Person profile
Co-founder & CEO at Box.
Tools Aaron Levie has publicly discussed or demonstrated using. Curated by Magpie's editorial team from podcasts, posts, and public stacks.
Aaron Levie is co-founder and CEO of Box, the cloud content platform. He's one of the most prolific specific-tool posters of any enterprise CEO on X, regularly naming the AI products he uses personally and integrates with Box.
Levie uses Claude directly for coding-adjacent prototyping work as part of his everyday CEO toolkit. In an Every podcast interview about Box becoming an AI-first company, he said building today 'would be totally impossible without Claude Code and Cursor CLI and all those kinds of things'. He pairs Claude with the OpenAI and Google frontier models in his public benchmarks rather than treating any one model as the canonical choice.
Levie called ChatGPT's December 2022 launch 'one of those rare moments in technology where you see a glimmer of how everything is going to be different going forward'. He's continued using ChatGPT for research tasks alongside Grok, Perplexity and Gemini, and posts examples of prompt techniques that translate into Box's enterprise AI workflows.
Levie uses Perplexity in his research-task rotation alongside ChatGPT, Grok and Gemini. He frames it as the cited-source answer engine option in a CEO's daily research workflow, particularly for industry analysis relevant to Box's enterprise customers and competitive landscape work.
Levie uses Cursor in his prototyping rotation and called it part of the canonical coding-agent architecture in a recent X post grouping Claude Code, Devin, Codex, Factory, Cursor and Replit. In the Every interview about Box's AI-first strategy he singled out Cursor's CLI alongside Claude Code as table-stakes infrastructure for shipping today. He frames Cursor as a sibling of Claude Code in the coding-agent stack rather than a competitor.
Levie uses Gemini in his research-task rotation and benchmarks it against ChatGPT, Grok and Perplexity in his public stack discussions. He highlights long-context document analysis as a particular Gemini strength relevant to Box's content-platform use cases, and treats it as one of three or four default frontier-model choices for executive-level workflows.
Last researched May 10, 2026
Editorial note
These tools have been mentioned by the people featured in podcasts, interviews, posts, and other public media. Source links and citations are included wherever possible. Magpie AI has no direct relationship with the people on these pages. Spot a missing tool or a wrong attribution? Suggest a correction →
Photo: Wikipedia