We're working closely with customers to bring simple yet inspiring features to the Voiceflow platform that leverage our understanding of voice conversations, focusing on a highly active segment who's passionate about the platform and willing to become beta users. We're using rapid prototyping to develop capabilities quickly on both UX and technical sides, and have built tools outside our core application to decouple from the application team and get results faster. Our ML CLI allows developers and data scientists to create isolated end-to-end Machine Learning environments quickly, while MLEnvs provide a set of terraform templates for generating models and environments in 15 minutes. We're building a Real Time Platform with an event-driven architecture using sockets, and separate model development and deployment to focus on building a V1 of the platform. We're leveraging open source tooling and contributing to it, hiring for three core technical skills: data science in our core competency areas, data engineering, and cloud/platform engineering. Our goal is to work closely with customers, build a world-class ML platform that can scale to millions of users, and contribute to the ML community through articles, talks, and open source projects.