James-William

What is subtly but profoundly occurring around APRO is not an episode of hype cycles but the shift from experimentatory phases to dependence phases. More applications are no longer proof-of-concepts involving oracle assumptions but constructing upon them, which fundamentally affects the whole system interaction dynamics. With the shift from expected-to-optional status to expected status, what was previously a discussion of potential turns into a discussion of responsibility. In this phase, APRO is experiencing what it means to be relied upon, not once but always, not in ideal settings but in least-ideal settings.
Where APRO is unique in this regard is in realizing that data is not something that is simply a fixed input, but a dynamic factor that helps determine outcomes. In a decentralized framework, minor errors do not remain minor. They magnify exponentially as a result of automation, investment, and velocity. But what makes the difference in how APRO deals with this is if its mindset is imbued with a need for containment, not necessarily perfection. This is not designing systems that simply work because they assume the world is a clean place.
The point of AI-assisted validation in the APRO system is not to substitute judgment with models but to introduce structure exactly where chaos normally enters the system. The way information in reality gets presented is not in clean numerical form but through reports, feeds, events, and signals, which are mutually contradictory. The APRO system tries to make sense out of this chaos in a way that contract systems can responsibly digest. The system helps in filtering out potential anomalies before they go into the chain, so as to avoid the possibility of one wrong message causing havoc, which could have severe financial implications in Web3 domains such as real-world assets, prediction markets, and agents.
The other defining characteristic is that APRO views oracles less like authorities with infallible answers and more like people who are aware of risks when contributing to decision-making processes. This is important because, when you consider that oracle outputs represent absolute truths, you quickly respond. However, when you look at data that is possibly verified and not absolute, you would naturally respond slowly to that data. This is one aspect that APRO promotes through its design and helps to improve resilience in apps that sit on top of such systems.
The economic layer enforces the same principles. The token is necessary to incentivize contributions to accuracy, uptime, and long-term engagement. People are rewarded for doing well and punished for doing poorly when it comes to behavior that undermines integrity. Network utilization increases based on actual use rather than the power of storytelling. The governance enables urgent voices to be heard in shaping future standards, thereby creating an environment where trust and responsibility can build together. Such an alignment does not always create short-term buzz but is just what sustains infrastructure from one market cycle to the other.
As Web3 advances towards more substantial applications, the demands for data layers will increase significantly. Self-executing agents will operate persistently without the need for human intervention. Assets represented by tokens will require proof rather than mere claim. The market would demand resolution mechanisms that appear reasonable despite disputed results. Within such a future, oracles that rely solely upon speed or geographic reach would find it difficult. The successful systems would be those that understand consequences and are designed with minimizing said consequences during misbehavior by reality. APRO appears optimized for the future because it does not ignore uncertainty.
Ultimately, what makes good infrastructure infrastructural, rather than visible, is its reliability. When things just work when they need to, in uncertain times, people feel relieved, even if they don’t know why. Builders deploy faster because they believe in the foundation they’ve laid. Ecologies expand without backbone-snapping cracks. APRO is beginning to prove its worth by simply verifying, and holding back. It doesn’t seek to command the stage. It wants to prove itself necessary. In a space where so many problems can be traced back not to bad code, but to bad input, this may prove to be the most significant shift the Web3 offers.
$AT #APRO @APRO Oracle

There exists a dawning awareness on behalf of Web3 to look at that while faster block times and bigger stories will play little to no part in this next expansion, systems that can communicate with reality safely and soundly will be what gets things moving. As automated machines with logic that can be perfectly executed at any scale, these things are utterly reliant on what they are being told. This is where matters come to a head for that of oracle solutions and their implications on this new landscape, entering less on behalf of a supporting apparatus and much more on behalf of a defining characteristic for this new ecosystem that is being formed. This is exactly where APRO is poised to enter this new landscape.
The problem with traditional oracle solutions has become more apparent as applications have developed. “Simple pricing feeds were sufficient in the early days of DeFi, when it was all about swap and simple lending primitives. But the web has shifted to include real-world assets, complex derivative contracts, prediction markets, gaming economies, and autonomous agents that operate 24/7 without human monitoring. These systems require more than just a number. They demand that number to be credible, that it’s come from well-reasoned processes, and that it will remain true when things around it become messy.” APRO functions from the premise that data is not clean. Data is instead messy, stale, biased, and/or conflicting. Presenting it that way is one of the biggest “hidden risks in web3,” Serebok writes.
