# 4.1 Short-term: AI Agent & Protocol Copilot

Initially, DOR starts as a meta-market infrastructure deployed on the BNB Chain.

The core task at this point is not just "good design" but "safely operated design," for which an AI-based operation layer is introduced.

* Introduction of AI-based Yield & Distribution Controller
  * Builds an AI Liquidity & Yield Agent that monitors yield/risk distributions generated in HLP, parametric AMO, and synthetic yield layers and readjusts time slots, transaction rounds, and band widths via non-linear optimization.
  * As presented in the MEMFi draft, this agent prevents Hallucination Loops and inherits the structure of converging to target distributions via Meta-Cognitive Triangulation.
* Parametric Copilot
  * Receives state variables such as oracle reliability, σ (short-term volatility), inflow/outflow flow, and σ\_sup (stabilization coefficient) as input, and adjusts swap contribution fees, band widths, MSP/RP minimum maintenance ratios, and MOP/SOP/IRP weights within HLP at a Recommendation level.
  * On-chain, the AI does not directly touch contracts but is designed to reflect changes through a 3-step loop: "Proposal → Governance Approval → Parameter Reflection.".
* Gradual Expansion of Operational Scope
  * Starts with reporting/dashboard types (Risk Monitor → Parameter Suggestions) and gradually expands to allow Semi-autonomous Mode for some parameters (e.g., daily contribution fee ranges, band fine-tuning).
  * The goal at this stage is not "making money with AI" but closer to "keeping meme market volatility within a controllable range using AI.".


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