The agent picks pools, weights, and timing according to its logic.
This is a massive UX jump: it’s like moving from “choose the exact trade” to “tell the butler what you want”. There will still be pools to choose from but this is
2. Upgradeable brain, not just upgradeable contracts
Because the core logic lives in the agent layer Atlas can:
Swap out valuation models,
Test different fee sweep schedules,
Add or rotate pools within a protocol
Use external signals (volume, depth, volatility) and combine with agent
without forcing users to migrate through a painful “v1 → v2 vault” process every time there is a new idea
Today the stable pool is fixed; tomorrow the agent can:
Shift between multiple stable pools,
Allocate across multiple chains,
React to new campaigns or incentive programs.
The strategy is software, not just static parameters.
3. Lower cognitive load for non-power users
Most users don’t want to:
Learn CLMM vs stable pools,
Compare APYs on multiple DEXs,
Optimise fee collection frequency.
They want:
“I deposit stablecoins; I get a sane yield; I can exit whenever.”
Agentic yields give you exactly that onboarding story:
“Choose the agent” (Atlas stable yield in Tapp (Tapp points), Atlas higher yield in Hyperion, Atlas in perp exchanges like Decibel)
Deposit.
Monitor simple, human metrics.
Withdraw.
That’s a UX a mainstream product can lead with, and can be a mobile app.
4. Clear on-chain traceability
Even though Atlas abstracts the behaviour, it’s still transparent:
Vault layer, Mirror layer, Pool layer (TAPP): Each LP mint can be inspected on the Aptos Explorer:
You can see estimatedWithdrawals (USDC/USDT),
EstimatedIncentives (APT)
So while Atlas behaves like a butler, you’re not flying blind. Users and power users can drill all the way down.