Projects feature actually opens up some interesting possibilities. The basic idea is straightforward but pretty powerful: upload your documents, layer in custom instructions to shape how the AI interprets and responds to things, then start querying against that data.
Think about it—you're essentially building a personalized AI assistant tailored to your specific needs. Instead of generic responses, you get answers filtered through your own framework and logic. It's like having a custom GPT that understands your context, your requirements, your way of thinking.
What makes this relevant in the Web3 space is the democratization aspect. You don't need technical expertise to create intelligent tools anymore. Developers and non-devs alike can spin up customized AI workflows for everything from protocol analysis to community feedback processing. That kind of accessibility could reshape how projects interact with data and decision-making.
Projects feature actually opens up some interesting possibilities. The basic idea is straightforward but pretty powerful: upload your documents, layer in custom instructions to shape how the AI interprets and responds to things, then start querying against that data.
Think about it—you're essentially building a personalized AI assistant tailored to your specific needs. Instead of generic responses, you get answers filtered through your own framework and logic. It's like having a custom GPT that understands your context, your requirements, your way of thinking.
What makes this relevant in the Web3 space is the democratization aspect. You don't need technical expertise to create intelligent tools anymore. Developers and non-devs alike can spin up customized AI workflows for everything from protocol analysis to community feedback processing. That kind of accessibility could reshape how projects interact with data and decision-making.