Quick Overview
In this product demonstration, Katia Gil Guzman from OpenAI's Developer Experience team showcases the visualize skill available in ChatGPT and Codex. The presentation demonstrates methods for converting long documents into interactive visual dashboards and timelines. The video was created to provide users with an overview of visual generation, layout iteration, and sharing capabilities.
Key Points
- 1.The visualize skill in ChatGPT allows users to convert dense text documents into visual interfaces and dashboards.
- 2.Visual layouts can summarize complex information into clear sections such as decisions made, delivery timelines, workload distributions, and open questions.
- 3.Users can iterate on generated visualizations through prompts, including requesting alternative formats such as calendar views.
- 4.Visual outputs can incorporate interactive elements, including multi-tab navigation and buttons that trigger automated follow-up prompts in the chat.
- 5.Completed visual summaries can be exported as image files or published as web pages with shareable links.
Summary
Katia Gil Guzman from Developer Experience at OpenAI introduces the visualize skill in ChatGPT and Codex. The feature is designed for situations where users need to understand complex or dense information without reading through raw text outputs. By activating the visualize skill, users can transform lengthy text documents into structured graphical interfaces.
To demonstrate the workflow, a long document containing meeting notes for an event planning project is processed. Instead of requiring a full read of the raw document, ChatGPT generates a dashboard summarizing the meeting details. The interface breaks down workload by team member, lists decisions already agreed upon, displays a scheduled delivery timeline, and highlights unresolved topics that still require a decision.
The demonstration shows that visual layouts can be modified through iterative conversation. When asked to display the information in a calendar format, ChatGPT updates the summary into a monthly calendar view mapping out specific task deliverables, demo recordings, and event dates across September.
Beyond static overviews, the visualize skill supports interactive interface elements. Users can organize information into clickable tabs, such as separating follow-up tasks from unresolved decisions. The interface can also include functional action buttons that send predefined queries directly into the chat session, such as initiating a Slack context search for an unassigned task.
Once an interface is created, users have options for sharing it with colleagues. Visual summaries can be exported as standalone image files or published directly to the web as hosted sites, allowing users to share an accessible link. Gil Guzman concludes by noting that she regularly applies the feature to morning briefs, topic onboarding, and general project management.
Transforming Dense Documents into Visual Summaries
When working with lengthy text such as meeting notes, the visualize skill enables ChatGPT and Codex to parse dense information and render it as structured visual dashboards. The resulting interface highlights key components, including finalized decisions, delivery timelines, assigned workloads, and items requiring further review.
Iterating and Customizing Layouts
Users can refine visual outputs conversationally by requesting alternative layouts. In the demonstration, a prompt requesting a calendar view converts the project timeline into a monthly calendar layout showing deadlines, workshops, and milestones.
Adding Interactivity and Sharing Outputs
The tool supports interactive visual components such as tabbed navigation and clickable buttons that automatically execute contextual prompts within the chat. Once finalized, visual interfaces can be exported directly as images or published as standalone web pages with shareable links.
The Bottom Line
The video demonstrates how OpenAI's visualize skill converts raw textual content into interactive visual summaries, calendars, and shareable web pages. It establishes practical methods for formatting meeting notes, embedding prompt triggers, and distributing visual outputs across teams. The overview focuses on end-user workflow examples without detailing technical implementation or underlying code architecture.
FAQ
What is the visualize skill in ChatGPT and what can it be used for?
The visualize skill is a feature in ChatGPT and Codex that transforms dense text documents, such as meeting notes, into visual summaries, structured dashboards, and interactive interfaces.
How can users convert long documents like meeting notes into visual summaries using ChatGPT?
Users can prompt ChatGPT to generate a visual summary from an uploaded document or text file. The resulting interface breaks down key elements like workload distribution, agreed decisions, delivery timelines, and pending issues.
Can users modify or iterate on generated visual layouts such as requesting a calendar view in ChatGPT?
Yes. Users can iterate conversationally by asking ChatGPT for alternative layouts, such as asking for a calendar view to see dates and deadlines organized on a monthly grid.
How do interactive elements and action buttons work within visual interfaces generated by ChatGPT?
Generated interfaces can feature multiple tabs to separate topics and include interactive buttons. Clicking a button automatically submits a specific follow-up prompt into the active chat session.
What options are available for exporting and sharing visual interfaces created with ChatGPT?
Users can export the completed visualization as an image file or publish it as a web page to generate a shareable link for team members.
Worth watching for
Developers, project managers, and knowledge workers who use ChatGPT or Codex and want to convert dense textual information into structured, interactive visual overviews.
- chatgpt
- codex
- visualize-skill
- productivity
- openai
- data-visualization