AI by Hand ✍️

“AI by Hand ✍️” delves into the intricacies of building AI applications with a focus on memory, context, and persistence. The document explores the importance of short-term memory in AI applications, specifically in maintaining conversation history for seamless interactions. It highlights the role of tools like Langchain in enabling AI agents to continue conversations from where they left off, enhancing user experience. Additionally, the document discusses the significance of leveraging databases like PostgreSQL for storing conversation details and managing context effectively. Overall, “AI by Hand ✍️” provides insights into the practical implementation of AI technologies for enhanced user engagement and functionality.