Jennifer Reif
Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.
Montreal 2027 sessions
Human-in/on-the-Loop: Deciding Where AI Should Drive
English session - Beginner
Human-in-the-loop might be the easy answer, but a better model is where people set direction, agents execute, and review at key checkpoints. The real skill is deciding where a human has to own the call. This session works through that using a personal night-sky viewing planner application and weighing where AI should or shouldn't take the wheel. Attendees will leave with skills to decide where AI should drive and where it should ride along.
One Tool Doesn't Make an Agent: Building Agentic Workflows
English session - Beginner
Everyone seems to be building agentic AI systems with multi-step workflows, autonomous decision-making, and agentic processes. So what does that actually look like in practice? In this session, we will build a real agentic Java application, walking through how it works and when agents need external help. Come see what it actually takes to move from a single tool call to a genuine agentic workflow for your own Java projects.
Montreal 2022 sessions
- Cypher Sleuthing: Tips and Tricks for Querying a Graph
- Pouring Coffee into the Matrix - Java Applications on Neo4j
