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https://opensea.io/collection/dev-21
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Chinmay ๐น๏ธ๐ฟ
@chinmay.eth
Some technical lessons we learned while building @basketdotfarm Thread Below ๐
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Chinmay ๐น๏ธ๐ฟ
@chinmay.eth
1. AI is easy to get started with and hard to get accurate. Using any existing frameworks (we are using Eliza), you can create a demo project within hours. But when you try using it with actions and accurate user flows, it's very hard to perfect.
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Chinmay ๐น๏ธ๐ฟ
@chinmay.eth
2. Too many tokens and not a single reliable source of truth We have millions of tokens on @base. Many have the same ticker. It's very hard to guess which one is user looking for. Our current solution - reverse sort by the amount of transactions - pick the top one and ignore all else - hardcode this so that AI does not screw up
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Angel - Not A Bot
@sayangel
spot on! would love to know if you made any modifications to the Eliza action system that improve it. I've found that while it's quite good at yapper agents the action system is a bit hit or miss. it has the tendency to prefer a reply vs perform an action.
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