This workflow streamlines the process of generating dynamic HTML documents based on structured JSON inputs, integrating AI to craft customizable content, and then converting and storing the output as PDF or uploading to cloud storage. Starting with a chat trigger, the setup uses an AI language model (like GPT-4) to produce a JSON-formatted response that fills an HTML template. The HTML is styled with CSS and dynamically populated with project-specific data such as company details, project phases, key milestones, and deliverables. Post-generation, the workflow offers options to convert this HTML into a PDF via the PDF.co API or upload it directly to an AWS S3 bucket for sharing or hosting. This automation is ideal for creating branded reports, project documentation, or marketing materials that can be rapidly customized and distributed, saving time and reducing manual effort.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, awsS3, html, n8n-nodes-pdfco.PDFco Api, stickyNote