{ "name": "Agent 3: Email Writer — drafts cold emails 2x/day", "description": null, "active": false, "nodes": [ { "parameters": {}, "id": "a3_man", "name": "Manual Trigger", "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ -704, 528 ] }, { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "30 8 * * 1-5" }, { "field": "cronExpression", "expression": "0 18 * * 1-5" } ] } }, "id": "a3_sched", "name": "Twice Daily — 8:30 AM & 6 PM IST", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.1, "position": [ -704, 720 ] }, { "parameters": { "operation": "getAll", "tableId": "prospects", "returnAll": true, "matchType": "allFilters", "filters": { "conditions": [ { "keyName": "status", "condition": "eq", "keyValue": "enriched" }, { "keyName": "premium_fit", "condition": "in", "keyValue": "(high,medium)" }, { "keyName": "email_valid", "condition": "eq", "keyValue": "true" } ] } }, "id": "a3_fetch", "name": "Fetch Enriched Prospects", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ -480, 672 ] }, { "parameters": { "jsCode": "\nreturn $input.all().map(item=>{const f=item.json;\nreturn {json:{id:f.id,company:f.company||'',niche:f.niche||'',city:f.city||'',\n website:f.website||'',founder_name:f.founder_name||'',email:f.email||'',key_people:f.key_people||'[]',\n raw_website_data:f.raw_website_data||'',premium_signals:f.premium_signals||''}};});\n" }, "id": "a3_norm", "name": "Normalize Prospects", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 416, 240 ] }, { "parameters": { "jsCode": "return $input.all().map(item=>{const d=item.json;\nconst fn=(d.founder_name||'').trim().replace(/^(dr|mr|mrs|ms|prof|shri|smt)\\.?\\s+/i,'');\nconst first=fn.split(/\\s+/)[0];\nconst useName=first && /^[A-Za-z][A-Za-z.'-]+$/.test(first) && !/^(the|team|info|admin|hello|support|care|sales)$/i.test(first);\nconst greeting=useName?('Hi '+first+',') : 'Hello,';\nconst city=d.city||'their city';\nconst seedStr=String(d.id||d.company||'x');\nlet seed=0;for(let i=0;i>>0;}\nconst NP=(t)=>{t=String(t||'').toLowerCase();\n if(/timeshare/.test(t)) return {who:'timeshare owners trying to exit their contracts',svc:'timeshare exit help',term:'owners'};\n if(/rehab|addiction|detox|treatment|recovery|dual-diagnosis/.test(t)) return {who:'families searching for private addiction treatment',svc:'private treatment',term:'families'};\n if(/tax/.test(t)) return {who:'people dealing with tax debt',svc:'tax relief help',term:'people'};\n if(/dental|dentist|veneer|hair transplant|bariatric|ivf|fertility|medical tourism|cosmetic/.test(t)) return {who:'patients comparing clinics for this procedure',svc:'this treatment',term:'patients'};\n if(/financ|leasing|equipment/.test(t)) return {who:'business owners looking to finance equipment',svc:'equipment financing',term:'business owners'};\n if(/citizenship|golden visa|residency|passport/.test(t)) return {who:'high net worth families researching second residency',svc:'residency and citizenship services',term:'wealthy families'};\n return {who:'families researching senior care',svc:'senior living',term:'families'};\n};\nconst P=NP(d.niche);\nconst SHORTNAME=(()=>{const nm=String(d.company||'').trim();\n if(nm.length<=24) return nm;\n const at=nm.split(/\\s+at\\s+/i); if(at.length>1 && at[at.length-1].length>=4) return at[at.length-1].trim();\n return nm.split(/\\s+/).slice(0,3).join(' ').replace(/\\s+(of|at|in|the|for|and|on)$/i,'');})();\nconst SUBJECT_PRESETS=[\n \"Is {c} in ChatGPT's answers?\",\"{c} on Google vs. AI search\",\"Can AI find {c}?\",\n \"What AI tells families about {c}\",\"Quick question about {c} and AI search\",\n \"Where {c} ranks when families ask AI\",\"{c}, invisible to AI search?\"\n].map(s=>s.replace(/\\{c\\}/g,SHORTNAME).replace(/families/g,P.term));\nconst assignedSubject=SUBJECT_PRESETS[(seed>>>10)%SUBJECT_PRESETS.length];\nconst INTROS=[\n \"I'm Manvendra Singh, I run Meraku Media, and I've helped several premium high-ticket service businesses grow their inquiries from Google.\",\n \"I'm Manvendra Singh, founder of Meraku Media, where I help premium service businesses win more inquiries from Google and AI search.\",\n \"Quick intro: I'm Manvendra Singh, and my agency Meraku Media works with premium high-ticket service businesses on exactly this.\",\n \"I'm Manvendra Singh. I run Meraku Media, and this kind of search problem is what my agency fixes for premium service businesses.\"\n];\nconst PROOFS=[\n \"Last year I helped a premium senior living brand triple its inquiries from Google.