{"workflow":{"id":14137,"name":"Qualify real estate leads from Typeform to Airtable with Gemini and smart email routing","views":7,"recentViews":1,"totalViews":7,"createdAt":"2026-03-18T09:38:05.278Z","description":"# 🏠 AI Real Estate Lead Qualifier β€” Typeform to Airtable with Smart Email Routing\n\n### Automatically qualify property leads, score them with AI, save to Airtable, and send personalised emails β€” all in seconds.\n\n---\n\n## πŸ“– Description\n\nEvery time a prospect submits your Typeform property inquiry, this workflow kicks in automatically. It extracts their details, runs them through an AI lead scoring engine, saves the record to Airtable, and sends a personalised email β€” a priority response for hot leads, a nurture email for everyone else.\n\n**No manual review. No missed leads. No delayed follow-ups.**\n\nThis is built for real estate agencies, leasing companies, and property managers who receive inquiries through Typeform and want instant, intelligent responses without hiring extra staff.\n\n---\n\n## ✨ Key Features\n\n- **Instant lead capture** β€” triggers the moment Typeform receives a submission\n- **AI lead scoring** β€” Google Gemini classifies every lead as High, Medium, or Low automatically\n- **Smart email routing** β€” High leads get a priority response, others get a nurture sequence\n- **Airtable CRM sync** β€” every lead saved with full details + AI assessment\n- **Robust AI parsing** β€” 4-layer fallback system ensures AI output is always usable\n- **Personalised emails** β€” name, property type, location, budget pulled into every email automatically\n- **No-code maintenance** β€” update scoring rules in the prompt, email copy in the nodes\n\n---\n\n## πŸ”„ How It Works\n\n```\nProspect submits Typeform inquiry\n ↓\nWebhook receives the form payload\n ↓\nExtract Typeform Fields\n β†’ name, email, phone, property type\n β†’ purpose, location, budget, requirements\n ↓\nAI Lead Qualifier (Google Gemini)\n β†’ lead_score: High / Medium / Low\n β†’ intent, timeline, notes\n ↓\nParse AI Output (4-layer fallback)\n ↓\nSave to Airtable CRM\n ↓\nHigh Lead? (IF check)\n βœ… YES β†’ Priority Email (contact within 2 hours)\n ❌ NO β†’ Nurture Email (contact within 1-2 days)\n```\n\n---\n\n## πŸ€– AI Lead Scoring Rules\n\nThe AI automatically classifies leads based on these criteria:\n\n| Score | Criteria |\n| :--- | :--- |\n| πŸ”΄ **High** | Has budget + specific location + clear purpose (investment or near-term buying) |\n| 🟑 **Medium** | Partial information β€” needs follow-up to qualify further |\n| 🟒 **Low** | Vague inquiry, missing budget or location, early exploration |\n\nThe AI also extracts:\n- **Intent** β€” what the lead is trying to achieve\n- **Timeline** β€” how urgently they need a property\n- **Notes** β€” assessment summary for your sales team\n\n---\n\n## πŸ“§ Email Templates\n\n### High Lead Email\n- Subject: `🏠 [Name], we have properties matching your needs!`\n- Dark blue header β€” premium feel\n- Full inquiry summary (property, purpose, location, budget, timeline)\n- AI assessment notes included\n- Promise: senior agent contacts within **2 hours**\n\n### Nurture Email (Medium / Low)\n- Subject: `Thanks for reaching out, [Name]!`\n- Grey header β€” warm and professional\n- Inquiry summary (property, location, budget)\n- Preparation tips while they wait\n- Promise: contact within **1-2 business days**\n\n---\n\n## πŸ›  Setup Requirements\n\n### 1. Typeform Setup\n\nCreate a Typeform with these fields and note their **field ref IDs** from the Typeform API:\n\n| Field | Type | Required |\n| :--- | :--- | :---: |\n| Full Name | Short text | βœ… |\n| Phone Number | Phone | βœ… |\n| Email Address | Email | βœ… |\n| Property Type | Multiple choice | βœ… |\n| Purpose | Multiple choice | βœ… |\n| Preferred Location | Short text | βœ… |\n| Budget Range | Multiple choice | βœ… |\n| Requirements | Long text | βœ… |\n| Consent | Yes/No | Optional |\n\n**Connect Typeform webhook:**\n- Typeform Dashboard β†’ Connect β†’ Webhooks\n- URL: your n8n webhook URL (Production URL from the Webhook node)\n- Method: POST\n\n### 2. Update Field Refs\n\nIn the **Extract Typeform Fields** Code node, update the `REF_*` constants to match your actual Typeform field reference IDs:\n\n```javascript\nconst REF_NAME = 'your-field-ref-here';\nconst REF_EMAIL = 'your-field-ref-here';\nconst REF_PHONE = 'your-field-ref-here';\n// ... etc\n```\n\nFind your field refs from the Typeform API or by logging a test webhook payload.\n\n### 3. Airtable Setup\n\nCreate an Airtable base with a table containing these fields:\n\n| Field Name | Field Type |\n| :--- | :--- |\n| Full Name | Single line text |\n| Email Address | Email |\n| Mobile Phone Number | Phone |\n| Property Type | Single line text |\n| Purpose | Single line text |\n| Preferred Location | Single line text |\n| Budget Range | Single line text |\n| Requirements | Long text |\n| Submit Date | Single line text |\n| Lead Score | Single line text |\n| Intent | Single line text |\n| Timeline | Single line text |\n| Notes | Long text |\n\nUpdate the **Save to Airtable** node with your Base ID and Table ID.