Video summary
챗지피티 워크 안쓰면 매일 시간 낭비하는겁니다 | 설치, 개념, 사용법 총정리 [ChatGPT Work]
Main summary
Key takeaways
Summary of the “ChatGPT Work” video (installation, concept, usage)
1) What “Work” is (vs normal Chat)
- Chat: an interactive Q&A loop where you ask step-by-step questions and iteratively refine results.
- Work: a new ChatGPT feature where you define the final deliverable, attach inputs, and the AI plans + analyzes + follows steps independently to produce the completed output.
Key mental shift: instead of “prompting every step,” you delegate tasks and then review/approve results.
The video’s comparison in one line:
Chat answers; Work performs tasks.
2) When to use Chat vs Work (decision rule)
Use Chat when the task can be done in one go (single deliverable), for example:
- writing emails
- summarizing documents
- brainstorming ideas
Use Work when the task requires multiple steps/stages and multiple deliverables, for example:
- analyze data → create a report
- generate presentation materials
- combine several files and periodically review progress
3) Demo: same scenario done with Chat vs Work
Scenario: preparing for a healthcare company quarterly meeting (Nord Wellness) using:
- meeting minutes
- company profile materials
- Q2 performance/measurement data
Chat approach (repetitive loop)
- Attach meeting minutes in Chat and request a summary + unresolved issues.
- Then repeatedly prompt again for:
- performance analysis
- report materials
- likely questions for the meeting
This demonstrates the “many prompts = a lot of work” problem.
Work approach (delegation + structured deliverables)
- In the Work tab, attach all files at once.
- The prompt is structured to include:
- final deliverables (top)
- process outline (middle)
- rules/constraints (bottom), such as:
- prevent fabrication by marking anything not present as “estimation”
- restrict to only the attached materials (no external info)
- include safeguards so the system waits for approval before completing outputs
- Work produces a set of deliverables (example shown: briefing summary, anticipated Q&A, rationale, proposed course of action) with a visible approval step.
4) “How to use Work” framework (4 steps)
The video describes a reusable workflow consistent with OpenAI guidance:
- Decide the Deliverable (and who the audience is—management changes depth)
- Delegate (provide all necessary inputs + rules/constraints)
- Status / Intervention (not “hands-off”—you can adjust direction mid-run before completion)
- Review (verify numbers, evidence, and assumptions before finalizing)
5) Features that make Work easier
A) Projects (persistent workspace; local folder support)
- A Project maintains files and context, so you don’t re-upload everything each time.
- Demo shows:
- creating a project (e.g., “Nord Wellness”)
- linking a local folder on your computer
- Work can:
- read files from that folder automatically
- save results back to it
- avoid repeatedly uploading/downloading to the cloud
- Work can also list and understand folder contents, even when files weren’t attached individually.
B) Plugins (connect external tools/services)
Plugins connect Work to services/tools such as:
- Gmail
- Google Drive
- Calendar
- Notion
- (others mentioned include tools like Figma and similar)
Demo example:
- ask to organize unread emails from today requiring replies
- Work uses the connected plugin to access inbox content
Importance:
- Work can retrieve relevant past materials automatically (e.g., last quarter reports from Google Drive) instead of requiring you to manually gather files.
C) Browsing (built-in web navigation + in-context reading)
- Work includes an embedded browser alongside the conversation.
- Demo example:
- open a Google results page
- select 3 recent, relevant, reliable articles
- read them and summarize key points
Emphasis:
- you can observe which sources are accessed in real time, reducing copy/paste work
- the selection criteria (recency, market relevance, source reliability) is produced to make review easier
D) Computer use (UI automation: mouse/keyboard control)
- Work can control the computer by moving the mouse, clicking, and typing (with a separate cursor shown).
- Demo example:
- schedule a calendar event for a quarterly earnings meeting
- set a reminder 30 minutes before
This runs on the user’s machine while you can continue other tasks.
E) Skills (save reusable “work methods”)
- Skills store repetitive, structured workflows you’ve already prompted successfully.
- Example:
- create a skill like “Preparing Performance Reports”
- the saved skill includes analysis structure, rules, and output format
- Skill Creator can learn from a completed process and generate a skill automatically.
Benefit:
- consistent output structure across quarters makes comparison easier for recipients.
F) Scheduled tasks (automate Work on a timetable)
- Lets you run Work automatically on a schedule.
- Demo example:
- every Monday 9 AM: read latest project data and summarize last week’s customer feedback
This reduces recurring manual requests for weekly reports/briefings.
G) Sites (create and host a website/dashboard)
- Sites generate a website and handle hosting inside the app.
- Can include:
- dashboards
- status boards
- portals
- simple websites
- Demo example:
- build a business performance dashboard using project data
- Work drafts the direction, asks approval, then completes it
- output includes charts by region and filtering/checking by product
Sharing controls:
- private by default
- can later open to specific people or make public online
6) Overall guidance from the video
- Start small: choose one manageable task for the week and delegate it to Work.
- Once comfortable, scale up automation using:
- Projects / Plugins / Browsing / Computer use / Skills / Scheduled tasks / Sites
Main speakers / sources
- Primary source (video speaker): an unnamed narrator/host presenting and demonstrating “ChatGPT Work.”
- Referenced official source: OpenAI (mentioned as guidance that AI usage shifts from conversation to delegation using the described four points).
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