Tradestack, a UK-based startup, aims to enhance efficiency in trades businesses by addressing the time-consuming nature of back-office tasks, particularly the creation of project quotes. They developed an AI-powered assistant using LangGraph Cloud, which significantly reduces the time taken to generate quotes for construction and real estate projects from several hours to under 15 minutes. By leveraging WhatsApp as the primary interface due to its widespread use, especially among non-tech-savvy users, Tradestack managed to process diverse inputs such as voice, text, and images to produce personalized and accurate client quotes. Their Minimum Viable Product (MVP) was built and deployed within six weeks, demonstrating improved performance through rapid iteration and multimodal inputs. Utilizing LangGraph's framework, Tradestack focused on creating a reliable and flexible cognitive architecture, which allowed them to experiment with personalized reasoning and optimize input modalities. LangSmith's tracing and evaluation tools further enabled them to refine their AI agent and ensure high-quality outputs. Tradestack plans to expand its AI solution's capabilities, explore voice agent user experiences, and integrate with additional external tools to continue providing value to its users.