Recently, I spent a week experimenting with the Gemini and Opal combination, and honestly, the experience was quite surprising. The biggest feeling can be summed up in one word:爽. The days of manually flipping whitepapers and analyzing data line by line are truly museum-worthy now.

What’s the core point? The usage barrier for AI Agent has completely disappeared. No need to write code, no need to configure complex parameters—you can create a research and investment robot effortlessly.

To put it simply, Gemini now functions like a "visual programming" version of n8n. I feed it my entire investment research framework (token screening, fundamental analysis, on-chain data benchmarking, risk scoring), and it can automatically process project information in batches and generate research reports.

The most practical benefit is saving time. Projects that used to take half a day to analyze thoroughly can now be handed over to the robot and completed in just a few minutes. The data accuracy is also quite good, at least at the basic indicator level.

Of course, final investment decisions still require your own judgment. AI just frees you from repetitive work, allowing you to focus your energy on the truly critical areas that require judgment.