Understanding reasoning models: Smarter AI for complex problems | Box AI Explainer Series EP 6

Reasoning models represent the next step in AI evolution, offering smarter, more thoughtful responses by tackling complex, multi-step problems. While they take a bit more time to deliver answers, the improved quality and reduced errors make them invaluable for critical tasks.

In this episode, Box CTO Ben Kus and Meena Ganesh, Senior Product Marketing Manager of AI at Box, dive into what reasoning models are and how they differ from typical AI systems. They discuss the parallels between these models and human thinking styles (System 1 vs. System 2), explain when it makes sense to use reasoning models versus simpler ones, and highlight why these advanced AI agents matter especially for enterprise applications where quality is paramount.

Key Moments to Listen For:

(0:00 - 2:48 ) Reasoning Models Uncovered: What Are They?
(2:48 - 5:22 ) When to Use — and When to Skip — Reasoning Models
(5:23 - 6:26 ) RAG, Thinking Models & Hallucinations Explained
(6:27 - 7:23) Reasoning Models in a Nutshell: The Ultimate TL;DR