Ep 887: ChatGPT Work: What’s New, Who It’s For and How to Use It (Replay)

OpenAI's new ChatGPT Work is on fire. 🔥
The company said they've added 2 million users in the past two days alone.
Wanna know a secret about it though?
(It's kinda not new at all. It's just Codex in Chat clothing.)
Regardless, millions of new users are realizing for the first time what it means to have an agent that can work for them 24/7. And even if you're not a technical builder, it's pretty easy to set up a swarm of agents to help with any kind of work.
We show you how.
Ep 887: ChatGPT Work: What’s New, Who It’s For and How to Use It (Replay)
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Topics Covered in This Episode:
ChatGPT Work vs Codex Comparison
OpenAI's Viral ChatGPT Work Launch
Key Differences: Desktop vs Web Versions
ChatGPT Work User Growth and Backlash
Remote Access and Computer Use Features
Agentic AI: Multiple Agents on Desktop
Advanced Workflow Automation Capabilities
Syncing and Integration Challenges Explained
Detailed Demo: Site and Skill Creation
Power User Features: Sub-Agents & Goals
Timestamps:
00:00 Chad GPT Work launch details
04:03 Confusion over ChatGPT update
09:20 Preparing AI news stories
12:32 Highlighting improved computer use
13:57 2 million new users in 48 hours
17:35 Chat syncing and organization benefits
21:17 Model's unique context handling
25:59 Discussing Beehive and audience insights
29:50 Exploring Desktop AI Features
31:22 Ending and subscription reminder
Keywords:
ChatGPT Work, ChatGPT for Work, OpenAI, Codex, Codex app, Codex for beginners, Codex update, AI agent, agentic AI, desktop AI app, web AI app, ChatGPT desktop, ChatGPT web, GPT-5.6, GPT 5.6 Soul, nontechnical AI users, business deliverables, remote feature, remote mode, mobile AI syncing, AI-powered automation, sub agents, multi-agent workflows, computer use, browser use, built-in browser, technical AI tasks, non-coders, usage credits, artifacts, interactive dashboards, AI context window, auto compaction, agent MD files, custom instructions, chain of thought, plan mode, steering, queuing, looping processes, context syncing, cloud code, team plan, private AI sites, personalized AI outputs, persistent agent workspace, skill creation, manual knowledge work.
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