Using LLMs for DeFi research without trusting their guesses
Build an evidence-first DeFi research workflow: bound the question, verify sources and contract identities, check calculations, and preserve unresolved claims.
LAB CATEGORY / 2 ARTICLES
Useful intelligence. Explicit boundaries.
Understand the difference between AI research, agent execution, and tokens associated with an AI narrative. Build verification habits and define permissions before introducing automation.
Read an AI-generated explanation as a draft for investigation. Read an agent action as a proposed transaction with real permissions. The articles here connect those two responsibilities: checking claims against primary material, and making sure software can do only what you deliberately allow.
Build an evidence-first DeFi research workflow: bound the question, verify sources and contract identities, check calculations, and preserve unresolved claims.
Design a bounded DeFi agent workflow with explicit spending permissions, transaction review, session limits, revocation, and practical tests before automation.
Build the broader context with the DeFi fundamentals guide or explore every topic.