\n\n### 4. Credentials Required\n\n| Credential | Used for | Free? |\n| :--- | :--- | :--- |\n| **Google Gemini (PaLM) API** | AI lead scoring | Free tier available |\n| **Airtable Personal Access Token** | CRM save | Free |\n| **SMTP** | Sending emails | Depends on provider |\n\n### 5. Email Configuration\n\nIn both email nodes, update:\n- `fromEmail` β€” your sending address\n- SMTP credential β€” your email provider details\n\n**Recommended SMTP providers for testing:** Mailtrap (sandbox), Gmail, SendGrid\n\n---\n\n## βš™οΈ Workflow Nodes\n\n| Node | Type | Purpose |\n| :--- | :--- | :--- |\n| Webhook | Webhook | Receives Typeform POST payload |\n| Extract Typeform Fields | Code | Parses answers by field ref ID |\n| AI Lead Qualifier | AI Agent | Scores lead using Gemini |\n| Google Gemini Chat Model | LLM | AI model for scoring |\n| Parse AI Output | Code | Extracts JSON with 4-layer fallback |\n| Save to Airtable | Airtable | Creates CRM record |\n| High Lead? | IF | Routes by lead score |\n| Priority Email | Email Send | Sends to High leads |\n| Nurture Email | Email Send | Sends to Medium/Low leads |\n\n---\n\n## πŸ”§ Customisation\n\n**Change scoring criteria:**\nEdit the prompt in the **AI Lead Qualifier** node. Add your own rules β€” e.g. score higher if budget exceeds a threshold, or if the purpose is investment.\n\n**Add more email tiers:**\nAdd a third IF branch for Low leads with a different nurture sequence, or add a Slack/WhatsApp alert for High leads.\n\n**Use a different form:**\nThe **Extract Typeform Fields** node uses Typeform's `field.ref` system. Replace it with a Google Forms or Jotform parser by adjusting how you read the incoming webhook body.\n\n**Change the AI model:**\nReplace the Google Gemini node with Claude, OpenAI, or any other LLM Chat Model node β€” no other changes needed.\n\n**Add lead deduplication:**\nBefore saving to Airtable, add a search step to check if the email already exists and skip or update instead of creating a duplicate.\n\n---\n\n## πŸ›‘ Robustness Features\n\nThe **Parse AI Output** node uses a 4-layer fallback to ensure the workflow never breaks due to AI formatting issues:\n\n1. **Direct JSON parse** β€” if Gemini returns clean JSON\n2. **Strip markdown fences** β€” if Gemini wraps in ```json blocks\n3. **Regex JSON extraction** β€” if there's extra text around the JSON\n4. **Field-by-field regex** β€” if JSON is malformed, extracts each field individually\n5. **Default fallback** β€” if all else fails, sets `lead_score: Medium`\n\nThis means the workflow continues and saves the record even if the AI returns unexpected output.\n\n---\n\n## πŸ“Š Sample Airtable Record\n\n```\nFull Name: Sarah Johnson\nEmail Address: sarah@example.com\nMobile Phone: +91 9876543210\nProperty Type: 2BHK Apartment\nPurpose: Investment\nPreferred Location: Bandra, Mumbai\nBudget Range: β‚Ή80L - β‚Ή1.2Cr\nRequirements: Parking, gym, sea view\nSubmit Date: 2026-03-18T10:30:00Z\nLead Score: High\nIntent: Serious buyer looking for investment property with strong rental yield\nTimeline: Within 3 months\nNotes: High-intent lead with clear budget and location. Has specific amenity requirements. Recommend immediate callback.\n```\n\n---\n\n## πŸ“¦ Requirements Summary\n\n- n8n (cloud or self-hosted)\n- Typeform account (any paid plan for webhooks)\n- Airtable account (free tier works)\n- Google AI Studio account for Gemini API key (free tier available)\n- SMTP email account\n\n---\n\n## πŸ’‘ Enhancement Ideas\n\n- **WhatsApp alert** β€” send instant WhatsApp to sales team for every High lead via Twilio\n- **Calendar booking link** β€” include a Calendly link in the High lead email\n- **Lead follow-up reminder** β€” add a Wait node + reminder email if no reply in 48 hours\n- **Slack notification** β€” ping your team channel instantly for High leads\n- **Lead scoring dashboard** β€” connect Airtable to a dashboard tool for weekly reports\n\n---\n\n*Built with n8n Β· Google Gemini AI Β· Typeform Β· Airtable Β· SMTP*","workflow":{"meta":{"instanceId":"18dd7b5b2a819da255b0592c0c20c9327ca21e0c36c31033c172c57edf46fb54","templateCredsSetupCompleted":true},"nodes":[{"id":"90fb7e98-29a0-4f57-9fbc-49a92ecb0bb6","name":"Google Gemini Chat Model2","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[5376,3904],"parameters":{"options":{}},"typeVersion":1},{"id":"c1e12098-b371-4a04-b20b-c1453ad24a5d","name":"Nurture Email β€” Medium/Low Lead2","type":"n8n-nodes-base.emailSend","position":[6816,3840],"webhookId":"637cbe55-ead4-4a57-80ba-7f99a2285a1e","parameters":{"html":"=\n
\n\n\n\n\n
\n