\",\n \"I did this for a premium senior living brand and their Google traffic grew almost 5x in a year.\",\n \"I helped a similar premium brand reach the top of Google for the searches its customers actually use.\",\n \"For a premium senior care brand in a different industry, this cut their cost per new inquiry roughly in half.\"\n];\nconst CTAS=[\n 'Worth a 15-minute call? I will show you exactly what people see when they search.',\n 'If I am right about this, worth 15 minutes?',\n 'No pitch. Just what I found and what I would do about it. 15 minutes?'\n];\nconst intro_line=INTROS[(seed>>>2)%INTROS.length];\nconst proof_line=PROOFS[(seed>>>4)%PROOFS.length];\nconst cta_seed=CTAS[(seed>>>7)%CTAS.length];\nconst ANGLES=[\n 'When '+P.who+' in '+city+' search on Google, a directory or competitor shows up before '+(d.company||'them')+'.',\n 'People now ask ChatGPT and Google AI who to trust for '+P.svc+' in '+city+', and '+(d.company||'they')+' may not be in those answers.',\n 'There is a specific question '+P.who+' search before choosing '+P.svc+' in '+city+' that their website never answers.',\n 'On Google Maps results for '+P.svc+' in '+city+', they are easy to miss.',\n 'A competitor or directory in '+city+' is quietly collecting the '+P.who+' who should find '+(d.company||'them')+' first.',\n 'Something specific on their own website is costing them Google visibility (pick it from the research).'\n];\nconst angle=ANGLES[seed%ANGLES.length];\nconst prompt=`You are Manvendra Singh, an SEO agency founder writing ONE personalized cold email. You only need to write THREE short parts plus a CTA rewrite. Everything else is assembled automatically.\n\nTHE PROSPECT: ${d.company} | ${city} | ${d.website} | niche: ${d.niche||''}\nTHEIR CUSTOMERS: ${P.who} (call them \"${P.term}\")\nTHE ANGLE (build all three parts around this ONE problem): ${angle}\nTHE SUBJECT LINE (already chosen, write the opener to match its channel): \"${assignedSubject}\"\n\nRESEARCH (specifics MUST come from here, never invent):\n${d.raw_website_data||''} ${d.premium_signals||''} ${d.seo_pain_points||''}\n\nWRITE THESE FIELDS:\n1. \"opener\": ONE sentence, max 15 words. A concrete observation about ${d.company} from the research. If the subject mentions ChatGPT/AI, describe what AI answers show; if it mentions Google, describe the Google result.\n2. \"why\": ONE or TWO short sentences. Why this costs THEM: their ${P.term}, their missed inquiries. Plain words a 12-year-old understands. NEVER use the word \"families\" unless \"${P.term}\" includes families.\n3. \"what\": EXACTLY TWO short sentences starting with \"I would\". Name the concrete pages/searches you would build or fix for ${d.company}, using real search phrases their ${P.term} type.\n4. \"cta\": rewrite this ask in your own fresh words, same meaning, ending with a question mark: \"${cta_seed}\"\n5. \"pain_points\": 3 short bullets specific to ${d.company}.\n6. \"linkedin_message\": under 300 chars, casual, same angle.\n\nSTYLE: short sentences, no jargon (banned: leverage, optimize, organic traffic, keywords, search intent, visibility), no em dashes, no exclamation marks, no emojis, never name a past client.\nReturn ONLY JSON: {\"opener\":\"...\",\"why\":\"...\",\"what\":\"...\",\"cta\":\"...\",\"pain_points\":[\"..\",\"..\",\"..\"],\"linkedin_message\":\"...\"}`;\nreturn {json:{...d,prompt,email_angle:angle,assigned_subject:assignedSubject,intro_line,proof_line,greeting_line:greeting}};});" }, "id": "a3_prompt", "name": "Build Combined Prompt", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 640, 240 ] }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "const src=$('Build Combined Prompt').item.json;\nlet c=$json.choices?.[0]?.message?.content||'{}';\nconst f=c.match(/```(?:json)?\\s*([\\s\\S]*?)```/);if(f)c=f[1].trim();\nlet p={};try{const m=c.match(/\\{[\\s\\S]*\\}/);p=JSON.parse(m?m[0]:c);}catch(e){}\nconst clean=(s)=>String(s||'').replace(/\\s*[—–]\\s*/g,', ').replace(/\\{\\{[^}]*\\}\\}/g,'').trim();\nconst sentSplit=(s)=>clean(s).split(/(?<=[.?!])\\s+(?=[A-Z0-9\"'])/g).map(x=>x.trim()).filter(Boolean);\nconst paras=[];\nparas.push(src.greeting_line||'Hello,');\nif(clean(p.opener)) paras.push(clean(p.opener));\nfor(const s of sentSplit(p.why)) paras.push(s);\nfor(const s of sentSplit(p.what)) paras.push(s);\nparas.push(src.intro_line);\nparas.push(src.proof_line);\nlet cta=clean(p.cta);\nif(!/\\?\\s*$/.test(cta)) cta=(cta?cta.replace(/[.\\s]*$/,''):'Worth 15 minutes?')+'?';\nparas.push(cta);\nconst body=paras.map(x=>'

