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Explore How To Use ChatGPT Work: The Complete Beginner's Guide (2026) with 69,943 views, 1,040 likes, and 58 comments. Experience the impact of this video content that has captured audience attention.

How to use ChatGPT Work: the complete beginner's guide to giving AI a job in the cloud, editing the files you already have, working across your apps, and scheduling jobs that repeat. No coding required. This is a full walkthrough of ChatGPT Work and OpenAI Codex for everyday work, not software development. Where to run a task so it survives a closed laptop. How to talk to a job while it runs. What to say so a document gets a surgical edit instead of a rewrite. How to define clean before handing over a messy spreadsheet. How to turn a folder of receipts into a workbook you can check. When to use projects, skills, connected apps, scheduled runs, and event triggers. Which model and how much reasoning effort each job deserves, and how to keep your token usage from getting away from you. Full post: https://nateszerotoai.substack.com/p/beginners-guide-to-chatgpt-work?utm_source=youtube&utm_medium=video&utm_campaign=free-to-paid&utm_content=description My Links 🔗 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones In this video, I share a step by step guide to running ChatGPT Work and Codex across ordinary work: - How to choose cloud or local before you leave a long job - What to say so a document gets edited, not rewritten - Why research is only useful when disagreement stays visible - Where your tokens actually go across tasks, voice, and schedules These tools take real work off your plate, and they only stay useful if you keep the rules, the sources, and the checks on your side of the desk. Chapters: 00:00 intro: chat, work, or codex 02:52 cloud or local: keep the job running with your laptop closed 05:19 voice, dictation, and screen context 08:29 editing a document without rewriting it 11:32 cleaning a messy spreadsheet 14:51 turning receipts and photos into a table 17:59 research, reports, and decks from one task 24:15 the browser, connected apps, and projects 36:34 instructions, skills, and choosing a model 42:41 multiple agents, sites, and goals 51:11 scheduling, triggers, and quiet monitors 1:00:07 usage, tokens, and stopping a bad run

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