Hi team,
I wanted to suggest a few features for AI Studio that would make working with long context windows much better.
The massive context window in Gemini 3 is a game changer, but we still face the “Attention Dilution” problem. As the chat gets longer, the model often gets “lost in the middle” and starts ignoring the original instructions because they get buried under piles of recent conversation history. On top of that, re-sending the full raw history every single time burns through tokens unnecessarily.
I really think AI Studio needs a native “Context Management” layer to handle this automatically.
I built a working prototype called “Dynamic Context” to solve this myself. It uses a “squeeze and lock” approach: it compresses heavy, old messages into summaries while keeping critical instructions locked in place. The difference in reasoning quality and cost savings was huge in my tests.
Based on that experiment, here are three things I would love to see natively in AI Studio:
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Verbatim Anchors: A simple UI option to “lock” specific instruction blocks so they never get summarized or dropped. This ensures the model always pays attention to the rules, no matter how long the chat gets.
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Compaction Thresholds: Instead of just a hard limit on message count, let us set a “smart budget.” If the history exceeds it, the system should automatically summarize the heaviest old parts to save space without losing facts.
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Token Heatmaps: A visual tool to see which parts of the history are taking up the most space and attention.
You can check out the code and the logic in my repo below. It works great in practice and I think it would be a perfect fit for the platform.