Recorded on
with Aishwarya Srinivasan, Arvind Narayanamurthy
Agentic workflows need decisions at every step: which tool to use, what to prioritize, and when to ask for help. Jev lets you turn those questions into structured outputs your code can use. In this session, you'll build a small request-routing workflow and learn how to handle uncertainty before it triggers the next action.
Learn how Jev turns context into choices, scores, and probabilities for agentic workflows.
Use Jev to classify incoming requests, score urgency, and choose where each request goes.
Add a human-review path and test your workflow on clear, ambiguous, and unexpected requests.
Agentic workflows need decisions at every step: which tool to use, what to prioritize, and when to ask for help. Jev lets you turn those questions into structured outputs your code can use. In this session, you'll build a small request-routing workflow and learn how to handle uncertainty before it triggers the next action.
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.
