2026-01-06 09:28:58

In 2025, our guiding principle is to work diligently without making loud slogans, without making unrealistic predictions, and without trying to boost presence in the community. In an industry that survives on trending topics, we chose the most disadvantageous approach: less talk, more work, and let the results speak for themselves.

Regarding this year's iterations, on the surface, it’s about launching a few new features, but the real key lies in the changes to the underlying logic. APRO has evolved from a seemingly reliable concept into a truly dependable tool that developers can carry in their pockets. The origin was quite simple: as AI agents become more autonomous and require cross-domain collaboration, the importance of secure communication becomes as critical as data quality itself. Without a strict communication standard, collaboration between AI agents will inevitably fail. So, we developed a standard specifically for secure communication among AI agents in untrusted environments. This isn’t about grabbing attention; it’s a genuine market need.

Around the same time, we moved the AI oracle from the lab into production. This isn’t a flashy demo system; it’s a real productivity tool capable of handling millions of real-time queries and supporting hundreds of operational AI agents making immediate decisions. This process taught us a hard truth: the data AI relies on must meet three conditions—accuracy, usability, and traceability. Even a tiny deviation can be amplified during operation and may eventually lead to serious issues.

As more users adopt it, we’ve gradually understood the true demands of developers. They don’t want a rigid, dogmatic product but a sufficiently flexible tool. This feedback has driven continuous iteration of APRO.

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MetaverseHobo

· 01-07 19:24

Stop talking nonsense and just get to work. I love this approach. The communication security of AI agents is indeed an underestimated need. The issue of data bias amplification hits home; production environments are so ruthless. It sounds like APRO's upgrade really put in effort. Instead of creating hype, it's better to produce results—that's the right way.

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CoconutWaterBoy

· 01-07 11:30

I prefer the hard work and dedication approach, much more reliable than those who just shout every day. --- Data accuracy, usability, and traceability—these are the three essentials. If these are in place, everything else is pointless. --- Not blowing smoke or criticizing—actually moving things into the production environment is pretty hardcore. Anyone can operate the demo system. --- Developers need flexible tools, not dogmatic products. That really hits home. --- Less talk and more building—this approach may be at a disadvantage in this circle, but in the long run, it's worth it. --- Secure communication standards are indeed a must-have. Without this, AI agent collaboration is bound to fail sooner or later. --- Tired of all kinds of predictions and slogans—just want to see who’s really getting things done. --- The problem of data bias being amplified infinitely—most projects haven't even thought about this. --- Being able to handle millions of queries from lab to production environment—this isn't just hype.

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MEVHunterLucky

· 01-07 10:50

Working diligently without fussing around is indeed rare in this circle. No hype, just focusing on building things—admittedly, that's much more reliable than projects that just shout slogans every day. When it comes to data accuracy, even a small deviation can cause a big problem, and that's no exaggeration. I've seen too many demo systems that look impressive but fail once they go into production. This time, it's a real testament to the developers. The only concern is that as the user base grows, the original intention might get worn down...

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Gm_Gn_Merchant

· 01-06 09:56

That's right. Truly committed projects never rely on just talk. Refining the product step by step, this is long-termism. AI agent secure communication is indeed a bottleneck; if done well, it can dominate the entire ecosystem. I agree with the point about data accuracy; even a slight deviation can snowball. Watching the quiet accumulation, one day when you look back, you might already be far ahead. It's rare these days to see a team willing to give up popularity to focus on building real work.

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PortfolioAlert

· 01-06 09:52

This is the right approach—talk less, do more, and results are the best spokesperson. In this world full of slogans, this kind of clarity is truly needed. I’d like to see how the data accuracy and traceability actually perform when implemented. There are too many daydreamers; landing a product is half the battle. However, having flexible tools is indeed what developers need most. No matter how good a rigid product is, it’s useless. Being reliable is the key to long-term success. Those exaggerated claims before didn’t amount to much.

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MEVSupportGroup

· 01-06 09:52

Alright, this time is indeed a bit different. No hype, just getting things done. Less talk, more action—this approach does seem a bit out of place in this circle, but maybe that's why it's more trustworthy. The point about precise and traceable data is spot on; there's no room for error on the chain.

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ProposalDetective

· 01-06 09:48

This is the right attitude of getting things done, much more reliable than those who shout slogans and boast every day. The security communication standards are indeed a hard requirement; AI collaboration can't handle this, and problems will eventually arise. The painful lesson of data accuracy— even a tiny deviation can lead to major issues in the end. Moving laboratory solutions into the production environment— this step was executed beautifully. Not all teams dare to do this. Working diligently in silence— this approach is almost counterproductive in Web3, but it seems like the only way to truly survive. Less nonsense, more work— this phrase should be engraved in your mind. Too many projects do the opposite.

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HodlOrRegret

· 01-06 09:47

This is the real deal, no empty talk. Once it's truly done, then we'll speak.

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CryptoGoldmine

· 01-06 09:45

Millions of queries can be handled steadily, indicating that the underlying architecture can truly withstand pressure. This is genuine production-level capability. Stop bragging and start working. This logic is more solid in terms of ROI across any track.

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AirdropHunterWang

· 01-06 09:45

Less shouting slogans and more doing. This attitude is indeed rare in the crypto world. Most projects are still just talking nonsense. --- When it comes to secure communication with AI agents, it really has to be solid. Once a bug occurs in collaboration, the production environment will crash immediately. --- Can it handle millions of queries? What kind of testing volume is needed to ensure stability in the production environment? --- Reliable tools are more valuable than loud slogans—that's the principle. --- Developers want enough flexibility; don’t give me a bunch of restrictive conditions. --- Moving from the lab to the production environment is quite difficult. Is the failure rate high this time?

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