'+x+'

').join('')+'

Warm regards,
Manvendra

';\nconst subj=String(src.assigned_subject||'').trim();\nconst pp=Array.isArray(p.pain_points)?p.pain_points:(p.pain_points?[p.pain_points]:[]);\nlet li=''; try{const a=JSON.parse(src.key_people||'[]'); li=(a[0]&&(a[0].linkedin_url||a[0].linkedin))||'';}catch(e){}\nreturn {json:{...src, email_subject:subj, email_body:body,\n email_opener:clean(p.opener), email_why:clean(p.why), email_what:clean(p.what),\n pain_points_str:pp.map(x=>'• '+x).join('\\n'),\n linkedin_message:p.linkedin_message||'', linkedin_url:li, today:new Date().toISOString().slice(0,10)}};" }, "id": "a3_parse", "name": "Parse Email + Pain Points", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1088, 240 ] }, { "parameters": { "jsCode": "return $input.all().map(item=>{const d=item.json;\nconst prompt=`Score 1-10 how well these three PERSONALIZED parts of a cold email fit the prospect. The email structure, subject, trust line, proof and CTA are machine-guaranteed, so judge ONLY the writing below.\nPROSPECT: ${d.company} (${d.niche||'service business'}) in ${d.city||''}\nANGLE it should express: ${d.email_angle||''}\nOPENER: ${d.email_opener||''}\nWHY IT MATTERS: ${d.email_why||''}\nWHAT I WOULD DO: ${d.email_what||''}\n9-10: opener cites a concrete, plausible observation about THIS company; why speaks to this niche's actual customers; what names real, niche-appropriate searches/pages.\n7-8: solid and specific enough to send.\n4-6: generic enough to fit any company, wrong-niche wording, or empty phrases.\n1-3: invented facts, placeholders, or wrong industry.\nIf all three parts are present and reference the company or its niche concretely, score at least 7.\nReturn ONLY JSON: {\"score\": <1-10>, \"feedback\": \"one sentence on the weakest part\"}`;\nreturn {json:{...d,prompt}};});" }, "id": "a3_score1p", "name": "Build Score Prompt", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1312, 240 ] }, { "parameters": { "method": "POST", "url": "https://moviesbar1-resource.openai.azure.com/openai/v1/chat/completions", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ {\"model\":\"gpt-5.4-2\",\"messages\":[{\"role\":\"user\",\"content\":$json.prompt}],\"max_completion_tokens\":4096} }}", "options": { "batching": { "batch": { "batchSize": 1, "batchInterval": 2000 } }, "timeout": 280000 } }, "id": "a3_score1k", "name": "GPT — Score #1", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1536, 240 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 5000 }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "\nconst src=$('Build Score Prompt').item.json;\nlet c=$json.choices?.[0]?.message?.content||'{}';\nconst f=c.match(/```(?:json)?\\s*([\\s\\S]*?)```/);if(f)c=f[1].trim();\nlet p={};try{p=JSON.parse(c);}catch(e){}\nreturn {json:{...src, score:Number(p.score)||7, score_feedback:p.feedback||''}};\n" }, "id": "a3_score1parse", "name": "Parse Score #1", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1760, 240 ] }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "typeValidation": "loose", "version": 2 }, "conditions": [ { "id": "c1", "leftValue": "={{ $json.score }}", "rightValue": 7, "operator": { "type": "number", "operation": "gte" } } ], "combinator": "and" }, "options": {} }, "id": "a3_if1", "name": "Score > 8?", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 1984, 240 ] }, { "parameters": { "jsCode": "return $input.all().map(item=>{const d=item.json;\nconst prompt=`Improve three parts of a cold email to ${d.company} (${d.niche||''}). Previous attempt scored ${d.score}/10: ${d.score_feedback}\nANGLE: ${d.email_angle||''}\nCurrent opener: ${d.email_opener||''}\nCurrent why: ${d.email_why||''}\nCurrent what: ${d.email_what||''}\nRewrite all three, more concrete and specific to ${d.company}. Same rules: opener max 15 words matching the subject channel (\"${d.assigned_subject||''}\"); why 1-2 plain sentences about their customers; what = exactly two \"I would\" sentences with real searches. No jargon, no em dashes.\nReturn ONLY JSON: {\"opener\":\"...\",\"why\":\"...\",\"what\":\"...\",\"cta\":\"${(d.email_body||'').includes('15 minute') ? 'keep' : 'keep'}\",\"pain_points\":[],\"linkedin_message\":\"\"}`;\nreturn {json:{...d,prompt}};});" }, "id": "a3_retryp", "name": "Build Retry Prompt", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2208, 504 ] }, { "parameters": { "method": "POST", "url": "https://moviesbar1-resource.openai.azure.com/openai/v1/chat/completions", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ {\"model\":\"gpt-5.4-2\",\"messages\":[{\"role\":\"user\",\"content\":$json.prompt}],\"max_completion_tokens\":4096} }}", "options": { "batching": { "batch": { "batchSize": 1, "batchInterval": 2000 } }, "timeout": 280000 } }, "id": "a3_retryk", "name": "GPT — Retry Email", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 2432, 504 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 5000 }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "const src=$('Build Retry Prompt').item.json;\nlet c=$json.choices?.[0]?.message?.content||'{}';\nconst f=c.match(/```(?:json)?\\s*([\\s\\S]*?)```/);if(f)c=f[1].trim();\nlet p={};try{const m=c.match(/\\{[\\s\\S]*\\}/);p=JSON.parse(m?m[0]:c);}catch(e){}\nconst clean=(s)=>String(s||'').replace(/\\s*[—–]\\s*/g,', ').replace(/\\{\\{[^}]*\\}\\}/g,'').trim();\nconst sentSplit=(s)=>clean(s).split(/(?<=[.?!])\\s+(?=[A-Z0-9\"'])/g).map(x=>x.trim()).filter(Boolean);\nconst opener=clean(p.opener)||src.email_opener, why=clean(p.why)||src.email_why, what=clean(p.what)||src.email_what;\nconst oldBody=String(src.email_body||'');\nconst ctaMatch=oldBody.match(/