APRO addresses this issue through the consideration of data as a sort of information that must be processed, vetted, and earned before it gets a chance to impact the valuation chain. The information is gathered not from one reference point but from various sources. The information is standardized so it can be measured as opposed to being taken as information in isolation. The use of AI-assisted tools helps in the evaluation of credibility scores, flagging of anomalies, as well as pointing out information that may go past without being detected. The objective here is not perfection but the establishment of a system through which inaccuracies are less likely to occur.
The transition, then, from raw data toverified intelligence, is a subtle but revolutionary one. It recognizes a truism: real-world events rarely produce a clean result to be reduced to a single number. Prices vary by market, reports are updated, headlines contradict each other, and timing can make a difference. Such a oracle, content to simply put forward the first available result, is highly brittle under such circumstances. A oracle that tries to make sense of context and consistency is, by contrast, much more robust. APRO is obviously the second kind.
However, as autonomous agents become an element of the system, the need for such oracles grows. Agent decisions will be made constantly. Sometimes, an agent will have more than one interaction with a protocol or respond to a signal from the outside world. This is not a single error. Instead, a bad signal will initiate a series of responses. Each response will increase the error margin systemically. This creates a system where oracles are no longer a mere source of data. Instead, the system demands active safety systems. An AI native oracle that provides structured responses with a confidence level and verification rules will become a safety net. This functionality will seamlessly integrate with the role that APRO provides.
Another aspect of the APRO system is the way in which it balances the need for off-chain processing of intelligence with the need for accountability that only the blockchain can provide. The heavy lifting and aggregation take place off chain in a way that is flexible. The validation and delivery take place on chain where the results can be checked and traced. Such an approach enables the system to scale with integrity intact. At the end of the day, it is this that will enable the growth of infrastructure even as trust is sustained.
The economics layer further strengthens these tenets. The role of the APRO token is not that of a speculative focus but is a behavior-enforcement tool. The oracle operators have to stake value in order to be a part of it, and that itself ALTERS the economics of acting dishonestly. Being a nuisance or producing detrimental data is not just a technical misstep anymore but an economically suboptimal one. The punishment system does not promote cutting corners, and the reward system is based on steady performance.
What makes this alignment particularly strong is that incentives are tied to demand rather than inflation. With increased app usage of APRO for truthful information, usage and incentives increase organically. What governance brings to this model is that long-term contributors get to shape how the network is to be built. Addition to feeds, standards of verification, and pricing are no longer in the domain of a central controlling authority but are shaped by those who have skin in the game. This inculcates a sense of ownership in them and less of exploitation.
This kind of infrastructure becomes all the more relevant in the context of integrating real-world assets. The RWAs bring with them an element of accountability, which off-chain assets can’t even hope to attain. The RWAs' claims with respect to reserves, valuation, returns, as well as their adherence to norms, have to hold good under scrutiny. Simple statements of their marketing claims won’t suffice. An oracle infrastructure that takes verifications as their prime focus, as opposed to afterthoughts, will prove integral to this ecosystem. The focus of APRO on verification and audit trails makes it better suited to this reality. It doesn’t claim to nullify the risk but instead treats it in a clear and observable manner.
The same is true with prediction markets and outcome-based systems. “The most difficult aspect of these kinds of applications is not placing bets, but finding outcomes that people will accept as legitimate." If the determination of an outcome needs only one source or an intermediary, trust is easily lost. Having multiple sources and being verifiable helps alleviate this problem. This architecture of APRO satisfies this requirement because it gathers truth rather than asserting it, which is an important aspect concerning the growth of these prediction markets in size and influence.
There is also the broader system effect created by this paradigm. Because the oracle is more sound, the developers are free to work on designing products instead of mitigating data risk. Because there are fewer inexplicable failures for users, there is greater confidence, and therefore more participation. Because markets function in more predictable ways, even when distressed, the capital stays rather than leaving when there is trouble. All these add up in the background in creating an ever healthier system without having to market it constantly.
One of the interesting things about the APRO approach is the deliberate absence of grandeur in its strategy. There is nothing here that aims to break down the problem into something simple or guarantee infallibility. Rather, there seems to be an awareness of the complexities of the world and the need for systems to deal with those complexities in a responsible way. It has to be said that this is much more aligned to the approach of financial and technological systems for critical infrastructure. Speed has to be subordinate to redundancy, verification, and accountability, and this has typically had little value in the Web3 space, which prides itself on all things new and exciting.
As the DeFi space continues to mature, as RWAs transition to the blockchain, or as autonomous agents begin to act in meaningful ways, the effects of low-quality data will only accelerate and worsen. These outcomes will likely be observable and thus more costly. In such an environment, oracles that function well in optimized settings will fare poorly, but those that function in uncertain settings will succeed. APRO is obviously taking the second option.
