{ "name": "AI lead qualification - evidence review sample", "active": false, "nodes": [ { "id": "2ef05557-c829-4aee-bcb9-41b65805ab8b", "name": "Run synthetic example", "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 0, 0 ], "parameters": {} }, { "id": "d3d01a5e-2cf3-4e87-800a-32bc1d3b20bb", "name": "Seven synthetic records", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 240, 0 ], "parameters": { "jsCode": "// Synthetic fixtures only. No API, AI, email or CRM call is executed.\nreturn [\n {\n \"json\": {\n \"case\": \"eligible_research_candidate\",\n \"account\": \"North Example Manufacturing\",\n \"company_domain\": \"north.example\",\n \"country\": \"US\",\n \"industry\": \"manufacturing\",\n \"existing_opportunity\": false,\n \"enrichment\": {\n \"status\": \"success\",\n \"http_status\": 200,\n \"email_grade\": \"A\"\n },\n \"current_employment_checked\": true,\n \"research\": {\n \"status\": \"completed\",\n \"supports_offer\": true,\n \"source_checked\": true,\n \"source_url\": \"https://north.example/products\",\n \"observed_on\": \"2026-10-26\",\n \"reason\": \"Synthetic product page describes the target manufacturing process.\"\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 0.99,\n \"synthetic\": true\n }\n },\n {\n \"json\": {\n \"case\": \"http_200_no_match\",\n \"account\": \"No Match Example\",\n \"company_domain\": \"nomatch.example\",\n \"country\": \"US\",\n \"industry\": \"manufacturing\",\n \"existing_opportunity\": false,\n \"enrichment\": {\n \"status\": \"not_found\",\n \"http_status\": 200,\n \"email_grade\": null\n },\n \"current_employment_checked\": false,\n \"research\": {\n \"status\": \"completed\",\n \"supports_offer\": true,\n \"source_checked\": true,\n \"source_url\": \"https://nomatch.example/products\",\n \"observed_on\": \"2026-10-26\"\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 0.99,\n \"synthetic\": true\n }\n },\n {\n \"json\": {\n \"case\": \"wrong_industry_high_score\",\n \"account\": \"Example Retail\",\n \"company_domain\": \"retail.example\",\n \"country\": \"US\",\n \"industry\": \"retail\",\n \"existing_opportunity\": false,\n \"enrichment\": {\n \"status\": \"success\",\n \"http_status\": 200,\n \"email_grade\": \"A\"\n },\n \"current_employment_checked\": true,\n \"research\": {\n \"status\": \"completed\",\n \"supports_offer\": true,\n \"source_checked\": true,\n \"source_url\": \"https://retail.example/about\",\n \"observed_on\": \"2026-10-26\"\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 1.0,\n \"synthetic\": true\n }\n },\n {\n \"json\": {\n \"case\": \"deliverable_email_wrong_role\",\n \"account\": \"Role Change Example\",\n \"company_domain\": \"rolechange.example\",\n \"country\": \"US\",\n \"industry\": \"manufacturing\",\n \"existing_opportunity\": false,\n \"enrichment\": {\n \"status\": \"success\",\n \"http_status\": 200,\n \"email_grade\": \"A\"\n },\n \"current_employment_checked\": false,\n \"research\": {\n \"status\": \"completed\",\n \"supports_offer\": true,\n \"source_checked\": true,\n \"source_url\": \"https://rolechange.example/products\",\n \"observed_on\": \"2026-10-26\"\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 0.98,\n \"synthetic\": true\n }\n },\n {\n \"json\": {\n \"case\": \"existing_opportunity\",\n \"account\": \"Existing Example\",\n \"company_domain\": \"existing.example\",\n \"country\": \"US\",\n \"industry\": \"manufacturing\",\n \"existing_opportunity\": true,\n \"enrichment\": {\n \"status\": \"success\",\n \"http_status\": 200,\n \"email_grade\": \"A\"\n },\n \"current_employment_checked\": true,\n \"research\": {\n \"status\": \"completed\",\n \"supports_offer\": true,\n \"source_checked\": true,\n \"source_url\": \"https://existing.example/products\",\n \"observed_on\": \"2026-10-26\"\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 0.99,\n \"synthetic\": true\n }\n },\n {\n \"json\": {\n \"case\": \"research_not_finished\",\n \"account\": \"Pending Example\",\n \"company_domain\": \"pending.example\",\n \"country\": \"US\",\n \"industry\": \"manufacturing\",\n \"existing_opportunity\": false,\n \"enrichment\": {\n \"status\": \"success\",\n \"http_status\": 200,\n \"email_grade\": \"A\"\n },\n \"current_employment_checked\": true,\n \"research\": {\n \"status\": \"running\",\n \"supports_offer\": true,\n \"source_checked\": false,\n \"source_url\": null,\n \"observed_on\": null\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 0.99,\n \"synthetic\": true\n }\n },\n {\n \"json\": {\n \"case\": \"stale_source\",\n \"account\": \"Old Source Example\",\n \"company_domain\": \"oldsource.example\",\n \"country\": \"US\",\n \"industry\": \"manufacturing\",\n \"existing_opportunity\": false,\n \"enrichment\": {\n \"status\": \"success\",\n \"http_status\": 200,\n \"email_grade\": \"A\"\n },\n \"current_employment_checked\": true,\n \"research\": {\n \"status\": \"completed\",\n \"supports_offer\": true,\n \"source_checked\": true,\n \"source_url\": \"https://oldsource.example/products\",\n \"observed_on\": \"2025-01-01\"\n },\n \"ai_label\": \"qualified\",\n \"ai_confidence\": 0.99,\n \"synthetic\": true\n }\n }\n];" } }, { "id": "3dc5aa09-8db7-4532-ad12-300e4a43d874", "name": "Check evidence before qualification", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 480, 0 ], "parameters": { "jsCode": "// Normalized examples, not the raw schema of any provider.