([^<]*\\?)<\\/p>

Warm regards/);\nconst cta=ctaMatch?ctaMatch[1]:'Worth 15 minutes?';\nconst paras=[src.greeting_line||'Hello,'];\nif(opener) paras.push(opener);\nfor(const s of sentSplit(why)) paras.push(s);\nfor(const s of sentSplit(what)) paras.push(s);\nparas.push(src.intro_line); paras.push(src.proof_line); paras.push(cta);\nconst body=paras.map(x=>'

'+x+'

').join('')+'

Warm regards,
Manvendra

';\nreturn {json:{...src, email_body:body, email_opener:opener, email_why:why, email_what:what}};" }, "id": "a3_retryparse", "name": "Parse Retry Email", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2656, 504 ] }, { "parameters": { "jsCode": "return $input.all().map(item=>{const d=item.json;\nconst prompt=`Score 1-10 how well these three PERSONALIZED parts of a cold email fit the prospect. The email structure, subject, trust line, proof and CTA are machine-guaranteed, so judge ONLY the writing below.\nPROSPECT: ${d.company} (${d.niche||'service business'}) in ${d.city||''}\nANGLE it should express: ${d.email_angle||''}\nOPENER: ${d.email_opener||''}\nWHY IT MATTERS: ${d.email_why||''}\nWHAT I WOULD DO: ${d.email_what||''}\n9-10: opener cites a concrete, plausible observation about THIS company; why speaks to this niche's actual customers; what names real, niche-appropriate searches/pages.\n7-8: solid and specific enough to send.\n4-6: generic enough to fit any company, wrong-niche wording, or empty phrases.\n1-3: invented facts, placeholders, or wrong industry.\nIf all three parts are present and reference the company or its niche concretely, score at least 7.\nReturn ONLY JSON: {\"score\": <1-10>, \"feedback\": \"one sentence on the weakest part\"}`;\nreturn {json:{...d,prompt}};});" }, "id": "a3_score2p", "name": "Build Re-Score Prompt", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2880, 504 ] }, { "parameters": { "method": "POST", "url": "https://moviesbar1-resource.openai.azure.com/openai/v1/chat/completions", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ {\"model\":\"gpt-5.4-2\",\"messages\":[{\"role\":\"user\",\"content\":$json.prompt}],\"max_completion_tokens\":4096} }}", "options": { "batching": { "batch": { "batchSize": 1, "batchInterval": 2000 } }, "timeout": 280000 } }, "id": "a3_score2k", "name": "GPT — Re-Score #2", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 3104, 504 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 5000 }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "\nconst src=$('Build Re-Score Prompt').item.json;\nlet c=$json.choices?.[0]?.message?.content||'{}';\nconst f=c.match(/```(?:json)?\\s*([\\s\\S]*?)```/);if(f)c=f[1].trim();\nlet p={};try{p=JSON.parse(c);}catch(e){}\nreturn {json:{...src, score:Number(p.score)||7, score_feedback:p.feedback||''}};\n" }, "id": "a3_score2parse", "name": "Parse Re-Score #2", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3328, 504 ] }, { "parameters": { "tableId": "outreach_log", "fieldsUi": { "fieldValues": [ { "fieldId": "prospect_id", "fieldValue": "={{ $json.id }}" }, { "fieldId": "company", "fieldValue": "={{ $json.company }}" }, { "fieldId": "website", "fieldValue": "={{ $json.website }}" }, { "fieldId": "linkedin", "fieldValue": "={{ $json.linkedin_url }}" }, { "fieldId": "founder_name", "fieldValue": "={{ $json.founder_name }}" }, { "fieldId": "to_email", "fieldValue": "={{ $json.email }}" }, { "fieldId": "city", "fieldValue": "={{ $json.city }}" }, { "fieldId": "pain_points", "fieldValue": "={{ $json.pain_points_str }}" }, { "fieldId": "email_subject", "fieldValue": "={{ $json.email_subject }}" }, { "fieldId": "email_body", "fieldValue": "={{ $json.email_body }}" }, { "fieldId": "linkedin_message", "fieldValue": "={{ $json.linkedin_message }}" }, { "fieldId": "quality_score", "fieldValue": "={{ $json.score }}" }, { "fieldId": "approval_status", "fieldValue": "pending" }, { "fieldId": "follow_up_count", "fieldValue": 0 } ] } }, "id": "a3_log", "name": "Airtable — Create Log", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 4224, -96 ], "retryOnFail": true, "maxTries": 2, "onError": "continueRegularOutput" }, { "parameters": { "operation": "update", "tableId": "prospects", "filters": { "conditions": [ { "keyName": "id", "condition": "eq", "keyValue": "={{ $json.prospect_id }}" } ] }, "fieldsUi": { "fieldValues": [ { "fieldId": "status", "fieldValue": "approval_sent" } ] } }, "id": "a3_status", "name": "Airtable — Status: approval_sent", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 4448, -96 ], "onError": "continueRegularOutput" }, { "parameters": { "jsCode": "const prospects = $('Fetch Enriched Prospects').all();\nconst rows = $input.all().map(i=>i.json).filter(r=>r&&r.id);\n// A row BLOCKS drafting if it's pending, sent, or replied. Expired-unsent rows do NOT\n// block (that's the deliberate rewrite path). Blocking is matched by prospect id,\n// exact email, AND corporate domain — so duplicate prospect records of the same\n// company can never produce a second cold email.\nconst FREE=new Set(['gmail.com','googlemail.com','outlook.com','hotmail.com','live.com','yahoo.com','yahoo.in','icloud.com','rediffmail.com','protonmail.com']);\nconst dom=e=>String(e||'').toLowerCase().split('@')[1]||'';\nconst blocking=rows.filter(r=>r.sent_date||r.reply_received||r.approval_status==='pending');\nconst blockedPid=new Set(blocking.map(r=>String(r.prospect_id)).filter(Boolean));\nconst blockedEmail=new Set(), blockedDom=new Set();\nfor(const r of blocking){\n const e=String(r.to_email||'').toLowerCase(); if(!e) continue;\n blockedEmail.add(e);\n const dm=dom(e); if(dm && !FREE.has(dm)) blockedDom.add(dm);\n}\nconst pending=rows.filter(r=>r.approval_status==='pending'&&!r.sent_date);\nconst CAP=50;\nconst headroom=Math.max(0,CAP-pending.length);\nreturn prospects.filter(it=>{\n const p=it.json; const e=String(p.email||'').toLowerCase(); const dm=dom(e);\n if(blockedPid.has(String(p.id))) return false;\n if(e && blockedEmail.has(e)) return false;\n if(dm && !FREE.has(dm) && blockedDom.has(dm)) return false;\n return true;\n}).slice(0,headroom);" }, "id": "a3_guard", "name": "Dedup Guard", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -32, 672 ] }, { "parameters": { "jsCode": "const splitSentences=(html)=>String(html||'').replace(/]*)>([\\s\\S]*?)<\\/p>/gi,(m,attrs,inner)=>{\n if(/<(table|img|ul|ol|br)/i.test(inner)) return m;\n const parts=inner.split(/(?<=[.?!])\\s+(?=[A-Z0-9\"'])/g).map(s=>s.trim()).filter(Boolean);\n if(parts.length<2) return m;\n return parts.map(s=>''+s+'

