Introducing Maxshot AI as a Strategy Operator in the Aave Ecosystem

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1. Summary

This proposal introduces Maxshot AI to the Aave community as a complementary, value-accretive yield optimization and distribution layer.

As Maxshot is already integrated with Aave V3 markets across multiple chains, this proposal does not request any protocol parameter changes, risk parameter updates, or direct integrations. Instead, it seeks community awareness, feedback, and formal ecosystem recognition of Maxshot as a third-party strategy operator that enhances capital efficiency and user experience for Aave.

By leveraging AI-driven, non-discretionary agents, Maxshot simplifies access to optimized, omni-chain yield opportunities, with the goal of increasing total value locked (TVL), capital efficiency, and liquidity stickiness across Aave markets.

2. Abstract

Maxshot AI operates as an intelligent yield optimization layer built on top of Aave and other DeFi protocols. It automatically routes and rebalances capital across chains and markets using deterministic, AI-driven agents to maximize risk-adjusted returns.

This proposal aims to align the Aave community with an existing ecosystem partner that already contributes capital flows into Aave liquidity pools and improves user access to yield opportunities without introducing additional protocol risk.

3. Motivation

Aave is a foundational DeFi liquidity protocol with robust risk management, transparent governance, and deployments across multiple networks. While its multi-chain expansion is a core strength, it also introduces structural inefficiencies that create opportunities for complementary, user-layer optimization.

Key Challenges

  • Liquidity Fragmentation: Liquidity is distributed across multiple Aave deployments, requiring users to manually bridge assets, compare rates, and manage positions across chains.

  • Operational Complexity: Actively managing positions across multiple markets and networks is time-intensive and costly, leading to suboptimal capital allocation.

  • Uneven Utilization: Friction at the user layer can result in idle liquidity and inconsistent utilization across Aave markets.

Maxshot’s Role

Maxshot AI acts as a non-custodial, intelligent routing and optimization layer on top of Aave, improving capital efficiency and user experience through automated, rules-based yield optimization—without modifying or competing with Aave’s core protocol.

4. Specification: Maxshot Overview

Maxshot AI is an AI Agent Factory, an AI-native, automation-first infrastructure layer designed to build, deploy, and coordinate autonomous agents for on-chain capital optimization.

At its core, Maxshot provides a standardized framework for creating protocol-aware, risk-constrained AI agents that can observe market conditions, reason over strategy sets, and execute actions across DeFi systems. These agents operate continuously within predefined risk models and governance-aligned parameters, enabling scalable and transparent automation at the infrastructure level.

Key Characteristics

  • Deterministic, Continuous Execution

    Agents operate autonomously and continuously, responding to market changes without manual intervention. All decisions follow transparent, rules-based logic that is auditable and verifiable on-chain, eliminating discretionary risk.

  • Full On-Chain Transparency

    Every allocation, rebalance, and performance metric is recorded on-chain and available for real-time community review, enabling ongoing verification of compliance and protocol impact.

  • Separation of Concerns

    Maxshot enforces a strict separation between optimization logic (Strategy Layer), safety constraints (Risk Layer), and on-chain interactions (Execution Layer). This design ensures that strategy decisions cannot bypass risk controls and that all actions remain auditable.

The first flagship product built on this framework is Maxshot Omni Yield Aggregator, an omni-chain, multi-protocol yield optimization system live across multiple blockchains. Powered by a coordinated network of autonomous agents, the aggregator dynamically allocates capital in real time rather than relying on static strategies or manual rebalancing.

As the agent factory expands, Maxshot is designed to support new on-chain use cases beyond yield optimization, while maintaining strict alignment with protocol risk frameworks and ecosystem incentives.

5. Technical Architecture

Maxshot follows a protocol-agnostic, modular architecture optimized for transparency, security, and auditability. The system consists of three distinct layers:

Strategy Layer

Defines optimization logic and allocation objectives by analyzing real-time market data across Aave and other protocols. It generates allocation recommendations but has no execution authority.

