El nodo de compartición de documentos para gente que lee el código fuente

Cada lunes un agente de IA escribe el informe semanal, un nodo Code sin dependencias lo convierte en PDF, EveryPage devuelve un enlace rastreado y Slack recibe el enlace - así descubres si alguien leyó lo que produjo el agente. Copia el JSON y pégalo directamente en el lienzo de n8n (Ctrl/Cmd-V), o usa Workflow -> Import from Clipboard.

{
	"name": "AI report → EveryPage tracked link",
	"nodes": [
		{
			"parameters": {
				"content": "## AI report → tracked link\nEvery Monday an AI agent writes the weekly ops report, a Code node renders it to a PDF (no dependencies), and EveryPage turns it into a **tracked share link** — so you know whether anyone actually read what the agent produced.\n\nSwap the Slack step for email, Teams, or your CRM. Add `requireEmail: true` in the EveryPage node's options to gate the report (Pro).",
				"height": 260,
				"width": 420
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000001",
			"name": "Sticky Note",
			"type": "n8n-nodes-base.stickyNote",
			"typeVersion": 1,
			"position": [-220, -180]
		},
		{
			"parameters": {
				"rule": {
					"interval": [{ "field": "weeks", "triggerAtDay": [1], "triggerAtHour": 8 }]
				}
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000002",
			"name": "Every Monday 08:00",
			"type": "n8n-nodes-base.scheduleTrigger",
			"typeVersion": 1.2,
			"position": [-220, 60]
		},
		{
			"parameters": {
				"promptType": "define",
				"text": "Write this week's operations report for the team: a short executive summary, then sections for shipped work, metrics, risks, and next week's focus. Plain text, no markdown syntax. Around 500 words.",
				"options": {}
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000003",
			"name": "AI Agent",
			"type": "@n8n/n8n-nodes-langchain.agent",
			"typeVersion": 1.7,
			"position": [0, 60]
		},
		{
			"parameters": {
				"model": { "__rl": true, "value": "gpt-4.1-mini", "mode": "list" },
				"options": {}
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000004",
			"name": "OpenAI Chat Model",
			"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
			"typeVersion": 1.2,
			"position": [0, 260]
		},
		{
			"parameters": {
				"mode": "runOnceForAllItems",
				"jsCode": "// Render plain text to a minimal, valid, multi-page PDF - no dependencies.\nconst esc = (s) => s.replace(/\\\\/g, '\\\\\\\\').replace(/\\(/g, '\\\\(').replace(/\\)/g, '\\\\)');\nconst text = String($input.first().json.output ?? $input.first().json.text ?? 'Empty report');\n\nconst lines = [];\nfor (const raw of text.split('\\n')) {\n  let line = raw.replace(/[^\\x20-\\x7e]/g, '');\n  if (line === '') { lines.push(''); continue; }\n  while (line.length > 92) { lines.push(line.slice(0, 92)); line = line.slice(92); }\n  lines.push(line);\n}\nconst pages = [];\nfor (let i = 0; i < lines.length; i += 46) pages.push(lines.slice(i, i + 46));\nif (!pages.length) pages.push(['(empty)']);\n\nconst pageCount = pages.length;\nconst fontObj = 3 + pageCount * 2;\nconst objects = [];\nobjects[1] = '<< /Type /Catalog /Pages 2 0 R >>';\nobjects[2] = `<< /Type /Pages /Kids [${pages.map((_, p) => `${3 + p * 2} 0 R`).join(' ')}] /Count ${pageCount} >>`;\npages.forEach((pg, p) => {\n  const contentObj = 4 + p * 2;\n  objects[3 + p * 2] = `<< /Type /Page /Parent 2 0 R /MediaBox [0 0 595 842] /Resources << /Font << /F1 ${fontObj} 0 R >> >> /Contents ${contentObj} 0 R >>`;\n  let stream = 'BT /F1 11 Tf 56 780 Td 16 TL\\n';\n  for (const line of pg) stream += `(${esc(line)}) Tj T*\\n`;\n  stream += 'ET';\n  objects[contentObj] = `<< /Length ${stream.length} >>\\nstream\\n${stream}\\nendstream`;\n});\nobjects[fontObj] = '<< /Type /Font /Subtype /Type1 /BaseFont /Helvetica >>';\n\nlet pdf = '%PDF-1.4\\n';\nconst offsets = [];\nfor (let n = 1; n <= fontObj; n++) {\n  offsets[n] = pdf.length;\n  pdf += `${n} 0 obj\\n${objects[n]}\\nendobj\\n`;\n}\nconst xref = pdf.length;\npdf += `xref\\n0 ${fontObj + 1}\\n0000000000 65535 f \\n`;\nfor (let n = 1; n <= fontObj; n++) pdf += `${String(offsets[n]).padStart(10, '0')} 00000 n \\n`;\npdf += `trailer\\n<< /Size ${fontObj + 1} /Root 1 0 R >>\\nstartxref\\n${xref}\\n%%EOF`;\n\nconst fileName = `weekly-report-${new Date().toISOString().slice(0, 10)}.pdf`;\nconst binaryData = await this.helpers.prepareBinaryData(Buffer.from(pdf, 'latin1'), fileName, 'application/pdf');\nreturn [{ json: { fileName }, binary: { data: binaryData } }];"
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000005",
			"name": "Render PDF",
			"type": "n8n-nodes-base.code",
			"typeVersion": 2,
			"position": [280, 60]
		},
		{
			"parameters": {
				"resource": "file",
				"operation": "upload",
				"binaryPropertyName": "data",
				"fileName": "={{ $json.fileName }}",
				"options": {
					"viewerMode": "flipbook",
					"notifyOnView": true,
					"expiryHours": 168
				}
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000006",
			"name": "EveryPage",
			"type": "n8n-nodes-everypage.everyPage",
			"typeVersion": 1,
			"position": [560, 60]
		},
		{
			"parameters": {
				"select": "channel",
				"text": "=📄 This week's report is live: {{ $json.shareUrl }}\nEveryPage will tell us who actually reads it.",
				"otherOptions": {}
			},
			"id": "a1b2c3d4-0000-4000-8000-000000000007",
			"name": "Post link to Slack",
			"type": "n8n-nodes-base.slack",
			"typeVersion": 2.2,
			"position": [840, 60]
		}
	],
	"connections": {
		"Every Monday 08:00": { "main": [[{ "node": "AI Agent", "type": "main", "index": 0 }]] },
		"AI Agent": { "main": [[{ "node": "Render PDF", "type": "main", "index": 0 }]] },
		"OpenAI Chat Model": {
			"ai_languageModel": [[{ "node": "AI Agent", "type": "ai_languageModel", "index": 0 }]]
		},
		"Render PDF": { "main": [[{ "node": "EveryPage", "type": "main", "index": 0 }]] },
		"EveryPage": { "main": [[{ "node": "Post link to Slack", "type": "main", "index": 0 }]] }
	},
	"active": false,
	"settings": { "executionOrder": "v1" },
	"pinData": {}
}

Nota para autoalojados: las herramientas de nodos comunitarios necesitan N8N_COMMUNITY_PACKAGES_ALLOW_TOOL_USAGE=true antes de que los nodos AI Agent puedan llamarlas.