OpenAI merges Chat and Work tabs in desktop app for unified token usage

OpenAI is testing a merged interface that combines the Chat and Work tabs within its desktop application, according to the published report The company sent an email to users stating that this change allows for a more streamlined experience where exploration and execution happen in one place.reported This update is currently limited to a select group of users who are providing feedback before a wider rollout occurs.OpenAI is testing a simpler desktop app layout that combines two tabs into one for a small group of users.OpenAI is unifying the Chat and Work tabs in its desktop client, implementing a shared token allocation for ChatGPT and Codex.

What it does

The merged interface allows users to bring in files and plugins while asking ChatGPT to build websites, create presentations, or perform web tasks, according to the email cited by TechCrunch.reported Users can review and guide the model’s work within this single view. Codex remains a separate experience within the desktop app, but it will interact with the same underlying resource pool as the main chat interface.

How to get it

Access to this merged tab experience is currently restricted to select users, as according to the published report OpenAI stated that the company is gathering feedback from this initial group before rolling the feature out more widely.reported There is no specific timeline provided for when all users will receive access to the unified Chat and Work tabs.

Limits

OpenAI warned that the transition to a shared token pool means both ChatGPT and Codex draw from the same allowance, according to the published report While the change should not impact most users, some individuals might need to wait for resets more frequently.reported This depends on their specific usage volume and the models they choose to run within the desktop application.

The takeaway

This change simplifies the desktop app’s navigation by removing the distinction between the Chat and Work tabs for testers. It also aligns the resource management for ChatGPT and Codex, ensuring they share a single token allocation. Users should monitor their usage to understand how the shared pool affects their ability to run continuous tasks.

Building on this

Data science teams can leverage this unified interface to streamline workflows that involve both exploratory chat and structured work tasks. Developers can integrate files and plugins directly into the merged view, allowing for seamless transitions from idea generation to execution. The shared token pool requires teams to monitor usage more closely, as heavy use of Codex may impact availability for standard chat tasks.