

Building Agentic Workflows w/ SambaNova
Building agentic systems often involves stitching together orchestration logic, handoffs, and prompts before you can explore real problem-solving.
Join us to explore how you can use CrewAI Studio and SambaNova to design, test, and deploy coordinated AI agents with an intuitive visual interface and powerful foundation models.
Get some hands-on time with creating a team of agents that:
Explore and research products from any category you choose
Evaluate them using criteria you define (e.g., functionality, strengths, differentiators, use cases)
Automatically publish the results into a structured Notion page
🤖Plus: get SambaCloud credits for you to experiment with additional agent capabilities and explore how these workflows can be adapted to your own use cases.
Please bring an internet-facing laptop for this hands-on session.
🗓️ Schedule
1430 – 1500: Registration & Setup
1500 – 1530: Overview - Visual Agent Building with CrewAI Studio + SambaNova
1530 – 1630: Hands-on - Constructing a Multi-Agent Research & Analysis Workflow
👨💻Facilitated by Warren Schilpzand and Karen Tay (SambaNova)
SambaNova (f.2017) is on a mission to give every developer, enterprise, government and data center absolute sovereignty over their own data, models and AI infrastructure with the best performance and efficiency. Their award-winning core technology is the Reconfigurable Dataflow Unit (RDU), which is purpose-built to deliver high performance and efficiency for advanced AI and agentic workloads.
Karen Tay is a Senior Principal Solutions Engineer with SambaNova, primarily serving our customers in the APAC region. Prior to SambaNova, she was a Data Scientist with IBM with expertise in predictive modeling, NLP, and data visualization. She holds a Master of IT in Business (Analytics) from Singapore Management University. With numerous experience in the industry, she helps companies apply machine learning and generative AI to solve business challenges.
Don’t miss out! Limited slots available! Please note that Lorong AI members will be prioritised.