Perplexity Research Assistant | Create Specialized HTML Research Reports

Perplexity Research Assistant | Create Specialized HTML Research Reports Overview This workflow automates the creation of comprehensive, beautifully styled HTML research reports from a single topic. It acts as an advanced research assistant that accepts a topic via a webhook, uses a multi-step AI pipeline to research, structure, write, and style the content, and finally returns a complete, single-line HTML file. The automation uses n8n to coordinate a series of API calls and data transformations. It uses OpenAI's GPT-4o-mini for multiple intelligent tasks and connects to Perplexity AI as its core research engine. The final output is styled using Tailwind CSS, creating a modern, responsive web report. This workflow provides immense value by transforming a simple, high-level task—"research a topic"—into a fully-realized, presentable final product, automating the entire process from query to polished publication. How the AI Integrates This workflow is a powerful example of a multi-agent AI pipeline, where different AI models and prompts are chained together, each performing a specialized task to build upon the previous step's output. 1. AI-Powered Prompt Engineering: The first AI step doesn't perform the research itself but instead _improves the user's initial topic_. It reframes a simple query into a detailed, structured prompt, ensuring the subsequent research is more thorough and targeted. 2. AI Research Agent: An AI agent is tasked with conducting the primary research. It utilizes a custom tool that calls the Perplexity API, effectively acting as an autonomous researcher that gathers the raw information. 3. AI-Powered Data Structuring: The raw, unstructured text from the research step is passed to another AI model. This model acts as a data analyst, parsing the text and structuring it into a clean, predictable JSON format, complete with a title, metadata, distinct content sections, and hashtags. This is a critical step that turns chaotic text into usable data. 4.