We Received Your Inquiry

\n

Our team will be in touch shortly

\n
\n

Hi {{ $('Parse AI Output2').first().json.full_name }},

\n

Thanks for your inquiry! Based on your requirements, we may have available properties that match what you are looking for.

\n

Would you like to schedule a showing this week?

\n
\n

Your Inquiry Summary

\n

Property: {{ $('Parse AI Output2').first().json.property_type }}

\n

Location: {{ $('Parse AI Output2').first().json.location }}

\n

Budget: {{ $('Parse AI Output2').first().json.budget }}

\n
\n

While you wait:

\n

- Browse our latest listings on our website

\n

- Prepare your documents: ID and proof of income

\n

- Shortlist your must-have features

\n

We will be in touch within 1-2 business days.

\n

Warm regards,
The Leasing Team

\n
\n

You received this because you submitted a property inquiry.

\n
\n","options":{"appendAttribution":false},"subject":"=Thanks for reaching out, {{ $('Parse AI Output2').first().json.full_name }}!","toEmail":"={{ $('Parse AI Output2').first().json.email }}","fromEmail":"user@example.com"},"typeVersion":2.1},{"id":"01540a94-d3a7-4e87-b47c-4ef9d62355c0","name":"Priority Email β€” High Lead2","type":"n8n-nodes-base.emailSend","position":[6816,3360],"webhookId":"82ad252a-e1be-4adc-a105-4efb3fab938e","parameters":{"html":"=\n
\n\n\n\n\n
\n

Great News!

\n

We have matching properties for you

\n
\n

Hi {{ $('Parse AI Output2').first().json.full_name }},

\n

Thanks for your inquiry! Based on your requirements, we may have available properties that are a great match.

\n

Would you like to schedule a showing this week?

\n
\n

Your Inquiry Summary

\n

Property: {{ $('Parse AI Output2').first().json.property_type }}

\n

Purpose: {{ $('Parse AI Output2').first().json.purpose }}

\n

Location: {{ $('Parse AI Output2').first().json.location }}

\n

Budget: {{ $('Parse AI Output2').first().json.budget }}

\n

Timeline: {{ $('Parse AI Output2').first().json.timeline }}

\n
\n
\n

Our Assessment

\n

{{ $('Parse AI Output2').first().json.notes }}

\n
\n

A senior agent will contact you within 2 hours.

\n

Warm regards,
The Leasing Team

\n
\n

You received this because you submitted a property inquiry.

