What OpenAI is building for a post-prompt future
From The Deep View: Conversations by The Deep View
September 6, 2026 · 52 min
About this episode
The episode discusses OpenAI's advancements in making AI agents more accessible and useful for everyday tasks.
AI is transitioning from just answering questions to doing valuable work. The next challenge is making agents more accessible and simple enough that the technical details fade into the background. In this episode of The Deep View Conversations, we sit down with two members of OpenAI's ChatGPT Work team, Tara Seshan and Ty Geri, to dig into ChatGPT Work and what OpenAI is doing to make advanced agent capabilities useful to a lot more people. We also dig into some of the current challenges and how the team is approaching them. Seshan and Geri explain how scheduled tasks and proactive assistance are changing the way people start their workdays, why AI lets teams move from debating ideas to testing prototypes, and how personalized software can turn one-off needs into purpose-built tools. They also discuss the challenge of token costs and model selection, why "super app" isn't the most useful framing for ChatGPT and Codex, and what it will take for agents to become more persistent, proactive, and connected. The conversation also covers: • How OpenAI is trying to bridge local and cloud workflows • Why Tara and Ty start their days with agents instead of Slack • Building personal apps…
People in this episode
Guests: Tara Seshan, Ty Geri
Topics covered
- AI development
- agent capabilities
- personalized software
- workflow integration
- proactive assistance
- team collaboration
Keywords
- AI
- OpenAI
- ChatGPT
- agent capabilities
- personalized tools
- workflow
- proactive assistance
- team collaboration
Mentioned in this episode
Organizations: OpenAI
Products: ChatGPT Work, ChatGPT, Codex
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