{ "name": "Canva AI Design \u2192 PDF", "nodes": [ { "parameters": {}, "id": "start", "name": "Manual Trigger", "type": "n8n-nodes-base.manualTrigger", "position": [ 240, 300 ], "typeVersion": 1 }, { "parameters": { "operation": "generateDesign", "designType": "presentation", "contentQuery": "=**Presentation Brief**\nTitle: AI-Powered Business Strategy\nTopic: How artificial intelligence is transforming modern business operations\nKey Messages:\n- AI reduces operational costs by 30-40%\n- Machine learning improves decision accuracy\n- Automation frees teams for strategic work\n- Data-driven insights enable competitive advantage\n\n**Narrative Arc**\nStart with the business problem (manual processes, inefficiency), introduce AI as the solution, show real-world success metrics, present implementation roadmap, and close with a clear call to action for digital transformation.\n\n**Slide Plan**\n\nSlide 1 \u2014 \"AI-Powered Business Strategy\"\nGoal: Hook the audience with a bold visual and set expectations\nBullets:\n- Transform your business with intelligent automation\n- Data-driven decisions in real-time\n- Proven ROI across industries\nVisuals: Full-bleed image of futuristic AI dashboard with graphs\nData: Show \"30-40% cost reduction\" as hero stat\nSpeaker Notes: Welcome audience, establish credibility, preview key benefits\nTransition: But first, let's understand the current challenges businesses face\n\nSlide 2 \u2014 \"The Business Challenge\"\nGoal: Establish the problem that AI solves\nBullets:\n- Manual processes consume 60% of employee time\n- Decision delays due to data silos\n- Human error costs $500K-$2M annually\n- Competitive pressure increasing\nVisuals: Split-screen comparison: chaotic manual workflow vs streamlined AI system\nData: Use actual research stats from McKinsey 2024 report\nSpeaker Notes: Reference specific pain points the audience faces\nTransition: This is where AI becomes a game-changer\n\nSlide 3 \u2014 \"How AI Transforms Operations\"\nGoal: Show concrete AI capabilities\nBullets:\n- Process automation (RPA + ML)\n- Predictive analytics for forecasting\n- Natural language processing for customer service\n- Computer vision for quality control\nVisuals: 2\u00d72 matrix showing AI capabilities by business function\nData: Map each bullet to specific ROI percentage\nSpeaker Notes: Provide real customer examples for each capability\nTransition: Let's look at the measurable impact\n\nSlide 4 \u2014 \"Proven Results\"\nGoal: Build credibility with real metrics\nBullets:\n- 35% cost reduction (Company A - Manufacturing)\n- 50% faster decision-making (Company B - Finance)\n- 90% accuracy in predictions (Company C - Retail)\n- 24/7 customer service availability\nVisuals: Clustered bar chart comparing before/after metrics\nData: Use anonymized real client data\nSpeaker Notes: Tell brief success story for each metric\nTransition: Here's your roadmap to achieve similar results\n\nSlide 5 \u2014 \"Implementation Roadmap\"\nGoal: Make AI adoption feel achievable\nBullets:\n- Phase 1 (Months 1-3): Assessment & pilot\n- Phase 2 (Months 4-6): Deployment & training\n- Phase 3 (Months 7-12): Optimization & scaling\n- Ongoing: Continuous improvement\nVisuals: Timeline swimlane diagram with milestones\nData: Show investment per phase and expected ROI timeline\nSpeaker Notes: Address common concerns about complexity and cost\nTransition: Let's take the next step together\n\nSlide 6 \u2014 \"Next Steps\"\nGoal: Clear call to action\nBullets:\n- Schedule a free AI readiness assessment\n- Receive customized ROI projection\n- Join our next implementation workshop\n- Contact: info@yourcompany.com\nVisuals: Clean contact card with QR code\nData: Workshop dates and contact details\nSpeaker Notes: Thank audience, invite questions, provide follow-up resources\nTransition: End with confidence and availability for Q&A" }, "id": "generate", "name": "Generate Design with AI", "type": "n8n-nodes-canva-improved.canvaMcp", "position": [ 440, 300 ], "typeVersion": 1, "credentials": { "canvaMcpApi": { "name": "" } } }, { "parameters": { "values": { "string": [ { "name": "job_id", "value": "={{ $json.content[0].text.split('job_id: ')[1].split('\\n')[0] }}" }, { "name": "candidate_id", "value": "={{ $json.content[0].text.split('candidate_id: ')[1].split('\\n')[0] }}" }, { "name": "preview_url", "value": "={{ $json.content[0].text.split('preview: ')[1].split('\\n')[0] }}" } ] } }, "id": "extract", "name": "Extract IDs", "type": "n8n-nodes-base.set", "position": [ 640, 300 ], "typeVersion": 1, "notes": "Parse the generate-design response to extract job_id and candidate_id" }, { "parameters": { "operation": "createFromCandidate", "jobId": "={{ $json.job_id }}", "candidateId": "={{ $json.candidate_id }}" }, "id": "create", "name": "Create Design from Candidate", "type": "n8n-nodes-canva-improved.canvaMcp", "position": [ 840, 300 ], "typeVersion": 1, "credentials": { "canvaMcpApi": { "name": "" } } }, { "parameters": { "values": { "string": [ { "name": "design_id", "value": "={{ $json.content[0].text.split('design_id: ')[1].split('\\n')[0] }}" } ] } }, "id": "extractDesignId", "name": "Extract Design ID", "type": "n8n-nodes-base.set", "position": [ 1040, 300 ], "typeVersion": 1, "notes": "Extract the design_id from the created design" }, { "parameters": { "operation": "exportDesign", "designId": "={{ $json.design_id }}", "exportFormat": "pdf", "exportQuality": "pro", "paperSize": "a4" }, "id": "export", "name": "Export as PDF", "type": "n8n-nodes-canva-improved.canvaMcp", "position": [ 1240, 300 ], "typeVersion": 1, "credentials": { "canvaMcpApi": { "name": "" } } }, { "parameters": { "values": { "string": [ { "name": "download_url", "value": "={{ $json.content[0].text.split('url: ')[1].split('\\n')[0] }}" }, { "name": "status", "value": "\u2705 PDF generated successfully!" } ] } }, "id": "result", "name": "Final Result", "type": "n8n-nodes-base.set", "position": [ 1440, 300 ], "typeVersion": 1, "notes": "Extract the download URL for the PDF" } ], "connections": { "Manual Trigger": { "main": [ [ { "node": "Generate Design with AI", "type": "main", "index": 0 } ] ] }, "Generate Design with AI": { "main": [ [ { "node": "Extract IDs", "type": "main", "index": 0 } ] ] }, "Extract IDs": { "main": [ [ { "node": "Create Design from Candidate", "type": "main", "index": 0 } ] ] }, "Create Design from Candidate": { "main": [ [ { "node": "Extract Design ID", "type": "main", "index": 0 } ] ] }, "Extract Design ID": { "main": [ [ { "node": "Export as PDF", "type": "main", "index": 0 } ] ] }, "Export as PDF": { "main": [ [ { "node": "Final Result", "type": "main", "index": 0 } ] ] } } }