AUTOMATING CRYPTO RESEARCH WITH AI

Summary from the TLDR Crypto newsletter

It is possible to build an AI-augmented crypto research workflow using three layers: signal detection (Lookonchain, Nansen smart money alerts), context investigation (Arkham wallet mapping, Dune SQL queries with AI-generated queries), and LLM synthesis (Claude for deep analysis over large data sets, Perplexity for cited sources). The system reduces daily research from 4+ hours to ~30 minutes through structured prompt templates for protocol deep dives, wallet behavior analysis, and narrative-vs-reality checks. Expert tips include never trusting AI outputs blindly, using AI for research rather than execution speed, and matching tools to tasks based on context window capabilities.