In this article, I will show how to create an AI-driven application. The goal is to create an application, that can integrate with an LLM-API. We want to make an application that can take an internship report as input, and in return receive an assessment of the report as output.
Code agents - AI systems that go beyond answering questions to autonomously build and execute tasks. It explains how they differ from traditional assistants, explores different types of agents, and demonstrates their capabilities by creating and deploying a full meditation quiz app from a single prompt.
RAG (Retrieval Augmented Generation) is an AI technique that improves answers by combining information retrieval from external sources with language model generation. It helps overcome limitations of standard models by providing up-to-date, accurate, and context-specific responses.
This project shows you how to fully automate your chatbot’s knowledge so it never falls behind. Every time you publish new content, your chatbot instantly learns it—no manual updates, no maintenance headaches.
