Create your own intelligence specific to your product. With an agentic infrastructure, custom tools, and extensive API support, customize your intelligence in detail and establish extensive artificial intelligence infrastructures like apple intelligence.
@yc_j Yeah we just democratize the Copilot and Intelligence concepts.
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This looks intriguing, Bartu! I'm curious about how the GCA framework handles integration with existing systems. Is it straightforward to implement for developers who may not be deeply entrenched in AI or machine learning?
Also, you mentioned that building with GCA can lead to high-quality outputs—what kind of metrics are you using to measure that? Any real-world examples or case studies of businesses benefiting from this?
I’m especially interested in the flexibility of the agentic infrastructure you’ve offered. What kinds of custom tools have other makers found particularly useful? Looking forward to learning more!
@oliviajanemitchell
A little knowledge of Python is enough, you don't need to be an advanced developer.
We say this thanks to GCA's agentic infrastructure and its ability to successfully complete ordered tasks.
We currently have 23k downloads, but we haven't tracked which projects it's used in.
Wow, Bartu! This sounds like a game changer for custom AI solutions. The level of flexibility and control you’re offering with GCA is impressive. I mean, the ability to have an 'intelligence' framework instead of just a basic assistant really opens up new possibilities. I'm particularly intrigued by the voice responses—definitely adds a personal touch to interactions. Plus, supporting open-source models is a bold move for democratizing AI. Can't wait to see more makers jumping on board and building cool stuff with it! Upvote for sure! 🚀
@elke_qin I love frameworks, they speed up the development process a lot. After we designed the GCA intelligence, we realized it could be a framework and we developed it for a long time. We hope it will become a popular framework, even if not as much as Django.
Fantastic work, @bartu! The potential for custom AI tailored to specific products is amazing. With such robust API support and tools, it seems like Makers can really enhance their applications. Excited to see how this evolves and integrates into existing systems. Upvoted!
@ema_elisi Definitely, when makers want to design for their own products from scratch, they will spend a lot of time. We allocated more than 700+ hours to develop this. Instead, a maker can focus on more important matters.
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Hey Bartu, so are we supposed to spend 700+ hours to get decent AI infrastructure, kinda feels like overkill no? And what's with the multiple voices, is that really necessary or just a gimmick? Maybe focus more on core functionalities instead of fancy extras, I dunno, what do you think?
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So is this just another overly complicated tool that's gonna end up making things more difficult for users, or is there something truly unique here considering the market is already flooded with AI options?🤔
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