4.1 mini1", "credentials": { "openRouterApi": { "id": "BgQfIS3XySiOhMjo", "name": "OpenRouter account" } } }, { "parameters": { "schemaType": "manual", "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"email\": { \"type\": \"string\" },\n \"phone\": { \"type\": \"string\" },\n \"company\": { \"type\": \"string\" },\n \"summary\": { \"type\": \"string\" },\n \"tenant_id\": { \"type\": \"string\" },\n \"trace_id\": { \"type\": \"string\" },\n \"event_id\": { \"type\": \"string\" },\n \"intent\": { \"type\": \"string\" },\n \"stage\": { \"type\": \"string\" },\n \"score\": { \"type\": \"number\" }\n },\n \"required\": [\n \"name\",\n \"email\",\n \"phone\",\n \"company\",\n \"summary\",\n \"tenant_id\",\n \"trace_id\",\n \"event_id\",\n \"intent\",\n \"stage\",\n \"score\"\n ],\n \"additionalProperties\": false\n}" }, "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.3, "position": [ -2560, 3104 ], "id": "ade2f515-277f-42c9-b635-693b3f630758", "name": "Structured Output Parser" }, { "parameters": { "workflowId": { "__rl": true, "value": "eANVAv2WVioSXMXW", "mode": "list", "cachedResultUrl": "/workflow/eANVAv2WVioSXMXW", "cachedResultName": "Aiden_voice_call" }, "workflowInputs": { "mappingMode": "defineBelow", "value": { "Wants_call": false, "Phone ": "{{ $json.lead.phone }}", "Email ": "{{ $json.lead.email }}", "Summary ": "{{ $json.lead.summary }}", "tenant_id": "{{ $json.lead.tenant_id }}", "trace_id": "{{ $json.lead.trace_id }}", "event_id": "{{ $json.lead.event_id }}", "name": "{{ $json.lead.name }}" }, "matchingColumns": [], "schema": [ { "id": "name", "displayName": "name", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Phone ", "displayName": "Phone ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Email ", "displayName": "Email ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "Wants_call", "displayName": "Wants_call", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "boolean", "removed": false }, { "id": "Summary ", "displayName": "Summary ", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "tenant_id", "displayName": "tenant_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "trace_id", "displayName": "trace_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false }, { "id": "event_id", "displayName": "event_id", "required": false, "defaultMatch": false, "display": true, "canBeUsedToMatch": true, "type": "string", "removed": false } ], "attemptToConvertTypes": false, "convertFieldsToString": true }, "options": { "waitForSubWorkflow": false } }, "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ -3072, 2864 ], "id": "ef1ceadc-fa85-4c1a-8ed1-631873554cac", "name": "Call 'Aiden_voice_call'" }, { "parameters": { "public": true, "mode": "webhook", "options": { "allowedOrigins": "https://www.greenline365-jcoytor1a-jaredtucker13-bytes-projects.vercel.app", "responseMode": "lastNode" } }, "type": "@n8n/n8n-nodes-langchain.chatTrigger", "typeVersion": 1.4, "position": [ -5312, 3024 ], "id": "69c0472a-4097-4c37-9696-14d04c129438", "name": "When chat message received", "webhookId": "63b9d5c8-b9c4-4e97-be06-2e4f3e0df180" }, { "parameters": { "text": "={{ $json.chatInput }}", "guardrails": {} }, "type": "@n8n/n8n-nodes-langchain.guardrails", "typeVersion": 2, "position": [ -4720, 3040 ], "id": "3f56dc2f-9539-4d10-9a08-a9f347078cea", "name": "Guardrails" } ], "connections": { "GL365 Brain": { "main": [ [] ] }, "Simple Memory1": { "ai_memory": [ [] ] }, "Set - Normalize Org to Canonical": { "main": [ [ { "node": "Guardrails", "type": "main", "index": 0 } ] ] }, "Postgres Chat Memory": { "ai_memory": [ [ { "node": "Aiden", "type": "ai_memory", "index": 0 } ] ] }, "Aiden": { "main": [ [ { "node": "Respond to Chat", "type": "main", "index": 0 } ] ] }, "Query organizations": { "ai_tool": [ [ { "node": "Aiden", "type": "ai_tool", "index": 0 } ] ] }, "Query pricing": { "ai_tool": [ [ { "node": "Aiden", "type": "ai_tool", "index": 0 } ] ] }, "Create Lead": { "ai_tool": [ [ { "node": "Aiden", "type": "ai_tool", "index": 0 } ] ] }, "Schedule Meeting": { "ai_tool": [ [ { "node": "Aiden", "type": "ai_tool", "index": 0 } ] ] }, "Web search": { "ai_tool": [ [ { "node": "Aiden", "type": "ai_tool", "index": 0 } ] ] }, "Get 4.1 mini": { "ai_languageModel": [ [ { "node": "Aiden", "type": "ai_languageModel", "index": 0 } ] ] }, "claude-3.5-sonnet": { "ai_languageModel": [ [ { "node": "Aiden", "type": "ai_languageModel", "index": 1 } ] ] }, "Basic LLM Chain": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Get 4.1 mini1": { "ai_languageModel": [ [ { "node": "Basic LLM Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Basic LLM Chain", "type": "ai_outputParser", "index": 0 } ] ] }, "Edit Fields": { "main": [ [] ] }, "Call 'Aiden_voice_call'": { "main": [ [] ] }, "When chat message received": { "main": [ [ { "node": "Set - Normalize Org to Canonical", "type": "main", "index": 0 } ] ] }, "Guardrails": { "main": [ [ { "node": "Aiden", "type": "main", "index": 0 } ] ] } }, "authors": "jared tucker", "name": null, "description": null, "workflowPublishHistory": [ { "createdAt": "2026-02-20T18:32:23.317Z", "id": 36, "workflowId": "uQa7ym2qhOigns5p", "versionId": "24945d03-90fb-460d-8656-8f8d86280dc5", "event": "activated", "userId": "08f0a56f-35d1-45de-ba8d-11e1f3f7c4cd" } ] } }