Getting Started with ChatGPT Work: Delegating Multi-Step Tasks with Reviewable Deliverables

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ChatGPT Work introduces a task-oriented mode designed to delegate complex work, generate completed files like slide decks or spreadsheets, and run automated workflows. It differentiates from regular Chat by focusing on deliverable outputs and supports both local desktop execution and scheduled background cloud tasks.

Key points

  1. Chat vs. Work: Standard Chat serves answers, brainstorming, and short drafts, whereas ChatGPT Work completes full deliverables such as briefs, presentations, data comparisons, and recurring reports.
  2. Local vs. Cloud Execution: The desktop client supports local file and app access, while Cloud mode keeps tasks and scheduled runs going even when the computer is turned off.
  3. Tool and Plugin Integration: Using the '@' handle, users can connect services such as Google Drive, Slack, SharePoint, Salesforce MCP, GitHub, and email into automated workflows.
  4. Model Selection: Demanding tasks requiring deep reasoning or visual formatting use GPT-6 Astra, while lighter tasks can run on Sol, Terra, or Luna.
  5. Relationship to Codex: Users relying on Codex for non-coding workflows can transition to ChatGPT Work, which offers the same core capabilities tailored to everyday business workflows.

Why it matters

This shift transitions AI from conversational question-and-answer interactions toward agentic task execution capable of directly manipulating files and running across corporate toolchains.

Analysis

ChatGPT Work shifts the focus from rapid prompting to task governance and review gates. By integrating third-party tools and local file systems, it produces production-ready outputs instead of raw text, requiring users to set precise boundaries, constraints, and intermediate approval checkpoints.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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