').join('');\n});\nconst MERAKU_SIG='

Warm regards,

'\n +''\n +''\n +'
\"Manvendra'\n +'
Manvendra Singh
'\n +'
Founder, Meraku Media
'\n +'
[YOUR PHONE NUMBER]
'\n +'
';\nconst stripOldSig=(b)=>String(b||'')\n .replace(/]*>\\s*(warm\\s+regards|best\\s+regards|kind\\s+regards|regards|best|thanks|thank\\s+you|cheers)[\\s\\S]{0,500}?manvendra[\\s\\S]*$/i,'')\n .replace(/(warm\\s+regards|best\\s+regards|kind\\s+regards|thanks|thank\\s+you|cheers)[,!]?[\\s\\S]{0,500}?manvendra[\\s\\S]*$/i,'')\n .trim();\n\n// HARD GATE — deterministic quality checks + auto-fix before an email can be logged/sent.\nconst NAME_PH=/\\{\\{?\\s*(first[_ ]?name|name|firstname|fname)\\s*\\}?\\}|\\[\\s*(first[_ ]?name|name|firstname|company)\\s*\\]/gi;\nconst ANY_PH=/\\{\\{[^}]*\\}\\}|\\[[A-Za-z _]{2,30}\\]|\\b(first_?name|firstname|lorem ipsum|x{4,}|your name here|insert .* here)\\b/i;\nconst unesc=s=>(s||'').replace(/</g,'<').replace(/>/g,'>').replace(/"/g,'\"').replace(/'/g,\"'\").replace(/&/g,'&');\nreturn $input.all().map(item=>{\n const d=item.json;\n let subj=(d.email_subject||'').replace(/[\\u{1F000}-\\u{1FFFF}\\u{2600}-\\u{27BF}\\u{2190}-\\u{21FF}\\u{2B00}-\\u{2BFF}]/gu,'').trim();\n let body=d.email_body||'';\n // 1) fix double-escaped HTML so tags render instead of showing as text\n if(/<|>|&lt;/.test(body)) body=unesc(unesc(body));\n // 2) resolve name placeholders with the REAL contact first name (fallback \"there\")\n const fn=(d.founder_name||'').trim().replace(/^(dr|mr|mrs|ms|prof|shri|smt)\\.?\\s+/i,'');\n const first=(fn && /^[A-Za-z][A-Za-z.'’-]+$/.test(fn.split(/\\s+/)[0])) ? fn.split(/\\s+/)[0] : '';\n body=body.replace(NAME_PH, first||'there');\n subj=subj.replace(NAME_PH, first||(d.company||'')).trim();\n // 2b) personalize greeting: generic Hello/Hi/Dear -> \"Hi ,\" when a real name exists\n if(first){\n const wrapped=/^(\\s*

