I'm juggling multiple projects and switching between different language models like ChatGPT, Claude, and Grok, which means I have to explain my project context over and over every time I switch. It's really frustrating! Some people suggested keeping a document to track my context and progress, but that's not very convenient. So, I'm developing a tool called Window. It's designed to save your context once and let you reuse it across different LLMs. With Window, you'll be able to:
* Add your context just once
* Use it across all LLMs
* Transfer context seamlessly between models
* Have up-to-date context no matter the model
* Eliminate the need to re-explain your context each time.
I'd love to hear your thoughts and feedback on this idea!
2 Answers
Honestly, I feel like the number of people who use multiple LLMs simultaneously is really small. It seems a bit odd that so many developers are trying to cater to what feels like a niche market. You might want to consider if it can actually attract enough users.
Yeah, I get that perspective. It's just about leveraging the strengths of each model.
Have you thought about how Window compares to something like Msty? What unique features do you offer that they don’t?
Window is more of a lightweight tool. It won't compete directly with Msty or other LLM clients, but it does serve as a simple way to carry your context to any model. It's all about flexibility!
I hope it’s not just another browser extension; that’s getting pretty crowded!
That’s true, but some models do give different answers. Sometimes, it’s worth it to have options and pick the best one.