Building Agentic AI Workflows with W&B Weave - A Hiring Assistant Case Study

Learn to construct, evaluate, and monitor agentic AI workflows using W&B Weave through a comprehensive 45-minute demonstration focused on developing a Hiring Assistant that evaluates candidate applications for interview suitability. Follow along as Karan and Nico guide you through advanced tracing techniques for agentic workflows, including implementation of hallucination guardrails through self-reflection and human-in-the-loop interactions for decision reasoning validation. Master in-depth evaluation methodologies using both quantitative and qualitative scoring systems based on deterministic scorers and LLM judges. Explore the practical application of AI agent tracing, debugging capabilities through the Weave Playground, and comprehensive evaluation frameworks that include quantitative benchmarking and qualitative output review. Discover how to implement human-in-the-loop expert annotation systems and understand the considerations for building end-to-end hiring agents in compliance with EU AI Act regulations. Access the complete public project, full source code, and EU AI Act whitepaper to extend your learning beyond the demonstration and apply these techniques to your own agentic AI workflow projects.