How much time do you lose re-explaining context to different AI models every single day?

Hey Product Hunt community!

If you rely heavily on AI tools for your daily workflow (coding, copy, strategy), you've probably noticed a common efficiency bottleneck:

>> Every time you switch from one AI model to another, you have to re-upload files, re-paste system prompts, or re-explain your project setup from scratch.

While building our latest project, we realized that context switching between multiple isolated AI tools was taking away almost 30-40% of our actual productivity time.

We decided to experiment with a "shared memory workspace" approach—keeping all models within one dashboard where preferences and project knowledge stay connected across tools.

I’d love to get your thoughts on AI workflows:

>> How many different AI models or apps do you currently jump between during a normal workday?

>> What is the biggest frustration you face when moving data or context between different LLMs?

Would love to hear how fellow founders and creators are streamlining their AI stacks!