The long-term worth of such a strategy will not be determined by a passing interest but by survival factors in stress cycles. It takes time for infrastructure to build its reputation because it does its work well in times of low demand. If APRO also continues doing its work even in such times, it will become a thing that people use without even realizing it, and there is nothing better than that for any infrastructure.
Ultimately, the long-term viability of Web3 has a lot to do with smart contracts' ability to engage reliably with the real world. This requires more than mere feeds. This requires intelligence, validation, and reward systems through which accuracy trumps speed. This is precisely what APRO has achieved through its AI-native oracle design. This design translates raw information into something useful, not just something available. This design rewards economic systems for accuracy, not for euphoria. And it establishes trust by design, not by promise. It has been executing its vision successfully, meaning APRO will enable, but not drive, the underlying dynamics of DeFi, RWAs, and autonomous agents.
@APRO Oracle $AT #APRO

Something is happening in Web3 that people notice only when it breaks. It shows up in moments of chaos when markets change too quickly, when prices are in disagreement across different markets, when markets become less liquid, or when machines are forced to make decisions based on incomplete information. That’s when attention tends to land on smart contracts or blockchains or some issue related to protocols when, in fact, the hot spot lies below all of them. That spot is called “data.” APRO has emerged as one of the rare ones that is founded on an appreciation that “data” is more of an “input” and “responsibility” and that “trust” should be proven during times of “chaos” and not during peaceful times. That’s why APRO feels different and why it’s different because “APRO doesn’t aim to provide faster or more comprehensive data in and of itself.”
Blockchains are deterministic systems. They run code in a straightforward fashion with no interpretation or context. It is both the greatest advantage and greatest weakness of blockchains. A smart contract is activated with a data point and doesn’t consider where this data is from or what degree of confidence it can be accepted with. It doesn’t ponder the plausibility of the provided information or the peculiarity of the given data. It simply reacts. The decision’s quality will be the quality of the input from now on. The past few years in the industry have been the school of hard knocks in understanding this. Cascading liquidations because of outdated prices, imbalanced prediction markets due to subpar sources of data, gamed systems that fall victim to predictable unpredictability in their random number generators, and the validity of the claim of a real-world asset that reduces to the assertions that can’t be or haven’t been verified. There is no “outlier” anymore. Only “stress.” APRO is right in the cross-hairs of this issue and doesn’t disguise the problem but focuses on redesigning it.
The genius of APRO is, in essence, that oracle attacks are not merely issues of speed. They are issues of disagreement, manipulation, and noise. In stable markets, many oracle feeds appear trustworthy because many sources agree. Under duress, these same sources will differ, latency will grow, incentives will change, and malicious activity becomes more appealing. An honest oracle service has to model stress, and not stability, as the norm. The APRO solution is to decouple oracle data collection from oracle data finalization. Data is collected, then verified for anomalies before it ever reaches the smart contract. This is more than window dressing. It lessens the risk for malicious data or manipulation, in unison, lingering to instantly affect the on-chain consequences.
What makes this approach so powerful is not only filtering errors but also influencing behavior. Oracle maintainers are motivated to emphasize accuracy, availability, and reliability because the system encourages such behavior. This fundamentally shifts the economic consequences of speed to accuracy in conditions where accuracy has priority. In high volatility conditions, such subtlety makes a world of difference. It goes without saying that a slightly delayed but properly validated update may sometimes be more prudent than a quick feed of amplified noise. APRO openly recognizes this tension rather than simply choosing to ignore it.
There is another strength that comes from delivery in APRO. Not all applications need the same kind of relation to the information. Some need the kind of awareness that will enable risk and automated action to be carried out effectively. Others need information at the point of decision and may not need all updates. APRO provides the opportunity for all this to happen. Indeed, it does all these by carrying out updates and also by responding to requests for information whenever the need arises. Developers will be able to create products based on the kind of use they will experience. There will also be less network congestion and cost inefficiencies that come from the blind distribution of information.
This is a design decision that has larger implications for the ecosystem at large. As long as customizable data delivery is available, apps can be much more robust. They can handle gas prices much better, and markets will be less volatile. As a result, markets will remain stable even in times of turmoil, and this is what constitutes relief. This is actually what excitement is all about – relief.
In respect to robustness, APRO stands apart with its breadth without loss of discipline. It is quite easy to tout support for multiple types of data, but not so easy with an eye to robust verification standards across the board. In fact, APRO covers not only crypto prices but also stocks, commodities, real estate data, gaming outcomes, sport outcomes, resolution of predictions, and verifiable randomness. These each have their own set of problems, sources, and ways of failing. It would be mistaken to consider these all as mere numeric datasets. While APRO considers these as data streams, they need context, checks, and verification efforts.