\n
\n","options":{"appendAttribution":false},"subject":"=🏠 {{ $('Parse AI Output2').first().json.full_name }}, we have properties matching your needs!","toEmail":"={{ $('Parse AI Output2').first().json.email }}","fromEmail":"user@example.com"},"typeVersion":2.1},{"id":"00840730-9479-431c-a116-49b158352763","name":"High Lead?2","type":"n8n-nodes-base.if","position":[6464,3600],"parameters":{"options":{},"conditions":{"options":{"version":1,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"check-high","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $('Parse AI Output2').first().json.lead_score }}","rightValue":"High"}]}},"typeVersion":2.1},{"id":"5da4dd2e-a654-44b0-9801-b60ce3189924","name":"Save to Airtable2","type":"n8n-nodes-base.airtable","position":[6096,3600],"parameters":{"base":{"__rl":true,"mode":"id","value":"apphmQzLXYHppqZTB"},"table":{"__rl":true,"mode":"id","value":"tbl9t6jSZ8Eg2qn7d"},"columns":{"value":{"Notes":"={{ $json.notes }}","Intent":"={{ $json.intent }}","Purpose":"={{ $json.purpose }}","Timeline":"={{ $json.timeline }}","Full Name":"={{ $json.full_name }}","Lead Score":"={{ $json.lead_score }}","Submit Date":"={{ $json.submit_date }}","Budget Range":"={{ $json.budget }}","Requirements":"={{ $json.requirements }}","Email Address":"={{ $json.email }}","Property Type":"={{ $json.property_type }}","Preferred Location":"={{ $json.location }}","Mobile Phone Number":"={{ $json.phone }}"},"schema":[{"id":"Full Name","type":"string","display":true,"required":false,"displayName":"Full Name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Email Address","type":"string","display":true,"required":false,"displayName":"Email Address","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Mobile Phone Number","type":"string","display":true,"required":false,"displayName":"Mobile Phone Number","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Property Type","type":"string","display":true,"required":false,"displayName":"Property Type","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Purpose","type":"string","display":true,"required":false,"displayName":"Purpose","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Preferred Location","type":"string","display":true,"required":false,"displayName":"Preferred Location","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Budget Range","type":"string","display":true,"required":false,"displayName":"Budget Range","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Requirements","type":"string","display":true,"required":false,"displayName":"Requirements","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Submit Date","type":"string","display":true,"required":false,"displayName":"Submit Date","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Lead Score","type":"string","display":true,"required":false,"displayName":"Lead Score","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Intent","type":"string","display":true,"required":false,"displayName":"Intent","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Timeline","type":"string","display":true,"required":false,"displayName":"Timeline","defaultMatch":false,"canBeUsedToMatch":true},{"id":"Notes","type":"string","display":true,"required":false,"displayName":"Notes","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow"},"options":{"typecast":true},"operation":"create"},"typeVersion":2.1},{"id":"065a88d7-8ad2-421f-af63-f37d34519ccd","name":"Parse AI Output2","type":"n8n-nodes-base.code","position":[5728,3600],"parameters":{"jsCode":"const aiRaw = $input.first().json.output || '';\nconst formData = $('Extract Typeform Fields1').first().json;\n\nconsole.log('Raw AI output:', aiRaw);\n\nlet parsed = null;\n\n// Attempt 1: direct parse\ntry { parsed = JSON.parse(aiRaw.trim()); } catch(e) {}\n\n// Attempt 2: strip markdown fences\nif (!parsed) {\n try {\n const s = aiRaw.replace(/```json/gi,'').replace(/```/g,'').trim();\n parsed = JSON.parse(s);\n } catch(e) {}\n}\n\n// Attempt 3: extract JSON block\nif (!parsed) {\n try {\n const m = aiRaw.match(/\\{[\\s\\S]*\\}/);\n if (m) parsed = JSON.parse(m[0]);\n } catch(e) {}\n}\n\n// Attempt 4: regex fallback\nif (!parsed) {\n const s = aiRaw.match(/lead_score[\"'\\s:]+([\"']?)