Web agents are specialized computer programs designed to automatically explore and interact with the internet, automating tasks that normally require human interaction such as browsing web pages, collecting data, and making decisions based on the information they find. They use large language models (LLMs) to reason about the information they collect, make more complex decisions, and even converse with users. LLMs comprehend and reorganize raw textual information into structured formats, enabling efficient information retrieval and analysis. The interaction between web agents and LLMs is dynamic, allowing for real-time data ingestion and processing. This synergy enables the efficient extraction, interpretation, and utilization of real-time web data, providing organizations with actionable insights and a competitive edge. Web agents can be built using a step-by-step architecture guide that combines visual understanding with text processing, mimicking human web browsing behavior and making decisions based on what it actually "sees". Encord is a comprehensive data development platform designed to seamlessly integrate into existing workflows, enhancing the efficiency and effectiveness of training data preparation for web agents and LLMs. By embracing these solutions, organizations can harness the full power of AI, driving innovation and maintaining a competitive advantage in the rapidly evolving digital landscape.