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The Future of AI Agents is Sandboxed

Dec 19, 2025
58 mins

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Episode Description

Jonathan Wall is the CEO at Runloop.ai, working on enterprise-grade infrastructure and execution environments for AI coding agents.


The Future of AI Agents is Sandboxed // MLOps Podcast #353 with Jonathan Wall, CEO at Runloop.ai.


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Shoutout to  @runloop-ai  for powering this MLOps Podcast episode.


// Abstract

Everyone’s arguing about agents. Jonathan Wall says the real fight is about sandboxes, isolation, and why most “agent platforms” are doing it wrong.


// Bio

Jon was the techlead of Google File System, a founding engineer at Google Wallet, and then the founder of Inde, which was acquired by Stripe. He is building Runloop.ai to bridge the production gap for AI Agents by building a one-stop sandbox infrastructure for building, deploying, and refining agents.


// Related Links

Website: runloop.ai

Blogs and content at https://www.runloop.ai/


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Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Jon on LinkedIn: /jonathantwall/


Timestamps:

[00:00] GitHubification of workflows

[00:29] Sandbox definitions explained

[04:47] Agent setup explanation

[08:03] Sandbox vs API agent

[13:51] Resource usage in sandbox

[22:50] Agent evaluation setup

[28:08] Failure cases value

[31:06] Sandbox isolation vs multi-tenancy

[36:14] Frameworks vs Harnesses

[39:02] Langraph vs Harness comparison

[43:22] Agent flexibility and verification

[52:51] Training data focus

[57:10] Wrap up

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