Role of AI Agents in Consumer AI - What You Need to Know
$MOBY, $LOKY & More
The current wave of AI reply bots is getting old fast and the teams and developers behind these agents need to think of ways to differentiate themselves from the noise. This is an inevitable problem when the means of creating new agents become easier to access. One underexplored way that agents can separate themselves from the pack is to partner/integrate with crypto tools and products that have existing users.
We recently covered $MOBY on X a couple of hours after its launch. $MOBY is trained on data from @whalewatchalert, an X account that posts onchain transactions from whales that users might find helpful in finding new tokens to ape. Moby is also accessible on Griffain, an aggregator for onchain AI agents, but more importantly, will be fully integrated within AssetDash’s app.
However, beyond Moby, the concept of combining agents with existing products could stick around and is worth discussing further…
Stay informed, stay alert ⬇
Background on Moby
Moby is an ‘alpha-focused’ AI agent developed by AssetDash, with training data sourced from Whales watch. AssetDash is a crypto portfolio tracking tool, with over thousands of downloads across platforms. Whales watch itself is also a product by AssetDash, though it operates its own separate twitter account with nearly as many followers as AssetDash itself (92K) after just a couple of months of operation. AssetDash has also launched a PFP NFT collection as another product, though this project is seemingly less successful than Whales watch. From this background alone we can see that AssetDash is well-versed in using these crypto-native side-products as ways to grow attention and bring value to the underlying business.
The Moby agent specifically is in its early stages after just launching on Monday. On X, it is somewhat similar to AIXBT, though less insightful and more so focused on wallet data as opposed to fundamental analysis of projects. This is to be expected considering it is mostly trained on Whales watch.
Users of Asset Dash can already get daily briefs of the latest news and headlines of the day from Moby. However, the full capability of the Moby agent within the app is not expected until later in this year in the summer.
Role of Agents in Crypto & DeFi
Moby leverages partnerships for its training data, and integrations for its distribution, with a clear goal to bring value back to the Asset Dash platform which is funding development of the project. There’s at least one other project that is somewhat similar. Loky, on virtuals, is built by Dapplooker, a crypto data analytics service. Data companies, including the bigger players like Kaito, Nansen, or Cookie, are uniquely disposed to create their own agents as they already have access to valuable training data.
This is on the training side; on the use of AI agents, many crypto protocols and products might stand to gain from integrating agents for their own service. So can one imagine a future where exchanges likes Binance roll out agents of their own? Maybe. Larger exchanges and companies within the space might be more hesitant to try these sorts of things as they have less to gain and more to lose.
Regardless, the profile of operators that have recently come out to announce AI agent integrations or the development of their own in-house agent has been increasing. Ronin and Illuvium, two of the largest names in the gaming space, recently began rolling out agent partnerships with Virtuals. Even if some of this adoption might be performative, this can’t be discounted and it may spread to DeFi protocols and other areas of crypto.
Just as we saw large L1s and L2s catch onto memecoins, gaming and even AI with dedicated ecosystem funds, Agents and DeFAI may be the ‘new thing’ that teams latch onto in order to try and find adoption. Developing an AI agent may be a cheaper way to stay relevant and make your product stand out to AI developers and teams. Story Protocol is the L1 perhaps the most involved with Agents, even publishing their own framework for enabling agent-to-agent IP trading.
On twitter, the agent can act as something similar to a mascot, sort of like an intern account that can support a larger company account while being more active and in the weeds. Of course, an agent can represent a company around the clock and access data faster than humans can. And if the account tweets something abnormal or offensive, maybe it is less culpable and can be forgiven more easily.
Besides twitter, agents can be integrated into platforms, or made accessible through a terminal. There are a lot of ways that teams can make the most of agents to add value to their product beyond just doing it to use the buzzword…
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