Research thread
Map the systems underneath the interface.
A digital-asset strategy can depend on networks, contracts, validators, administrators, data sources, or off-chain service providers. Different interfaces may share those same components. These articles help identify the dependencies hidden by a simple product label.
Start with the asset or claim received and work backward through the system. Then trace the exit in reverse. Label information flows separately from asset movements, and keep unverified relationships visible. An infrastructure thesis should explain who pays, which service is delivered, and how the proposed exposure is connected.
Start with the network closest to your research topic. Add the Web3 map to identify shared dependencies, then use the AI framework to test the distinction between technical activity and economic value.
Connected reading
Connect the real task, evaluation evidence, business model, token role, and fund structure before trusting an AI investment narrative.
Read the guide : AI Crypto Fund Research: Prove the Product-to-Token Link
Trace the ownership chain from ETH to pooled staking and tradeable receipts, with separate questions for costs, control, and redemption.
Read the guide : Ethereum Exposure: ETH, Pooled Staking, and Liquid Receipts
Look past different app names to the shared contracts, bridges, collateral, administrators, and exit channels underneath.
Read the guide : Web3 Fund Research: Build a Dependency Map
Distinguish SOL exposure, delegation, liquid staking, and application economics with a mechanism-first research checklist.
Read the guide : Solana Fund Research: Look Beyond the Staking Rate