ChatGPT Sites for Work, Music and Games

OpenAI’s Kath Korevec demonstrates connected sites and personal projects.

KKKath Korevec게스트 · Google Labs
채널
How I AI
게시일
2026년 10월 5일
영상
35:41
읽기
2분
원문
영어
YouTube에서 열기
스크롤하면 영상이 오른쪽 아래로 작아져 계속 재생됩니다. 자막은 읽기 언어를 따릅니다.
읽기 언어2개 언어로 읽을 수 있음
이 글은 아직 한국어 번역이 없어 영어 원문으로 표시합니다.
요약

30초 요약

Kath Korevec shows Claire Vo an incident dashboard, a music discovery site, games and an experimental widget. She works on Sites, and the discussion distinguishes a live demo problem from finished capabilities.

  1. 1Incident overviewThe incident overview combines team information in a demo.
  2. 2Connected dataVisitors can use their own connections subject to access.
  3. 3SourcesThe guest uses common work connectors for personalized views.
  4. 4InfrastructureSites can host software and, as described, MCP plugins.
  5. 5Music discoveryA music site combines personal instructions and outside sources.
  6. 6GamesReusable skills support collaborative game experiments.
  7. 7Experimental widgetThe inference widget is experimental and its live demo encountered a problem.

핵심 정리

  1. The incident overview combines team information in a demo.
  2. Visitors can use their own connections subject to access.
  3. The guest uses common work connectors for personalized views.
  4. Sites can host software and, as described, MCP plugins.
  5. A music site combines personal instructions and outside sources.
  6. Reusable skills support collaborative game experiments.
  7. The inference widget is experimental and its live demo encountered a problem.
전문

챕터별로 다듬은 전문 읽기

원본 자막만 보기
01

Work and connected data

An incident overview and personal connections.

Claire Vo interviews OpenAI product lead Kath Korevec about using ChatGPT Sites for work, personal projects and games. Korevec works on the product, so the demonstration reflects an insider’s perspective; the episode has sponsors.

Korevec shows an incident command overview for her team and emphasizes that the displayed content is a demo. The site brings together information from connected work tools to help the team see incidents and related context.

The pair discuss using connected services as data sources. Korevec describes a feature in which people visiting a shared site can use their own connected plugins and see data according to their access. The exact behavior depends on the connector and permissions.

Her frequent sources include Slack, Notion, Google Drive and Calendar. She describes both small personal tools and team software, while noting that connector coverage continues to evolve.

02

Infrastructure and music

Deployment and personal discovery.

Korevec describes Sites as deployment infrastructure for software built with Codex, and says it can also host MCP plugins and data for other workflows. Feature availability and permissions depend on the user’s environment.

For a personal example, she describes creating a mobile-friendly music discovery site after family listening changed her recommendations. It gathers suggested music and helps build a playlist; the example combines external sources and user instructions.

03

Games and experimentation

Collaborative projects and a prototype widget.

The discussion turns to games. They describe building interactive projects and sharing them with others, including using reusable skills so people can contribute new material to a collaborative game.

Korevec shows an experimental widget intended to bring model inference into a site. The demo does not work as intended at that moment, and she describes the feature as something the team is exploring rather than a finished guarantee.

04

Community and boundaries

A gallery and control over external actions.

She shares a community gallery of examples, from a piano to a bus map, as a way to discover what others have built.

Asked about prompting, Korevec says she gets frustrated when an agent makes unwanted assumptions, particularly when it contacts people on her behalf. She explicitly tells it not to do that, highlighting the value of clear boundaries around external actions.

같은 채널의 다른 글

35:10EN
How I AI· 2026년 10월 28일팟캐스트Four Personal AI Agents on Nine Tasks: A User’s Test진행자 Claire VoClaire Vo compares work and family workflows while acknowledging uneven access and subjective scoring.제품과 UX평가(Evals)
슬라이드 5장29:40EN
How I AI· 2026년 10월 26일팟캐스트 · 2명How Reddit Proto Connects Design, Live Data and Production Code게스트 Blair Metcalf · 진행자 Claire VoBlair Metcalf demonstrates Reddit’s internal prototyping harness and its design-system mapping for Figma and Cursor.제품과 UXAI Product Management개발 워크플로와 테스트+1
슬라이드 13장16:22EN
How I AI· 2026년 10월 21일팟캐스트Claire Vo: Claude Duet Is Beautiful, but It Is Not My Number One Agent진행자 Claire VoAnthropic’s phone-based personal agent has the most polished launch Claire Vo has seen: thoughtful onboarding, task lists, first-class artifacts, and Slack-style channels. Polish is not enough when every other agent is competing for the same attention.Personal agentsAnthropicAI interface design+2
36:33EN
How I AI· 2026년 10월 19일팟캐스트 · 2명How Brooke Lacey Uses Claude Code to Edit Short Videos게스트 Brooke Lacey · 진행자 Claire VoA creator combines local media tools, timed cut lists and human feedback.Generative mediaCreator Economy
24:05EN
How I AI· 2026년 10월 14일팟캐스트A First Look at Meta Muse Wonder on Agent and Design Tasks진행자 Claire VoClaire Vo reports strengths and weaknesses from her own small evaluation.평가(Evals)AI agents
37:47EN
How I AI· 2026년 10월 12일팟캐스트 · 2명Designing Meta Muse: Status, Personalization and Everyday Agents게스트 Alex Cornell · 진행자 Claire VoAlex Cornell discusses consumer agent design and his own experiments with Muse.Product DesignPersonal agentsHuman-AI Collaboration