As a defi native user I have trouble finding yield that is sustainable and manageable. I hate clicking through multiple frontends, tracking yield APY's and making sure things are well managed week-to-week instead of chasing yearly APY's.
agents can read and even deploy contracts. allowing you maximum yield, automation, and stop loss exits in case farming dries up or isn't as competitive.
As an active trader or passive trader with some asset exposure, I want to run an agent against a strategy, get updates in a timely manner, and be able to drill down into details for my PnL. I'd like to source and manage my edge with the help of an agent.
agents increase your PnL, fine tuned by you. they help you find your edge.
I want to follow momentum more but can't keep up with the firehose of new places to focus on. An agent can help me stay on top and stay exposed to logical risks.
agents help you get ahead of the curve.
Finally, As a crypto native user, I'm constantly second guessing myself and I'd like to just hit a target or be told why I can't hit a certain APY. An LLM model allows me to interact and learn why things do or don't work in real time so i make better decisions.
agents build confidence and trust over time.
High level user categories and core flows:
Each of these use cases feeds into one another and the better we get at ingesting services for the LLM stack first (possibly using the interface as test ENV) the stickier the suite of marquee prompts becomes.
We get bonus points if we figure out how to link mobile experience to this and generate dashboards, performance, back-testing, etc. as plugins (or custom GPTs).
We need to be cognizant that, as of Feb in 2025, the SOTA is still off from autonomy. So, we should aim towards a novel app, an onchain copilot.