AI-Powered Discovery Engine
AI-Powered Discovery
Overview
INFINIT's AI-Powered Discovery is the intelligence layer that powers both Prompt-to-DeFi and Agent-Powered Execution. By analyzing wallets, understanding user intent, and processing real-time market data, the discovery engine transforms fragmented DeFi information into personalized, actionable opportunities.
Rather than being a separate product, AI-Powered Discovery is the underlying capability that makes both strategy creation and execution intelligent—surfacing relevant opportunities, understanding user context, and adapting recommendations based on individual portfolios and preferences.
How Discovery Powers Each Feature:
In Agent-Powered Execution: Discovery surfaces pre-built strategies that match user holdings, filters opportunities by risk tolerance, and recommends strategies based on portfolio composition and market conditions.
In Prompt-to-DeFi: Discovery helps users understand what strategies are possible with their assets, suggests protocol combinations based on current yields, and validates strategy ideas against real-time market state.
The same intelligence layer that analyzes "I hold 5 ETH and want 8% yield" to recommend specific strategies also powers the validation when users create custom strategies through prompts.
Core Discovery Capabilities
1. Wallet-Based Personalization
Users connect wallets and INFINIT immediately analyzes actual holdings. This real-time portfolio analysis ensures all suggestions align with current asset allocation and available capital, eliminating irrelevant generic advice.
Key Personalization Features:
Personalized strategy recommendations based on actual holdings, goals, and risk appetite
Portfolio composition analysis and optimization opportunities
Risk tolerance assessment and adaptation over time
Historical activity pattern recognition and preference learning
How It Manifests:
Agent-Powered Execution: Curated strategies are filtered and ranked by compatibility with user portfolios. ETH holders see staking and leveraged opportunities, stablecoin holders see yield farming strategies.
Prompt-to-DeFi: Smart Action suggests protocols and tokens based on connected wallet assets. Strategy templates pre-populate with tokens the user actually holds.
2. Adaptive Intelligence
The adaptive learning system remembers user preferences and conversation history. Each interaction becomes more relevant than the last through continuous learning that refines recommendations based on user feedback, preferred risk levels, and historical strategy selections.
Learning Mechanisms:
Tracks which strategies users view, simulate, and execute
Remembers explicitly stated preferences (risk tolerance, yield targets, chain preferences)
Adapts to implicit signals (avoided protocols, preferred strategy types)
Maintains conversation context for iterative refinement
How It Manifests:
Agent-Powered Execution: Strategy browsing prioritizes types users have executed before. Risk filters automatically adjust based on past selections.
Prompt-to-DeFi: Template suggestions reflect previous custom strategy patterns. Smart Action recommends familiar protocol combinations.
3. Real-Time Market Intelligence
Users gain access to expert-level insights including protocol analysis, social signals, and market intelligence normally reserved for sophisticated traders. This comprehensive market view enables informed decision-making across emerging DeFi opportunities.
Intelligence Sources:
INFINIT Data Stream Integration: The discovery engine is powered by INFINIT Data Stream, which aggregates and processes comprehensive data in real-time:
On-Chain Data: Protocol states, yield rates, liquidity metrics, utilization rates
Off-Chain Data: Social signals, community sentiment, protocol documentation
Market Analytics: Trending strategies, protocol comparisons, risk assessments
The data stream feeds agents with current protocol states, community sentiment, and market analytics to deliver institutional-grade intelligence through accessible recommendations.
How It Manifests:
Agent-Powered Execution: Strategies display real-time APYs, trending badges, and risk indicators. Users see which opportunities are gaining traction.
Prompt-to-DeFi: Simulation uses live liquidity data. Validation warns about paused pools, utilization caps, and current market conditions.
Discovery Use Cases
AI-Powered Discovery supports multiple interaction patterns across both features:
Portfolio Optimization
Query: "I hold 5 ETH and want 8% yield with medium risk"
Discovery Response:
Analyzes current ETH holdings and available liquidity
Filters strategies by stated yield target and risk level
Surfaces liquid staking, leveraged loops, and lending opportunities
Prioritizes strategies matching medium risk criteria
Feature Connection:
Agent-Powered Execution: Presents 3-5 pre-built strategies matching criteria, ranked by fit
Prompt-to-DeFi: Suggests strategy templates that achieve target yield with ETH
Strategy Exploration
Query: "What's trending in DeFi today?"
