"Gemini is a research assistant for summarizing data and analyzing text, not a financial adviser for predicting prices. The quality of your research output depends entirely on the specificity and structure of your prompts. A repeatable workflow involves deconstructing a project's fundamentals, analyzing its economics and mapping its competitive landscape. Always verify AI-generated information with primary sources like official websites, white papers and blockchain explorers. Proper setup and operational security are crucial, especially when using API keys to connect to external data."
"As a language model, it makes the noise easier to filter and the insights easier to use. What can Gemini do for crypto research? The primary role of Gemini in an investor's toolkit is to serve as a co-pilot, helping process and structure large volumes of information so the focus stays on higher-level analysis and decision-making. This isn't about replacing human intellect with artificial intelligence, but augmenting it."
Gemini functions as a research assistant that summarizes data and analyzes text, not a financial adviser or price predictor. Research quality depends on prompt specificity and structure. A repeatable workflow includes deconstructing project fundamentals, analyzing token economics, and mapping competitive landscapes. Always verify AI-generated information against primary sources such as official websites, white papers, and blockchain explorers. Proper setup and operational security are essential, especially when using API keys. Structured, specialist-like prompts produce substantive results, while generic prompts yield generic output. Gemini augments human analysis by filtering noise and synthesizing insights, but it cannot replace independent verification or real-time price data.
Read at cointelegraph.com
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