Risk Layer

Acts as the system’s safety guardrail, enforcing predefined constraints such as protocol, asset, and chain exposure limits. Any action that violates these rules is automatically blocked and logged for transparency.

Execution Layer

Handles all on-chain operations, including deposits, withdrawals, and rebalancing. Execution is deterministic and fully auditable, and only proceeds after Risk Layer approval.

This three-layer architecture ensures that strategy optimization, risk management, and execution transparency are never compromised. Each layer operates independently, and no single layer has authority over the entire system. This design reduces the risk of catastrophic failures and ensures that the Aave community retains full visibility and control over Maxshot’s operations.

6. Rationale & Differentiation

Maxshot AI is an AI-native, automation-native financial infrastructure designed to manage and optimize on-chain financial activities.

Unlike traditional yield aggregators that rely on static strategies or manual rebalancing, Maxshot operates as a network of non-discretionary, autonomous agents that continuously evaluate market conditions and execute allocation decisions in real time, strictly within predefined risk constraints and governance-aligned parameters.

Core Advantages

  1. Omni-chain, Multi-protocol Optimization

    Capital is optimized globally across chains and protocols rather than siloed within a single deployment.

  2. Agent-driven (Non-discretionary) Execution

    Deterministic agents execute strategies continuously without human intervention or discretionary decision-making.

  3. Separation of Strategy, Risk, and Execution

    A modular architecture enforces clear boundaries between optimization logic, risk controls, and execution, enhancing security, transparency, and independent auditability.

This architecture allows Maxshot to function not merely as a yield aggregator, but as a general-purpose AI agent platform, where additional agents (such as risk agents, liquidity routing agents, governance-aware execution agents, and protocol-specific strategy agents) can be composed and deployed over time.

7. Live Deployments & Metrics

Maxshot has been live in production since December 2025, and has already attracted meaningful TVL, demonstrating operational readiness and early market validation.

The platform currently manages approximately $9.8M in total TVL across live deployments, including ~$1.8M in the Omni USDC vault. All deployments are fully on-chain and publicly verifiable, reducing the governance and execution risk typically associated with new strategy operators.

Strategy Asset Supported Chains TVL Status
Maxshot Omni USDC USDC Ethereum, Base, Arbitrum, Optimism $1.82M Live
Maxshot Omni USDT0 USDT - - Launching this month

Real-time performance and allocation data are available on the Maxshot dashboard:

https://app.maxshot.ai/#

8. Performance Observations

Maxshot omni-chain vaults prioritize stable, risk-adjusted returns rather than short-term yield maximization.

The Maxshot Omni USDC vault has historically delivered APYs ranging between approximately 2% and 10% over the past month, with a recent 24-hour APY of 7.76%. Performance data is fully transparent and available in real time via the Maxshot application.

Period APY Volatility Max Drawdown
1 Day 7.76% Low 0.00%
7 Day (Est.) 6.82% Low 0.15%
14 Day (Est.) 6.25% Low 0.25%
21 Day (Est.) 6.10% Low 0.35%
30 Day (Est.) 5.07% Low 0.50%

Key Observation:

Maxshot delivers stable, risk-adjusted returns rather than volatile peak yields. The ~5.07% 30-day average APY reflects a sustainable return after accounting for market volatility and rebalancing costs, while low drawdowns indicate effective risk management and controlled concentration.

9. Operational Readiness

Maxshot demonstrates strong operational and compliance readiness through the following factors:

  • Track Record

Maxshot has operated continuously since December 2025, managing real capital across multiple chains and protocols without incidents or user fund losses. The platform has rebalanced through changing market conditions while maintaining stable performance.

  • TVL Experience

With approximately $9.8M in total TVL across live deployments (including ~$1.8M in the Omni USDC vault), Maxshot has demonstrated the ability to manage meaningful capital and validate its infrastructure and risk controls.

  • Technical Capability

Maxshot is built on proven DeFi architecture and continuous monitoring systems, and employs industry-standard security practices including multi-signature controls, timelocks, emergency and pause mechanisms.