(High|Medium|Low)\\1/i);\n const i = aiRaw.match(/intent[\"'\\s:]+[\"']([^\"'\\n,}]{3,100})[\"']/);\n const t = aiRaw.match(/timeline[\"'\\s:]+[\"']([^\"'\\n,}]{3,100})[\"']/);\n const n = aiRaw.match(/notes[\"'\\s:]+[\"']([^\"'\\n,}]{3,300})[\"']/);\n parsed = {\n lead_score: s ? s[2] : 'Medium',\n intent: i ? i[1].trim() : 'Needs review',\n timeline: t ? t[1].trim() : 'Not specified',\n notes: n ? n[1].trim() : 'Manual review required'\n };\n}\n\n// Ensure lead_score is exactly High / Medium / Low\nconst validScores = ['High', 'Medium', 'Low'];\nif (!validScores.includes(parsed.lead_score)) {\n parsed.lead_score = 'Medium';\n}\n\nconsole.log('Final parsed:', parsed);\n\nreturn [{\n json: {\n full_name: formData.name || '',\n email: formData.email || '',\n phone: formData.phone || '',\n property_type: formData.property_type || '',\n purpose: formData.purpose || '',\n location: formData.location || '',\n budget: formData.budget || '',\n requirements: formData.requirements || '',\n submit_date: formData.submit_date || new Date().toISOString(),\n lead_score: parsed.lead_score,\n intent: parsed.intent || '',\n timeline: parsed.timeline || '',\n notes: parsed.notes || ''\n }\n}];"},"typeVersion":2},{"id":"1e8ae181-0d83-4be2-a225-3f11cb7163dc","name":"AI Lead Qualifier2","type":"@n8n/n8n-nodes-langchain.agent","position":[5264,3600],"parameters":{"text":"=You are an AI leasing assistant for a real estate company.\n\nAnalyze this property inquiry and return ONLY a raw JSON object.\nNo markdown. No code fences. No explanation. Just the JSON.\n\nExact format:\n{\"lead_score\":\"High\",\"intent\":\"...\",\"timeline\":\"...\",\"notes\":\"...\"}\n\nlead_score must be exactly one of: High, Medium, Low\n\nLead Data:\n- Name: {{ $json.name }}\n- Email: {{ $json.email }}\n- Phone: {{ $json.phone }}\n- Property Type: {{ $json.property_type }}\n- Purpose: {{ $json.purpose }}\n- Location: {{ $json.location }}\n- Budget: {{ $json.budget }}\n- Requirements: {{ $json.requirements }}\n\nScoring Rules:\n- High = has budget + specific location + clear purpose (investment or near-term)\n- Medium = partial info, needs follow-up\n- Low = vague, missing budget or location\n\nReturn JSON only. No other text whatsoever.","options":{"systemMessage":"You are a real estate lead qualification AI. Return raw JSON only. No markdown. No code blocks. No explanation. Just the JSON object on a single line."},"promptType":"define"},"typeVersion":3.1},{"id":"597b672e-5187-47cd-8c11-9558c357affc","name":"Extract Typeform Fields1","type":"n8n-nodes-base.code","position":[4912,3600],"parameters":{"jsCode":"// ============================================================\n// EXACT TYPEFORM FIELD EXTRACTOR\n// Based on confirmed payload with exact field refs\n// ============================================================\n\nconst input = $input.first().json;\n\n// Typeform sends data inside form_response\nconst fr = input.body?.form_response || input.form_response || input.body || input;\nconst answers = fr.answers || [];\n\nconsole.log('Total answers received:', answers.length);\nconsole.log('Raw answers:', JSON.stringify(answers));\n\n// Known field refs from your form\nconst REF_NAME = '12829b05-575d-4c31-9569-79ddd0d9f2c2';\nconst REF_PHONE = 'afd6483f-643d-4656-8e9d-d343c3745356';\nconst REF_EMAIL = 'ebf62b12-c7f5-437f-aefd-848d645794cc';\nconst REF_PROP_TYPE = 'eebd1c48-17b6-4139-a479-c6426b0fd968';\nconst REF_PURPOSE = '9bd9f234-e544-49ae-b8a7-db3ed0b7764e';\nconst REF_LOCATION = '44dc617b-f453-4ec3-8737-be40897c8505';\nconst REF_BUDGET = '15471e0f-d172-4b2f-aaf1-c7f0799fc4bf';\nconst REF_REQUIREMENTS= '60ddbcf2-dd8b-490a-a0dd-f48bd629a30d';\nconst REF_CONSENT = '5b0075bb-75fe-47e9-9b0c-ad4364d45ea9';\n\n// Build a ref -> answer map\nconst refMap = {};\nfor (const a of answers) {\n const ref = a.field?.ref;\n if (ref) refMap[ref] = a;\n}\n\n// Extract value from answer object\nfunction extract(ref) {\n const a = refMap[ref];\n if (!a) return '';\n if (a.type === 'text') return a.text || '';\n if (a.type === 'email') return a.email || '';\n if (a.type === 'phone_number') return a.phone_number || '';\n if (a.type === 'choice') return a.choice?.label || '';\n if (a.type === 'choices') return (a.choices?.labels || []).join(', ');\n if (a.type === 'boolean') return a.boolean ? 