\\s*)(hello|hi|hey|dear)\\b[^<]*?(\\s*<\\/p>)/i;\n const plain=/^(\\s*)(hello|hi|hey|dear)\\b[^\\n,!<]*[,!]/i;\n if(wrapped.test(body)) body=body.replace(wrapped, `$1Hi ${first},$3`);\n else if(plain.test(body)) body=body.replace(plain, `$1Hi ${first},`);\n }\n\n body = splitSentences(body);\n // 3b) canonical signature: strip whatever signoff the model wrote, append the real block\n body = stripOldSig(body) + MERAKU_SIG;\n // 3a) never let an em/en dash through\n body = body.replace(/\\s*[\\u2014\\u2013]\\s*/g, ', ');\n subj = subj.replace(/\\s*[\\u2014\\u2013]\\s*/g, ', ');\n // 3) checks (after auto-fix)\n const txt=(body||'').replace(/<[^>]+>/g,' ').replace(/\\s+/g,' ').trim();\n const issues=[];\n if(ANY_PH.test(subj+' '+body)) issues.push('unresolved placeholder');\n if(/\"body_html\"\\s*:|^\\s*\\{/.test(txt)) issues.push('raw JSON leaked');\n if(/\\baurum\\b|\\bgracias\\b/i.test(body)) issues.push('names a past client (ClientA/ClientB)');\n if(!/meraku/i.test(body)||!/manvendra/i.test(body)) issues.push('missing signature');\n if(!subj) issues.push('empty subject');\n if(subj.length>90) issues.push('subject too long');\n const words = txt ? txt.split(' ').filter(Boolean).length : 0;\n if(words < 70) issues.push('body too short');\n if(words > 190) issues.push('body too long');\n if(/<|>/.test(body)) issues.push('escaped HTML remains');\n if(!/send it|reply|15|call/i.test(txt)) issues.push('no call-to-action');\n const ps=body.match(/

([\\s\\S]*?)<\\/p>/g)||[];\n const opener=(ps[1]||'').replace(/<[^>]+>/g,' ').replace(/\\s+/g,' ').trim();\n const ow=opener?opener.split(' ').filter(Boolean).length:0;\n if(ow>24) issues.push('opener too long ('+ow+'w)');\n if(/\\b(may|might|potentially)\\b|as much as/i.test(opener)) issues.push('hedgy opener');\n const gate_pass = issues.length===0;\n return {json:{...d, email_subject:subj, email_body:body, gate_pass, gate_issues:issues.join('; '), gate_checked:true}};\n});\n" }, "id": "ew_gate", "name": "Hard Gate", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3776, 168 ] }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "g1", "leftValue": "={{ $json.gate_pass }}", "rightValue": "", "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ] }, "options": {} }, "id": "ew_gate_if", "name": "Gate Pass?", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 4000, 48 ] }, { "parameters": { "jsCode": "return $input.all().map(item=>{const d=item.json;\nconst prompt=`Fix this cold email to ${d.company}. It FAILED a mechanical quality gate for: ${d.gate_issues||'quality issues'}.\nRepair ONLY what was flagged; keep the email's observation, angle and voice. Do NOT make it longer or more formal.\nREQUIREMENTS: greeting from name \"${String(d.founder_name||'').replace(/^(dr|mr|mrs|ms|prof|shri|smt)\\.?\\s+/i,'')}\" (real first name -> \"Hi ,\"; else \"Hello,\"; never placeholders); 100-140 words; short plain sentences; no bullet lists; an about-me line (Manvendra Singh, runs a growth agency for premium high-ticket service businesses) plus ONE proof sentence; simple question CTA; no emojis; never name a past client (no ClientA/ClientB); one

per paragraph, no escaped HTML; end with

Warm regards,
Manvendra

and nothing after; subject under 50 chars.\nCurrent subject: ${d.email_subject}\nCurrent body: ${d.email_body}\nNever use an em dash or en dash; commas or periods only. The CTA must ask for a short call.\nReturn ONLY JSON: {\"subject\":\"...\",\"body_html\":\"...\"}`;\nreturn {json:{...d,prompt,gate_attempts:(d.gate_attempts||0)+1}};});" }, "id": "ew_grw_prompt", "name": "Build Gate-Rewrite Prompt", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4448, 96 ] }, { "parameters": { "method": "POST", "url": "https://moviesbar1-resource.openai.azure.com/openai/v1/chat/completions", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ {\"model\":\"gpt-5.4-2\",\"messages\":[{\"role\":\"user\",\"content\":$json.prompt}],\"max_completion_tokens\":4096} }}", "options": { "batching": { "batch": { "batchSize": 1, "batchInterval": 2000 } }, "timeout": 280000 } }, "id": "ew_grw_kimi", "name": "GPT — Gate Rewrite", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 4672, 96 ], "retryOnFail": true, "maxTries": 2, "waitBetweenTries": 3000, "onError": "continueRegularOutput" }, { "parameters": { "jsCode": "const splitSentences=(html)=>String(html||'').replace(/]*)>([\\s\\S]*?)<\\/p>/gi,(m,attrs,inner)=>{\n if(/<(table|img|ul|ol|br)/i.test(inner)) return m;\n const parts=inner.split(/(?<=[.?!])\\s+(?=[A-Z0-9\"'])/g).map(s=>s.trim()).filter(Boolean);\n if(parts.length<2) return m;\n return parts.map(s=>''+s+'

').join('');\n});\nconst MERAKU_SIG='

