0x9e0e9d25…57b1sent to0x8d59e106…2902·#23,426,295·view on Etherscan
@0x073f...2e63
ETH has been in the 4100 to 4900 range for the past several weeks since the market started gaining. I do not base planning on the daily price, since volatility is always part of crypto. Instead, I look at short term forecasts and averages to keep things realistic. The budget also has a small buffer built in budget lines for exactly these kinds of swings, so the recent dip does not threaten delivery. From my side, the bigger risk is slowing down the work by waiting. ETH rarely gives us a “stable” moment, and if we pause for that, we might end up waiting forever. The proposal is still well covered, and if costs ever go slightly over later, I will adjust on my end rather than leave the DAO exposed. In practice, it makes more sense to move forward now while ETH is holding support and the plan is fully fundable.
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> This proposal has lost almost $3k in value since it was first proposed due to ETH's decline, will this amount still cover the costs? or should we wait until ETH stabilizes to re-propose?
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@0x2ece...792F
The previous version of this agent was an MVP. DAO engagement with it was modest, but it clearly showed potential, especially for onboarding and helping contributors navigate workflows. The people who used it found it valuable. Like many DAO tools, adoption is closely tied to visibility and timing, so we see this as something with room to grow.
That said, expanding this agent is only about 10 percent of the current proposal. The main focus is to build AI-friendly infrastructure that positions us for the coming shift to AI-first tooling, which is already happening across the entire ecosystem.
Every major platform is moving in this direction. Open Google and you see AI summaries instead of traditional search results. GitHub is adding AI capabilities daily. Etherscan has AI helpers on almost every page now. This is not a future trend, it’s the new default.
From my own experience engaging with a lot of less active members over the past few years, one of the biggest barriers to long-term contribution is lack of context. If you’re not in the loop constantly, it's hard to stay engaged. People drop off not because of lack of interest, but because they can't afford to follow everything 24/7. AI can close that gap by helping newcomers and returning contributors quickly regain context and find their place in the conversation.
It also helps builders. Accessing the right tools, documentation, or governance details can be a frustrating experience when scattered across platforms. AI can streamline all of that, reducing friction and making it easier to build and contribute.
So while improving the agent is a relatively small part of this proposal, it's strategically important. It supports newcomers, improves contributor retention, and reinforces the larger goal: to build infrastructure that keeps us ahead in an AI-native future.
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> From your previous work on this agent, what was the level of engagement from the DAO? I think this would be pretty darn useful for newcomers but I am a little concerned about demand.
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