I completely understand your frustration with Google AI Studio.
The flat chronological list for chats and prompts quickly becomes cluttered making it hard to find past contexts system instructions or project-specific threads especially when juggling multiple ongoing workflows.
I have run into very similar issues while managing several complex projects in AI Studio. The lack of proper organization leads to constant scrolling wasted time on rediscovering old prompts and frequent context loss which breaks momentum and makes switching between projects inefficient. This highlights a broader gap in current AI tools that still rely heavily on linear chat interfaces rather than structured persistent workspaces.
As a practical workaround you could use consistent naming prefixes like ProjectA-FeatureX for chats periodically summarize key prompts into dedicated notes and leverage search with targeted keywords. However these steps remain manual and dont fully solve the underlying organization challenges for long-term use.
For pain points such as project organization, proactive context management, and improved workflow persistence, I began experimenting with AI canvases that embed AI workflows—this may be ideal for simplifying the content you described.
Feel free to check it out or share more about your specific use cases so we can discuss further optimizations.