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@shoni.eth
Where AI acts as the control layer, the DAO perspective shifts: it's not just agent performing actions but an agent discovering quality and drafting proposals. Instead of people pitching solutions to problems that might not exist, the agent highlights problems, analyzes discussions, and proposes solutions aligned with the DAO's goals
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@links
Maybe in the future but right now this is the kind of answer we are getting from ai agents: https://warpcast.com/askgina.eth/0xec28e946 None of this is particularly useful, and the agent can’t go ahead and do those things for us, either. Small use case that would probably work today: proposal writing. Have ai write proposals so people don’t have to. Still need a human to set up scope and need, but reduces time to proposal, which is useful.
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@shoni.eth
if gina ran farcaster it would advocate for paying ted the most i think i’ll demo tag the bot in a thread and draft a proposal based on the conversation potentially.. however is it a proposal or a bounty if it’s a proposal for a bounty are we voting twice
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@links
Are you going to do the work? Then proposal. Are you asking for money to get a bounty for someone else to do the work? Then spin up a multisig to handle the bounty choices and do a proposal.
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@shoni.eth
hmm yeah bot not doing any of that post win work. just bringing issues to attention. the agent handling payouts might be the move for an already approved bounty prop… since i’m bringing user history for benchmarking
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