AI Prototyping: From Prompt to Product
Learn to direct autonomous AI agents to build products — from research to prototypes artificial intelligence evolves from reactive chatbots to autonomous agents, the fundamental skills required to succeed in the modern workforce are shifting.
As AI evolves from reactive chatbots to autonomous agents, the fundamental skills required to succeed in the modern workforce are shifting. This hands-on workshop introduces students to the cutting edge of AI prototyping using Manus. Rather than focusing on underlying machine learning algorithms, this session focuses on the practical application and direction of AI agents. Through interactive demonstrations and live prototyping, students will discover why "Context is Everything" and learn how to become effective Context Engineers. The workshop demystifies agent architecture and culminates in a live, hands-on session where students will prototype real-world web application use cases.
Students will leave the workshop with a foundational understanding of Context Engineering. As AI integrates into every corporate tool and workflow, the ability to clearly define roles, goals, and constraints for AI systems will become as essential as basic computer literacy. This skill is universally transferable, whether a student pursues a career in product management, marketing, finance, or engineering. Working with AI agents requires a shift from a "doer" mindset to a "manager" mindset. By learning how to provide "instruction manuals" (Skills) to agents, students practice the fundamentals of delegation, standard-setting, and strategic oversight—preparing them for leadership tracks much earlier in their career development.
About Isabella Zhou — UCLA Anderson Student
Isabella Zhou is an MBA candidate at UCLA Anderson, Class of 2026, with a background in venture capital and AI product go-to-market. She previously invested in early-stage AI and data companies at Nautilus Venture Partners and most recently worked on GTM and partnerships at Manus(acquired by Meta), an general AI agent platform. She is passionate about making AI accessible to non-technical builders and bridging the gap between ideas and execution.