Recently, I've seen many people complaining about participating in @PerleLabs development, only to find themselves ineligible.

Actually, projects like @PerleLabs have long stopped simply relying on "multiple accounts, frequent brushing, running more tasks." What they truly value is not how many times you clicked buttons, but whether your behavior conforms to normal user patterns.

Projects focus on examining:
- Whether you consistently use the same account over time;
- Whether your operational behavior is coherent and natural;
- Whether you're genuinely participating in the community, rather than mechanically repeating actions.

This is precisely why seemingly counterintuitive phenomena occur: some people with high-frequency operations get filtered out, while others with fewer participation instances but genuine, substantive behavior pass smoothly.

Many are frustrated by this, believing they've been "reverse-farmed." But thinking from another angle—if projects don't effectively filter out farming behavior and end up distributing massive rewards to script accounts, what long-term value would that project's token have?

Ultimately, for many AI projects today, competitive advantage lies in data quality. If the data source itself is "dirty data" created through brushing, all subsequent development will lose its foundation.

@PerleLabs would rather over-filter some users and firmly enhance overall data quality—this approach deserves understanding.

The good news is that projects aren't taking an all-or-nothing approach. Appeal channels are currently open, and community activities continue providing opportunities—essentially giving users a second chance to prove they're genuine participants.

Additionally, distributing rewards in stablecoin form reflects a degree of sincerity. Compared to many projects "painting big pictures," directly honoring with stablecoins at least avoids empty promises.

My current assessment is straightforward: the future development potential of such projects doesn't depend on how many rewards were distributed short-term, but rather on whether the accumulated data is clean, genuine, and high-quality.

If you still approach it with traditional "airdrop farming" mentality, you'll likely find it increasingly exhausting; but if you treat it as long-term, valuable community participation, you'll be more at ease.

In the final analysis, it's not about "how much you did," but rather "how much you act like a genuine Web3 user."

#PerleAI # ToPerle @PerleLabs
Participating in @PerleLabs Community Campaign