Google AI Studio: Productivity issue

Hello,

I would like to address a productivity issue I’m experiencing with Google AI Studio. Today, I had several planned activities, but on the very first prompt, Gemini 3.1 Pro failed to perform the expected calculation. I had to spend the next 3 requests just trying to fix that error, which consumed more than half of my daily quota.

As a result of a single mistake, I no longer have enough quota to continue working today. It is very counter-productive to spend time explaining the same thing and wasting the limit on corrections. One might say, “you should pay for a higher limit,” but that would only make the project more expensive without solving the underlying inefficiency.

The AI should have the ability to identify if a prompt is a correction of a previous error or an actual step forward in the project. We need more efficiency; right now, it feels like I’m wasting money just to ‘train’ the AI on my specific task. Please consider this: distinguish quota usage between time spent correcting a prompt and actual progress made on the development.

It is unreasonable to continue this cycle of wasting resources on correcting AI errors. Users should only be charged for prompts that result in actual progress.

Thank you

2 Likes

same thing here and I also have to use “restore” alot. Then when changes are either updated to the app, I only realeze that parts of the app was broken but not after few prompts later. I’ve noticed a full page and feature in the app was deleted or reverted to the older version, which was months ago prompts. Now I have to restore and repeat all and any prompts from the restored point, which could be months prior. The ai.studio has not been working properly since Feb. 13th - Feb. 20th. There is something that happened and ai.studio is not letting us know.

Yes, it is extremely frustrating to try to be productive when usage is limited by repairs to things that went wrong. How can this be sustainable in the long term when so much time is spent correcting errors with little actual progress? Wasting resources just to fix a misunderstanding is the core issue. It is both unproductive and expensive. Google should be genuinely concerned about this issue.