'Yes' : 'No';\n if (a.type === 'number') return String(a.number || '');\n return '';\n}\n\nconst name = extract(REF_NAME);\nconst phone = extract(REF_PHONE);\nconst email = extract(REF_EMAIL);\nconst propertyType = extract(REF_PROP_TYPE);\nconst purpose = extract(REF_PURPOSE);\nconst location = extract(REF_LOCATION);\nconst budget = extract(REF_BUDGET);\nconst requirements = extract(REF_REQUIREMENTS);\nconst consent = extract(REF_CONSENT);\nconst submitDate = fr.submitted_at || new Date().toISOString();\n\nconsole.log('Extracted:', { name, phone, email, propertyType, purpose, location, budget, requirements });\n\nreturn [{\n json: {\n name,\n email,\n phone,\n property_type: propertyType,\n purpose,\n location,\n budget,\n requirements,\n consent,\n submit_date: submitDate\n }\n}];"},"typeVersion":2},{"id":"1e8565dd-9538-4875-b31a-da53b69b849d","name":"Webhook1","type":"n8n-nodes-base.webhook","position":[4528,3600],"webhookId":"1676a463-d7fc-43e0-8eba-c654b1e31599","parameters":{"path":"1676a463-d7fc-43e0-8eba-c654b1e31599","options":{},"httpMethod":"POST"},"typeVersion":2.1},{"id":"156265b2-b77d-4a56-9b4b-bfffda64f055","name":"Overview","type":"n8n-nodes-base.stickyNote","position":[4448,3072],"parameters":{"width":1100,"height":280,"content":"## 🏠 Real Estate Lead Qualifier\n\nTypeform submission β†’ AI scores the lead (High / Medium / Low) β†’ saves to Airtable CRM β†’ sends the right email automatically. No manual triage needed.\n\n**Setup checklist:**\n- Paste the Webhook production URL into Typeform β†’ Connect β†’ Webhooks\n- Add your Google Gemini API key to the Gemini Chat Model node (or swap for GPT-4o / Claude)\n- Connect your Airtable credential and replace the Base ID + Table ID in the Airtable node\n- Update `fromEmail` in both Send Email nodes before going live\n- If you rebuild the Typeform, update the `REF_` constants in the Extract Fields node"},"typeVersion":1},{"id":"fa3971b5-6761-46a1-aeae-896470486ee0","name":"Webhook note","type":"n8n-nodes-base.stickyNote","position":[4448,3408],"parameters":{"color":5,"width":290,"height":402,"content":"**Webhook**\n\nTypeform POSTs here on every submission. Copy the production URL from this node and paste it into:\nTypeform β†’ Connect β†’ Webhooks"},"typeVersion":1},{"id":"13394412-3d94-4d79-aa57-ad7fbd837e9e","name":"Extractor note","type":"n8n-nodes-base.stickyNote","position":[4816,3408],"parameters":{"color":5,"width":322,"height":400,"content":"**Extract Typeform Fields**\n\nTypeform sends field *reference IDs*, not names. This node maps refs β†’ values.\n\n⚠️ If you rebuild the form, update the REF_ constants at the top of this node. Log a test webhook payload to find the new refs."},"typeVersion":1},{"id":"5e4aedfb-c1ef-406e-9452-8ae477e49a16","name":"AI note","type":"n8n-nodes-base.stickyNote","position":[5184,3408],"parameters":{"color":6,"width":370,"height":388,"content":"**AI Lead Qualifier**\n\nGemini reads the lead and returns JSON:\nβ€’ `lead_score` β€” High / Medium / Low\nβ€’ `intent` β€” what they actually want\nβ€’ `timeline` β€” how urgent\nβ€’ `notes` β€” summary for sales\n\nEdit scoring rules in the prompt."},"typeVersion":1},{"id":"602203da-a46e-49fd-817e-932827389390","name":"Model note","type":"n8n-nodes-base.stickyNote","position":[5104,3856],"parameters":{"color":6,"width":450,"height":186,"content":"Connect your Gemini credential here.\nCan swap for GPT-4o or Claude "},"typeVersion":1},{"id":"13568e8f-2eab-491f-8ecc-9d5bded2dac9","name":"Parse note","type":"n8n-nodes-base.stickyNote","position":[5600,3408],"parameters":{"color":6,"width":322,"height":388,"content":"**Parse AI Output**\n\nGemini sometimes wraps JSON in backticks or adds extra text. 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