Automated Perplexity Research to HTML Workflow

This workflow is designed for:

• Content Creators: Individuals or teams who regularly produce articles or blog posts and need a streamlined process to convert research into formatted HTML content.
• Web Developers: Developers who want to automate the generation of HTML pages from markdown or plain text, ensuring responsiveness and modern design with Tailwind CSS.
• Marketers: Professionals looking to quickly generate web content from research topics to enhance their online presence and SEO strategies.
• Educators and Researchers: Those needing to present research findings in a structured, visually appealing format for presentations or publications.

This workflow addresses the challenge of efficiently transforming research topics into well-structured HTML articles. It automates the entire process from gathering information to formatting it into a modern, responsive design, thus saving time and reducing the complexity of manual formatting. Users can quickly convert markdown or plain text into a visually appealing web page, complete with necessary metadata and tailored styling, enhancing the user experience and engagement.

1. Webhook Trigger: The workflow starts when a webhook is triggered, receiving a topic from a GET request.
2. Extract Topic: The topic is extracted from the request and checked for validity.
3. Research Generation: If the topic is valid, the workflow calls the Perplexity Researcher to generate research content related to the topic.
4. Content Structuring: The generated content is parsed and structured into a JSON format, ensuring all necessary fields such as title, metadata, and content are included.
5. HTML Conversion: The structured content is then transformed into a single-line HTML document, utilizing Tailwind CSS for styling, ensuring responsiveness and modern design.
6. Response Handling: The resulting HTML and metadata are prepared for response, either sending the formatted content back via the webhook or notifying users through Telegram.