How To Delegate To An Agent Like You Would An Employee?

OpenAI's Codex developer experience lead sits down with a former comedian turned ML engineering lead for a conversation about what happens when computer use agents stop being a novelty and start actually running your day.

The conversation moves through building an AI-powered morning brief that reads every email, Slack message, and tweet before you've even opened your laptop, letting pinned threads check in on themselves every 30 minutes, and a skills system built to mirror how a person actually writes and reviews code. There's a close look at the guardrails and permission layers that keep an autonomous agent from pushing to the wrong repo or replying to the wrong tweet, how a codebase merging thousands of pull requests a day survives thanks to self-healing review before anything hits CI, and the idea of AI deference - when an agent should push through a task alone versus stop and ask for help.

The back half gets personal: why developing taste and vocabulary now matters more than working harder, what it actually takes to delegate to an agent the way you'd onboard a new employee, and why this might be the year voice-orchestrated computer use finally makes everyone feel like they're talking to Jarvis.

OpenAI: https://openai.com

Monaco: https://www.monaco.com

Jason Liu: https://www.linkedin.com/in/jxnlco

Mihail Eric: https://www.linkedin.com/in/mihaileric

Demetrios: https://www.linkedin.com/in/dpbrinkm

Timestamps:

[00:00] Intro and guest backgrounds

[01:36] Why computer use beats plain API calls

[09:11] Building an AI-powered morning brief

[10:17] Self-monitoring threads that check in on their own

[18:26] How OpenAI reviews thousands of PRs a day

[19:42] Self-healing pull requests before CI even runs

[23:07] Building review skills from teammates' habits

[30:52] Why hard work stops being the differentiator

[35:03] Introducing the idea of AI deference

[42:44] Learning to delegate like hiring your first assistant

[46:22] Why voice beats typing for giving agents context

[50:56] The Tony Stark Jarvis analogy for this year