Remember that wave of ETH’s plunge? From 2300 all the way down to 1400, the whole screen was filled with calls of “Ethereum is dead.”

Back then, I did something crazy — starting at 2300, I kept throwing in money, adding to my position with each dip, literally bringing my average cost down to 1600. When the market recovered, I was sitting on a paper profit of 200,000 USDT.

Looking back now, was the bottom something I calculated? No, I just held on stubbornly. But what happened after I endured?

That’s the point I want to emphasize: after finally catching a trend, what’s the next step? Should I keep clutching the candlestick chart as my blood pressure soars, or find a place where my money can grow on its own?

I chose the latter.

So while others are still losing sleep over ETH’s rise and fall, I’ve already moved some profits into another track — the underlying infrastructure of the AI agent economy. For example, the project I’ve been examining recently specializes in building the foundational infrastructure for AI agents.

Why not continue to go all-in on volatile assets?

Yes, I made a profit from that ETH move, but the process was too torturous:
- Constantly filtering market noise and suppressing panic
- Slight misjudgment in re-adding positions could lead to floating losses that drive you crazy
- Several months of sideways movement test your psychological endurance

This approach can’t be copied, let alone scaled. Human energy and time are limited; it’s impossible to hit the right rhythm every time.

So I started to think: is there a model where I don’t have to stare at the screen every day, yet my assets can grow exponentially on their own? Relying not on quick reflexes or luck, but on protocol mechanisms and the natural drivers of ecological expansion.

The project I see now operates exactly this way — making AI do the work and earn money for you, building an “automatic income system.”

Why am I now heavily betting on this direction?