Warm regards,

'\n +''\n +''\n +'
\"Manvendra'\n +'
Manvendra Singh
'\n +'
Founder, Meraku Media
'\n +'
[YOUR PHONE NUMBER]
'\n +'
';\nconst stripOldSig=(b)=>String(b||'')\n .replace(/]*>\\s*(warm\\s+regards|best\\s+regards|kind\\s+regards|regards|best|thanks|thank\\s+you|cheers)[\\s\\S]{0,500}?manvendra[\\s\\S]*$/i,'')\n .replace(/(warm\\s+regards|best\\s+regards|kind\\s+regards|thanks|thank\\s+you|cheers)[,!]?[\\s\\S]{0,500}?manvendra[\\s\\S]*$/i,'')\n .trim();\n\nconst src=$('Build Gate-Rewrite Prompt').item.json;\nlet c=$json.choices?.[0]?.message?.content||'{}';\nconst f=c.match(/```(?:json)?\\s*([\\s\\S]*?)```/);if(f)c=f[1].trim();\nlet p={};try{p=JSON.parse(c);}catch(e){}\nconst NAME_PH=/\\{\\{?\\s*(first[_ ]?name|name|firstname|fname)\\s*\\}?\\}|\\[\\s*(first[_ ]?name|name|firstname|company)\\s*\\]/gi;\nconst unesc=s=>(s||'').replace(/</g,'<').replace(/>/g,'>').replace(/"/g,'\"').replace(/'/g,\"'\").replace(/&/g,'&');\nlet subj=(p.subject||src.email_subject||'').replace(/[\\u{1F000}-\\u{1FFFF}\\u{2600}-\\u{27BF}\\u{2190}-\\u{21FF}\\u{2B00}-\\u{2BFF}]/gu,'').trim();\nlet body=p.body_html||p.body||src.email_body||'';\nif(/<|>/.test(body)) body=unesc(unesc(body));\nconst fn=(src.founder_name||'').trim().replace(/^(dr|mr|mrs|ms|prof|shri|smt)\\.?\\s+/i,'');\nconst first=(fn && /^[A-Za-z][A-Za-z.'’-]+$/.test(fn.split(/\\s+/)[0]))?fn.split(/\\s+/)[0]:'';\nbody=body.replace(NAME_PH, first||'there');\nsubj=subj.replace(NAME_PH, first||(src.company||'')).trim();\n// final safety: never let a placeholder through\nbody=body.replace(/\\{\\{[^}]*\\}\\}/g, first||'there');\n body = body.replace(/\\s*[\\u2014\\u2013]\\s*/g, ', ');\n subj = subj.replace(/\\s*[\\u2014\\u2013]\\s*/g, ', ');\nbody = splitSentences(body);\nbody = stripOldSig(body) + MERAKU_SIG;\nreturn {json:{...src, email_subject:subj, email_body:body, gate_pass:true, gate_issues:'', gate_rewritten:true}};\n" }, "id": "ew_grw_parse", "name": "Parse Gate-Rewrite", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4896, 264 ] }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "typeValidation": "loose", "version": 2 }, "conditions": [ { "id": "r1", "leftValue": "={{ $json.score }}", "rightValue": 7, "operator": { "type": "number", "operation": "gte" } } ], "combinator": "and" }, "options": {} }, "id": "ew_rescore_if", "name": "Re-Score > 8?", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 3552, 504 ] }, { "parameters": { "operation": "update", "tableId": "prospects", "filters": { "conditions": [ { "keyName": "id", "condition": "eq", "keyValue": "={{ $json.id }}" } ] }, "fieldsUi": { "fieldValues": [ { "fieldId": "status", "fieldValue": "low_score" } ] } }, "id": "ew_park", "name": "Park Low-Score", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 4448, 288 ], "onError": "continueRegularOutput" }, { "parameters": { "operation": "getAll", "tableId": "outreach_log", "returnAll": true }, "id": "ew_fetch_pending", "name": "Fetch Pending Prospect IDs", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ -256, 672 ], "executeOnce": true, "alwaysOutputData": true, "onError": "continueRegularOutput" }, { "parameters": { "options": {} }, "id": "a3_loop", "name": "Loop One-by-One", "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 192, 672 ] }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "loose" }, "conditions": [ { "id": "ra1", "leftValue": "={{ $json.gate_attempts || 0 }}", "rightValue": 1, "operator": { "type": "number", "operation": "gte" } } ], "combinator": "and" }, "options": {} }, "id": "a3_rewrite_attempted", "name": "Rewrite Attempted?", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 4224, 144 ] }, { "parameters": { "method": "POST", "url": "https://moviesbar1-resource.openai.azure.com/openai/v1/chat/completions", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ {\"model\":\"gpt-5.4-2\",\"messages\":[{\"role\":\"user\",\"content\":$json.prompt}],\"max_completion_tokens\":4096} }}", "options": { "batching": { "batch": { "batchSize": 1, "batchInterval": 2000 } }, "timeout": 280000 } }, "id": "a3_kimi", "name": "Azure — Write Email", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 864, 240 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 5000 }, { "name": "Draft Run Report", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 392, 472 ], "parameters": { "jsCode": "const drafted=(()=>{try{return $('Airtable — Create Log').all().filter(i=>i.json&&!i.json._none).length;}catch(e){return 0;}})();\nconst parked=(()=>{try{return $('Park Low-Score').all().length;}catch(e){return 0;}})();\nconst sd=$getWorkflowStaticData('global');\nconst last=Number(sd.lastZeroDraftAlert||0);\nconst need=(drafted===0 && parked>=3) && (Date.now()-last)>20*3600*1000;\nif(need) sd.lastZeroDraftAlert=Date.now();\nreturn [{json:{drafted, parked, _send_alert:need}}];" }, "id": "4d20d258-ddc1-437a-9f3d-646165464bcc" }, { "name": "Zero Drafts?", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ 572, 472 ], "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict" }, "conditions": [ { "id": "zd", "leftValue": "={{ $json._send_alert === true }}", "rightValue": true, "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "id": "e0e9d7ae-415c-476b-97e4-ad48be017427" }, { "name": "Gmail — Zero Drafts Alert", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 752, 472 ], "onError": "continueRegularOutput", "parameters": { "sendTo": "you@yourdomain.com", "subject": "[ALERT] Agent 3 drafted ZERO emails this run", "message": "={{ '

Agent 3 processed prospects but drafted nothing.

