An overview of key tools and features in the Responses API. Covers core capabilities, configuration options, and how builders can leverage the API to create dynamic interactions. Best for builders getting oriented to the platform before applying advanced patterns.

Clinical Mind AI is a Stanford-origin platform and research program led by Marcos Rojas Pino that trains clinical reasoning through realistic, decision-based simulations delivered by text and real-time voice. Built on OpenAI’s API and developed from an early laptop prototype into a full platform, it lets instructors author cases and gives learners a telehealth-style interface with an electronic health record for documenting histories, reviewing images, and ordering tests. The system targets two core gaps that separate novices from experts: asking effective questions to gather data and recognizing which findings matter for diagnosis, treatment, referral, and disposition decisions.

Discover how to leverage the OpenAI API to automatically generate comprehensive Knowledge Graphs from text documents. The session breaks down a powerful yet accessible process that significantly enhances RAG (Retrieval-Augmented Generation) capabilities beyond traditional Vector-based approaches. You'll learn how Knowledge Graphs create contextual connections between information, resulting in more accurate, nuanced AI responses and deeper insights from your data. Perfect for developers and AI practitioners looking to advance their document processing capabilities. DeepStation accelerates AI education and innovation through the power of community, empowering engineers, business professionals, and enthusiasts to thrive in the AI wave. The global community teaches AI, connects local talent with industry, and facilitates economic development through expert-led presentations, hands-on workshops, and regional industry summits. The community has established chapters in Miami, Brazil, and is expanding to new regions worldwide.