I am a ChatGPT Plus subscriber and I use Work and Codex for documents, websites, coding, project development, and other practical tasks.
One of the biggest usability problems I have encountered is understanding how quickly Work and Codex usage is being consumed.
The current “5 hour” display is especially confusing. Most users will naturally interpret that as roughly five hours of available working time. In practice, the allowance can be exhausted much sooner depending on the model, reasoning level, context size, tools being used, and complexity of the task.
I think ChatGPT needs a much more human understandable way to show compute consumption.
My suggestion is a simple tachometer or fuel gauge located near the existing usage indicator.
The goal would not be to make users understand tokens or AI infrastructure. It would translate compute usage into something almost anyone already understands.
For example:
Green: Efficient usage. Current model is appropriate for the task.
Yellow: Moderate compute usage.
Orange: Heavy usage. A less expensive model may be able to complete the task just as well.
Red: Very high consumption. The current task is rapidly consuming the user’s remaining allowance.
The gauge could also show remaining capacity for both the current usage window and the weekly allowance.
More importantly, ChatGPT could provide smart model guidance based on the task.
Examples:
“This task should run efficiently on Terra.”
“You could downshift from Astra to Sol without significantly affecting the expected result.”
“This task is more difficult than expected. Consider moving up to Astra.”
The user should always retain control. The system should never silently reduce capability or prevent access to the strongest model.
An optional Automatic Efficiency Mode could go even further:
“Use the least expensive model capable of completing the task reliably, and escalate to a stronger model only when necessary.”
This would effectively give ChatGPT an automatic transmission instead of requiring every user to understand which model and reasoning level is appropriate for every task.
The existing ChatGPT Pet could also become part of this interface. The Pet could change color, animation speed, or behavior depending on compute load and occasionally display a small suggestion such as:
“You are running pretty hard. Terra may be enough for this task.”
or:
“This problem may benefit from Astra.”
That would make an otherwise technical concept understandable to nontechnical users almost instantly.
I do not want less intelligence from ChatGPT. I want better visibility into when I am using more intelligence and compute than the task actually requires.
This seems like a win for both OpenAI and users.
Users could get substantially more useful work from their subscriptions and make informed decisions before exhausting their allowance.
OpenAI could reduce unnecessary compute usage when lighter models are perfectly capable of completing the task.
Right now, using Work can sometimes feel like driving a vehicle without a tachometer or fuel gauge. You can press the accelerator, but you do not really know how hard the engine is working until the fuel is nearly gone.
A simple visual compute gauge combined with intelligent model recommendations would make Work and Codex much easier to understand, especially for ordinary users who are not AI engineers.