{"workflow":{"id":13850,"name":"Production AI Playbook: Deterministic Steps & AI Steps (1 of 5)","views":54,"recentViews":5,"totalViews":54,"createdAt":"2026-03-03T22:36:46.111Z","description":"Clean and validate incoming data before it ever reaches an AI step. This template takes raw webhook data, normalizes inconsistent field names and formats, and routes invalid inputs to error handling.\n\n**What you'll do**\n- Send raw data via a webhook with messy field names and inconsistent formats.\n- Watch the Code node normalize everything into a clean, consistent structure.\n- See how the IF node catches invalid inputs and routes them to error handling.\n\n**What you'll learn**\n- How to use webhooks to receive external data in n8n\n- How Code nodes normalize and clean messy input data\n- How IF nodes validate required fields before passing data to AI steps\n- How to build error handling paths for bad data\n\n**Why it matters**\nGarbage in, garbage out. If your AI step receives inconsistent field names, missing values, or messy formats, the output suffers. This template ensures every AI step starts with clean, validated data.\n\nThis template is a learning companion to the Production AI Playbook, a series that explores strategies, shares best practices, and provides practical examples for building reliable AI systems in n8n.  \n\n[https://go.n8n.io/PAP-D&A-Blog](https://go.n8n.io/PAP-D&A-Blog)","workflow":{"meta":{"instanceId":"da13b80f35ed9d16adbf337111fadd798f3c80e989940f27089cab3947e57699"},"nodes":[{"id":"1c8e06b1-4e77-4271-bd2f-b37ca3a8ff63","name":"Respond - Validation Error","type":"n8n-nodes-base.respondToWebhook","position":[1200,432],"parameters":{"options":{"responseCode":400},"respondWith":"json","responseBody":"={{ JSON.stringify({ status: 'error', errors: $json.validationErrors }) }}"},"typeVersion":1.1},{"id":"64df2cf2-fd02-4323-9bbf-39fb991905cb","name":"Invalid Lead - Error Handler","type":"n8n-nodes-base.code","position":[960,432],"parameters":{"jsCode":"const lead = $input.first().json;\nconst errors = [];\nif (!lead.email || !lead.email.includes('@')) errors.push('Missing or invalid email');\nif (!lead.name) errors.push('Missing name');\nif (!lead.message) errors.push('Missing message');\nreturn { json: { ...lead, isValid: false, validationErrors: errors, processedAt: new Date().toISOString() } };"},"typeVersion":2},{"id":"295405dc-b38a-4dee-ac40-4c2a804d8b4c","name":"Valid Lead - Ready for AI","type":"n8n-nodes-base.code","position":[960,208],"parameters":{"jsCode":"const lead = $input.first().json;\nreturn { json: { ...lead, isValid: true, processedAt: new Date().toISOString(), readyForAI: true } };"},"typeVersion":2},{"id":"425f8875-f544-428c-ad3c-075074b4f30f","name":"Validate Required Fields","type":"n8n-nodes-base.if","position":[720,304],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"valid-check","operator":{"type":"boolean","operation":"true"},"leftValue":"={{ $json.isValid }}","rightValue":true}]}},"typeVersion":2.2},{"id":"f262f8fa-c102-4292-b50e-3a082ac4a1ec","name":"Normalize Input Data","type":"n8n-nodes-base.code","position":[480,304],"parameters":{"jsCode":"// Normalize incoming lead data\nconst raw = $input.first().json.body;\n\nconst normalized = {\n  name: (raw.fullName || raw.name || raw.full_name || '').trim(),\n  email: (raw.email || raw.emailAddress || raw.email_address || '').toLowerCase().trim(),\n  company: (raw.company || raw.organization || raw.org || 'Unknown').trim(),\n  message: (raw.message || raw.body || raw.content || raw.inquiry || '').trim(),\n  source: (raw.source || raw.utm_source || 'web').toLowerCase(),\n  receivedAt: new Date().toISOString()\n};\n\n// Validate required fields\nnormalized.isValid = !!