\n// A high model score never bypasses the business criteria.\nconst asOf = Date.parse('2026-10-27T12:00:00Z');\nconst maxAgeDays = 30; // Illustrative operating rule, not a vendor guarantee.\nreturn $input.all().map(item => {\n const x = item.json;\n let route = 'hold';\n const reasons = [];\n if (x.country !== 'US' || x.industry !== 'manufacturing') {\n route = 'exclude'; reasons.push('Outside the explicitly selected sample market.');\n } else if (x.existing_opportunity === true) {\n route = 'existing_owner'; reasons.push('An opportunity already exists. Do not count a new lead.');\n } else {\n if (x.enrichment?.status !== 'success') reasons.push('No successful enrichment match; HTTP 200 alone is insufficient.');\n if (x.current_employment_checked !== true) reasons.push('Current employment is not independently checked; email grade is not identity proof.');\n if (x.research?.status !== 'completed') reasons.push('Research has not completed.');\n if (x.research?.supports_offer !== true) reasons.push('The research does not establish fit with the offer.');\n if (x.research?.source_checked !== true) reasons.push('A reviewer has not checked the cited evidence.');\n const checkedAt = Date.parse(x.research?.observed_on || '');\n const age = (asOf - checkedAt) / 86400000;\n if (!Number.isFinite(age) || age < 0 || age > maxAgeDays) reasons.push('Evidence is missing, future-dated or outside the sample review window.');\n let sourceValid = false;\n try {\n const u = new URL(x.research?.source_url || '');\n sourceValid = u.protocol === 'https:' && (u.hostname === x.company_domain || u.hostname.endsWith('.' + x.company_domain));\n } catch {}\n if (!sourceValid) reasons.push('An inspectable company source is missing. A URL alone still does not prove the claim.');\n if (reasons.length === 0) {\n route = 'human_review';\n reasons.push('Eligible for a research-review queue. No buyer need, budget, consent or sales acceptance is inferred.');\n }\n }\n return {json: {...x, route, reasons, sales_accepted:false, pipeline_value:null,\n send_authorized:false, crm_write_authorized:false}};\n});" } }, { "id": "755e85dd-c630-477f-b3b6-2f9ee525b131", "name": "Review results only", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 720, 0 ], "parameters": { "jsCode": "const records = $input.all().map(item => item.json);\nreturn [{json:{synthetic:true, as_of:'2026-10-27', records,\n counts: records.reduce((a,r) => {a[r.route]=(a[r.route]||0)+1;return a;},{}),\n sales_accepted:0, pipeline_value:null, outgoing_messages:0,\n note:'This manual demonstration contains fixture data. It neither calls AI nor contacts any provider or CRM.'}}];" } }, { "id": "470e3db0-9283-4258-ba11-92ef4c6ee452", "name": "MoltSets lookup - disconnected and disabled", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 240, 300 ], "parameters": { "method": "POST", "url": "https://api.moltsets.com/api/v1/tools/search_people", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "User-Agent", "value": "JeffBrokaw-qualification-example/1.0" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "{\"title\": \"Procurement Director\", \"country\": \"United States\", \"limit\": 3, \"offset\": 0}", "options": { "timeout": 30000 } }, "disabled": true }, { "id": "9b178938-7f9d-400f-898c-610f6d78889c", "name": "Exa research request - disconnected and disabled", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 480, 300 ], "parameters": { "method": "POST", "url": "https://api.exa.ai/websets/v0/websets", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "{\"search\": {\"query\": \"US manufacturers that publish evidence of industrial machining capabilities on their own company websites\", \"count\": 3}}", "options": { "timeout": 30000 } }, "disabled": true } ], "connections": { "Run synthetic example": { "main": [ [ { "node": "Seven synthetic records", "type": "main", "index": 0 } ] ] }, "Seven synthetic records": { "main": [ [ { "node": "Check evidence before qualification", "type": "main", "index": 0 } ] ] }, "Check evidence before qualification": { "main": [ [ { "node": "Review results only", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "pinData": {}, "tags": [] }