  • Operational Duration

Maxshot has been live in production for over one month, providing sufficient operational history to demonstrate system stability, performance consistency, and effective risk management.

10. User & Ecosystem Benefits

For Users

  • One-click access to optimized, omni-chain yield

    Users deposit into a single vault and gain exposure to the best available risk-adjusted yields across supported markets and supported chains, without manually bridging or managing multiple positions.

  • Automated capital rebalancing with reduced operational overhead

    Autonomous agents continuously monitor market conditions and rebalance capital in real time, saving users time, gas costs, and the need for active position management.

  • Transparent, real-time performance visibility

    All allocations, rebalances, and returns are recorded on-chain, allowing users to independently verify performance, fees, and capital deployment at any time.

For DAOs & Institutions

  • Custom or branded strategies with tailored risk profiles

    DAOs and institutions can launch protocol- or treasury-specific strategies with defined risk parameters, allocation constraints, and optimization objectives aligned with their mandates.

  • Treasury-grade reporting and on-chain transparency

    Detailed analytics, allocation breakdowns, and historical transaction records support institutional treasury management, auditability, and compliance requirements.

For the Aave Protocol

  • Increased TVL and user growth

    Lower access friction and automated yield optimization attract new users and capital into Aave markets across multiple networks.

  • Improved capital efficiency across markets

    Dynamic allocation routes liquidity to the most productive pools, reducing idle capital and improving overall utilization rates.

  • Enhanced liquidity stickiness

    Consistent, optimized returns encourage users to retain capital within the ecosystem rather than migrating to competing protocols.

This proposal requests the following from the Aave community:

  • Community review and feedback on Maxshot’s proposed role, design, and alignment within the Aave ecosystem, including any concerns or recommendations from contributors and risk stakeholders.

  • Recognition of Maxshot AI as a complementary, third-party strategy operator, operating on top of Aave without modifying core protocol parameters or competing with native Aave products.

  • Exploration of optional future collaboration opportunities, such as co-marketing initiatives, ecosystem showcases, or joint educational efforts, subject to community interest and further discussion.

11. Formal Requests

Maxshot requests the following from the Aave community:

  • Community review and feedback on Maxshot’s proposed role, design, and alignment within the Aave ecosystem, including any concerns or recommendations from contributors and risk stakeholders.

  • Recognition of Maxshot AI as a complementary, third-party strategy operator, operating on top of Aave without modifying core protocol parameters or competing with native Aave products.

  • Exploration of optional future collaboration opportunities, such as co-marketing initiatives, ecosystem showcases, or joint educational efforts, subject to community interest and further discussion.

12. Risk Assessment

This proposal introduces no direct protocol risk, as:

  • No changes to Aave smart contracts or protocol parameters are requested or required

  • Aave governance retains full control over all protocol operations, risk settings, and upgrade decisions

  • Maxshot interacts with Aave solely as a standard external user, using existing, permissionless interfaces

Any risks specific to Maxshot are isolated from the Aave protocol and are mitigated through a modular system architecture, deterministic and transparent on-chain execution, continuous monitoring and automated safeguards, and the operational experience of the Maxshot team managing live, multi-chain deployments.

13. Community Discussion Topics

We welcome feedback from the Aave community on the following points:

  • The role of AI-driven yield optimizers within the Aave ecosystem, including how automated strategy layers can complement Aave’s core markets while respecting protocol risk frameworks.

  • Desired benchmarks, safeguards, or constraints for recognized strategy operators, such as transparency standards, risk limits, reporting expectations, or operational maturity.

  • Best practices for collaboration between Aave and ecosystem partners, including governance communication, risk disclosures, and ongoing monitoring.

  • Preferences for future integrations or co-branded initiatives, such as ecosystem showcases, educational content, or user-facing integrations that align with Aave’s long-term strategy.

14. Next Steps

Following a community feedback period, the goal is to reach consensus on recognizing Maxshot as an official ecosystem partner. Maxshot remains committed to transparent engagement and ongoing communication with the Aave DAO.

15. Resources & Contacts

For questions, feedback, or collaboration inquiries, please reach out through the following channels: