LinkedIn Post Generator AI Agent

In this project, I built an AI-powered workflow using Relevance AI and large language models (LLMs) to automatically generate professional, LinkedIn-ready posts from the latest developments in any chosen topic/trend such as Artificial Intelligence, Data Science, or Machine Learning. The system performs a live web search, extracts top-ranked article links, scrapes their content, and then synthesizes insights into concise, engaging posts.

The workflow integrates web search, web scraping, and LLM-driven summarization to ensure that the generated content is both timely and relevant. By applying prompt engineering and structured formatting, the posts follow a clear structure: a strong hook, key insights, and a closing CTA, along with relevant hashtags to boost reach.

This project highlights the ability to automate content creation pipelines, transforming unstructured information from the web into ready-to-publish, professional updates. It demonstrates how generative AI and agents can streamline thought leadership, reduce manual effort, and help professionals stay consistent with their digital presence.