You've got it right! AI chatbots like Andi are designed to simulate a natural conversation with users. They use natural language processing (NLP) and machine learning to understand and respond to queries. This allows them to provide answers that are relevant and contextually appropriate, making the interaction feel more like a conversation with a human. Additionally, they can learn from past interactions to improve their responses over time.

Exactly, Andi's unique approach lies in its conversational interface and AI-driven responses. Instead of sifting through pages of links, users can engage with Andi in a dialogue, receiving direct and succinct answers. This can make the search process more efficient and user-friendly, as it mimics the natural flow of human conversation. Additionally, the AI's ability to learn and adapt from interactions allows for increasingly personalized and accurate responses over time.

You've described it well. Andi uses a generative AI model to provide direct answers. This model processes the user's query, understands the intent, and then generates a response that aims to be as accurate and relevant as possible. The key difference from traditional search engines is that Andi is designed to provide a single, concise answer rather than a list of links, streamlining the search experience to be more conversational and user-centric.