Parked: '+$json.parked+' | Drafted: 0

The writer/scorer pair likely needs attention. Ask Claude to investigate the latest Agent 3 execution.

' }}", "options": { "appendAttribution": false } }, "id": "873d7e33-2004-4e91-a3f8-2636f7ecb420" } ], "connections": { "Manual Trigger": { "main": [ [ { "node": "Fetch Enriched Prospects", "type": "main", "index": 0 } ] ] }, "Fetch Enriched Prospects": { "main": [ [ { "node": "Fetch Pending Prospect IDs", "type": "main", "index": 0 } ] ] }, "Normalize Prospects": { "main": [ [ { "node": "Build Combined Prompt", "type": "main", "index": 0 } ] ] }, "Build Combined Prompt": { "main": [ [ { "node": "Azure — Write Email", "type": "main", "index": 0 } ] ] }, "Parse Email + Pain Points": { "main": [ [ { "node": "Build Score Prompt", "type": "main", "index": 0 } ] ] }, "Build Score Prompt": { "main": [ [ { "node": "GPT — Score #1", "type": "main", "index": 0 } ] ] }, "GPT — Score #1": { "main": [ [ { "node": "Parse Score #1", "type": "main", "index": 0 } ] ] }, "Parse Score #1": { "main": [ [ { "node": "Score > 8?", "type": "main", "index": 0 } ] ] }, "Build Retry Prompt": { "main": [ [ { "node": "GPT — Retry Email", "type": "main", "index": 0 } ] ] }, "GPT — Retry Email": { "main": [ [ { "node": "Parse Retry Email", "type": "main", "index": 0 } ] ] }, "Parse Retry Email": { "main": [ [ { "node": "Build Re-Score Prompt", "type": "main", "index": 0 } ] ] }, "Build Re-Score Prompt": { "main": [ [ { "node": "GPT — Re-Score #2", "type": "main", "index": 0 } ] ] }, "GPT — Re-Score #2": { "main": [ [ { "node": "Parse Re-Score #2", "type": "main", "index": 0 } ] ] }, "Parse Re-Score #2": { "main": [ [ { "node": "Re-Score > 8?", "type": "main", "index": 0 } ] ] }, "Airtable — Create Log": { "main": [ [ { "node": "Airtable — Status: approval_sent", "type": "main", "index": 0 } ] ] }, "Dedup Guard": { "main": [ [ { "node": "Loop One-by-One", "type": "main", "index": 0 } ] ] }, "Hard Gate": { "main": [ [ { "node": "Gate Pass?", "type": "main", "index": 0 } ] ] }, "Gate Pass?": { "main": [ [ { "node": "Airtable — Create Log", "type": "main", "index": 0 } ], [ { "node": "Rewrite Attempted?", "type": "main", "index": 0 } ] ] }, "Build Gate-Rewrite Prompt": { "main": [ [ { "node": "GPT — Gate Rewrite", "type": "main", "index": 0 } ] ] }, "GPT — Gate Rewrite": { "main": [ [ { "node": "Parse Gate-Rewrite", "type": "main", "index": 0 } ] ] }, "Parse Gate-Rewrite": { "main": [ [ { "node": "Hard Gate", "type": "main", "index": 0 } ] ] }, "Score > 8?": { "main": [ [ { "node": "Hard Gate", "type": "main", "index": 0 } ], [ { "node": "Build Retry Prompt", "type": "main", "index": 0 } ] ] }, "Re-Score > 8?": { "main": [ [ { "node": "Hard Gate", "type": "main", "index": 0 } ], [ { "node": "Park Low-Score", "type": "main", "index": 0 } ] ] }, "Park Low-Score": { "main": [ [ { "node": "Loop One-by-One", "type": "main", "index": 0 } ] ] }, "Twice Daily — 8:30 AM & 6 PM IST": { "main": [ [ { "node": "Fetch Enriched Prospects", "type": "main", "index": 0 } ] ] }, "Fetch Pending Prospect IDs": { "main": [ [ { "node": "Dedup Guard", "type": "main", "index": 0 } ] ] }, "Loop One-by-One": { "main": [ [ { "node": "Draft Run Report", "type": "main", "index": 0 } ], [ { "node": "Normalize Prospects", "type": "main", "index": 0 } ] ] }, "Airtable — Status: approval_sent": { "main": [ [ { "node": "Loop One-by-One", "type": "main", "index": 0 } ] ] }, "Rewrite Attempted?": { "main": [ [ { "node": "Park Low-Score", "type": "main", "index": 0 } ], [ { "node": "Build Gate-Rewrite Prompt", "type": "main", "index": 0 } ] ] }, "Azure — Write Email": { "main": [ [ { "node": "Parse Email + Pain Points", "type": "main", "index": 0 } ] ] }, "Draft Run Report": { "main": [ [ { "node": "Zero Drafts?", "type": "main", "index": 0 } ] ] }, "Zero Drafts?": { "main": [ [ { "node": "Gmail — Zero Drafts Alert", "type": "main", "index": 0 } ], [] ] } }, "settings": { "executionOrder": "v1", "callerPolicy": "workflowsFromSameOwner", "availableInMCP": false, "binaryMode": "separate" } }