(normalized.email && normalized.email.includes('@') && normalized.name && normalized.message);\n\nreturn { json: normalized };"},"typeVersion":2},{"id":"4791bc46-202c-46f9-8603-322ecab261c6","name":"Webhook - Receive Lead Data","type":"n8n-nodes-base.webhook","position":[256,304],"webhookId":"437dbd95-78da-40a5-80f8-0bffbe3190f1","parameters":{"path":"incoming-lead","options":{},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2},{"id":"c94f5731-4fc2-4524-9f2f-563f41c09275","name":"Respond - Success","type":"n8n-nodes-base.respondToWebhook","position":[1200,208],"parameters":{"options":{},"respondWith":"json","responseBody":"={{ JSON.stringify({ status: 'received', valid: true }) }}"},"typeVersion":1.1},{"id":"5ec1b0e0-f652-4f37-ac4d-4683a8221ce8","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-400,16],"parameters":{"width":560,"height":736,"content":"## Input Normalization + Validation\n\n### How it works\n1. **Webhook** receives raw lead data via POST request.\n2. **Normalize Input Data** (Code node) standardizes field names, trims whitespace, lowercases emails, and flattens inconsistent payloads into a clean object.\n3. **Validate Required Fields** (IF node) checks that email is valid and message is non-empty. Valid leads continue; invalid leads route to error handling.\n4. **Valid Lead** path packages the cleaned data, ready for downstream AI processing. **Invalid Lead** path returns a structured error response listing which fields failed.\n\n### Setup\n- Import the template and open the **Webhook** node to copy its test URL\n- Use a tool like curl or Postman to send a POST request with JSON lead data (fields: name, email, company, message)\n- Inspect the **Normalize Input Data** code node to customize field mappings for your data sources\n\n### Customization\n- Add more validation rules in the IF node (e.g., check company against a known list)\n- Extend normalization to handle additional input formats or sources\n- Connect the Valid Lead output to your AI classification or enrichment workflow\n\nThis template is a learning companion to the Production AI Playbook, a series that explores strategies, shares best practices, and provides practical examples for building reliable AI systems in n8n.  \n\nhttps://go.n8n.io/PAP-D&A-Blog"},"typeVersion":1},{"id":"955fe6f5-e602-45ed-9f06-a1124c65ed7a","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[192,128],"parameters":{"color":7,"width":432,"height":464,"content":"## Receive & Normalize"},"typeVersion":1},{"id":"77c759da-4cbc-4b5f-84ee-a687992be72c","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[656,128],"parameters":{"color":7,"width":752,"height":464,"content":"## Validate"},"typeVersion":1}],"pinData":{},"connections":{"Normalize Input Data":{"main":[[{"node":"Validate Required Fields","type":"main","index":0}]]},"Validate Required Fields":{"main":[[{"node":"Valid Lead - Ready for AI","type":"main","index":0}],[{"node":"Invalid Lead - Error Handler","type":"main","index":0}]]},"Valid Lead - Ready for AI":{"main":[[{"node":"Respond - Success","type":"main","index":0}]]},"Webhook - Receive Lead Data":{"main":[[{"node":"Normalize Input Data","type":"main","index":0}]]},"Invalid Lead - Error Handler":{"main":[[{"node":"Respond - Validation Error","type":"main","index":0}]]}}},"lastUpdatedBy":51,"workflowInfo":{"nodeCount":10,"nodeTypes":{"n8n-nodes-base.if":{"count":1},"n8n-nodes-base.code":{"count":3},"n8n-nodes-base.webhook":{"count":1},"n8n-nodes-base.stickyNote":{"count":3},"n8n-nodes-base.respondToWebhook":{"count":2}}},"status":"published","readyToDemo":null,"user":{"name":"Elvis Sarvia","username":"elvissaravia","bio":"","verified":true,"links":[],"avatar":"https://gravatar.com/avatar/ea69c5850ff18c010244a46216d72964c80a8d752fafefe2be114bdf6d05ae8a?r=pg&d=retro&size=200"},"nodes":[{"id":20,"icon":"fa:map-signs","name":"n8n-nodes-base.if","codex":{"data":{"alias":["Router","Filter","Condition","Logic","Boolean","Branch"],"details":"The IF node can be used to implement binary conditional logic in your workflow. 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