Discovery Response:
Aggregates social signals and community discussions
Identifies protocols with growing activity and yields
Surfaces emerging opportunities with risk context
Provides execution-ready recommendations
Feature Connection:
Agent-Powered Execution: Shows trending strategies with community adoption metrics
Prompt-to-DeFi: Highlights protocols and actions gaining traction for custom strategies
Risk Assessment
Query: "Is this strategy safe for a conservative investor?"
Discovery Response:
Analyzes strategy components and protocol risks
Evaluates liquidation thresholds and market exposure
Compares risk profile against user's stated tolerance
Provides clear risk breakdown and mitigation options
Feature Connection:
Agent-Powered Execution: Displays risk ratings and warnings before execution preview
Prompt-to-DeFi: Simulation surfaces risks and suggests parameter adjustments
Conversational Interface
The discovery engine operates through natural language conversation, making sophisticated analysis accessible without technical expertise.
Natural Language Understanding:
Users ask questions in plain English without learning DeFi terminology
System interprets intent from conversational context ("I want safe yield" → filters for low-risk strategies)
Handles ambiguous queries with clarifying follow-ups
Progressive Refinement:
Users modify requests through continued conversation
System maintains context across exchanges
Strategies improve iteratively without restarting
Goal-Oriented Dialogue:
Investment objectives communicated through natural dialogue
Risk preferences stated conversationally ("I'm conservative" vs. specifying liquidation ratios)
Preferences saved and applied automatically in future sessions
How Discovery Connects to Features
Discovery creates seamless flow between understanding opportunities and taking action:
Discovery → Agent-Powered Execution
Discovery → Prompt-to-DeFi
Cross-Feature Intelligence
Discovery insights learned in one feature inform the other:
Custom strategies created in Prompt-to-DeFi that perform well → suggested in Agent-Powered Execution
Executed strategies in Agent-Powered Execution → inform protocol suggestions in Prompt-to-DeFi Smart Action
User preferences expressed in either feature → applied consistently across both
Technical Foundation
Multi-LLM Integration: Discovery dynamically routes queries to optimal language models based on complexity and context. Simple portfolio queries use lightweight models for speed, while complex multi-protocol analysis uses advanced reasoning models.
Agent Coordination: Specialized agents contribute to discovery:
Analysis Agents: Process portfolio composition and optimization opportunities
Protocol Agents: Provide real-time yield data and protocol-specific insights
Social Intelligence Agents: Aggregate community signals and trending strategies
Risk Assessment Agents: Evaluate strategy safety and exposure levels
Agentic RAG (Retrieval-Augmented Generation): Discovery agents pull real-time data from INFINIT Data Stream to ensure recommendations reflect current market state. This prevents stale suggestions and maintains accuracy as DeFi conditions evolve.
Privacy & Data Handling
Wallet Connection:
Read-only access to view holdings and transaction history
No ability to execute transactions from discovery alone
Users maintain complete control of when to act on recommendations
Preference Storage:
Conversation history and preferences stored to improve personalization
Data used only to enhance user experience
Users can reset preferences and clear history anytime
Non-Custodial Throughout:
Discovery analyzes holdings without requiring deposits
All insights provided while assets remain in user wallets
Recommendations are suggestions, not automatic execution
Discovery in Action: Example Flows
Example 1: First-Time User
Example 2: Returning User with Preferences
Example 3: Research & Creation Flow
Summary
AI-Powered Discovery is the intelligence layer that makes INFINIT conversational and personalized. Rather than treating it as a separate product to choose from, users experience discovery as the natural way both Prompt-to-DeFi and Agent-Powered Execution understand their needs and surface relevant opportunities.
Every personalized recommendation, every smart default, every contextual suggestion—these all emerge from the same discovery engine working behind both features to make DeFi accessible and intelligent.
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