This is vitally important to the trajectory of Web3 going forward. The more real-world assets go on chain, the less innovative tokenization mechanics are as a problem in their own right, and now credibility about the underlying truth is. An asset or yield token is only as reliable as the information that describes what assets, value, and terms underlie it. Where controversy erupts, communities want evidence, not hype. Having an oracle network capable of processing various data sets, and offering results that can be verified, made auditable, and repeatable, is what has now become imperative as opposed to niceties. APRO is obviously living in this reality as opposed to focusing purely within DeFi boundaries.
The level at which APRO does business supports this level of positioning. The fact that it supports over forty blockchains is more than just a soundbite as a marketing point. It represents the knowledge that liquidity, users, and risk are not siloed, but instead happen at varying levels of intensity across each chain. Applications are no longer siloed to a chain, but instead operate in a variety of environments, making varying assumptions, and at times needing to agree upon common data in order to operate correctly. APRO does this by providing the same trusted outcomes, regardless of chain.
This cross-chain consistency becomes even more significant during stressed markets. When assets are interconnected, exchanged, or linked across chains, inconsistencies may emerge, creating arbitrage scenarios that adversely affect users. By providing a unified layer of oracles, inconsistencies are mitigated, and markets will have a better chance to realign with the truth. Eventually, this will provide a better chance for normalized price discovery and avert unrealistic price dislocations.
Secondly, another aspect that is not frequently highlighted about APRO is that it considers randomness. Many times, randomness is very important in gaming, NFTs, lotteries, and governance. However, many times, randomness is not proven or verifiable to the user. When randomness can be predicted and controlled, it can affect the user immediately if it is uncovered. APRO combines randomness that is verifiable and has validation that is clear to the user, and it can be used by programmers to create systems that have verifiable results rather than just assuming them.
The token role in this system also carries this same ideology. It is not seen as a speculative art piece but for coordination. The stake is what secures the network, incentivizes good behavior, and also provides a strong economic signal for trustworthiness. The governance also enables people within this network to shape the future of this system, determine what feeds get prioritized, and also adjust reward schedules. There is a feedback loop where long-term usage determines value, not short-term interest.
For traders and users, the advantages are imperceptible but real. Positions will be more predictable, liquidations will be for the right reasons, and unexpected anomalies will be less likely. For developers, it is confidence. Confidence to launch on multiple chains without rebuilding those parts of the system that will buckle under load, confidence in handling increased volume, and confidence that data entry will not sabotage months of work just when it matters most. For the community as a whole, it represents an evolution from toy networks to robust infrastructure.
What is so appealing about APRO is that it does not have any extra noise. In a world that is story-driven and has a quick turnaround, things that are implementation-focused often fly under the radar until they are no longer optional. Such is the case with infrastructure. Trust is slowly earned, it humming along during stress tests, until it becomes a part of what is considered indispensable. When it breaks down, it is a drastic reaction. When it is working properly, it is nothing more than a background thing. This is what APRO is working towards.
However, there are natural risks as well. A lack of adoption could result if more robust tools are not available. The robustness of governance, or lack thereof, could be placed under pressure as adoption increases. Competition could limit profitability or cause attention to be splintered rather than focused, depending on the industry involved. Indeed, no system can reduce risk to zero. The true test is a protocol's performance under adversity, as assumptions are proven false.
APRO does not purport to achieve a flawless system. Rather, it offers a system with a structured methodology, a verification process, and rewards to effectively mitigate, rather than ignoring, a conflict of ideas. Such candor is a true
As Web 3 grows into areas such as prediction markets, self-driving agents, synthetic markets, and links with reality, the need for accurate data is going to skyrocket. Agents driven by AI will need to be fed data they can trust and believe in. This is not going to be mere figures; they need to believe in something with context and assurance. The markets will need to adopt resolution algorithms that can be trusted by communities to be fair.
APRO is a point of convergence of these forces. It is not redefining Web3 in the ideology of slogans but in the competence of back-story actions. It provides a more comprehensive world perception to the worlds of blockchains. It is not in making the world simpler but putting it in order. It makes it possible for smart contracts to be less guesswork about reality and people to engage in a less stressful world. The effect of this kind of dependability multiplies over time. EVERYTHING
“The most important indication of success will not be news headlines, but habits. constructors automatically choosing APRO. users living in stable markets without even realizing why. systems growing without worrying about invisible faults. At which point the infrastructure becomes an element of the foundation, rather than the discussion itself.”
APRO is slowly but surely working in this fashion. It is becoming "the data layer that asks for nothing but deserves trust." In a realm where all too often excitement quickly turns to dust, being reliable may prove to be the most precious commodity of all. Web3, if it hopes to facilitate meaningful capital, deep automation, and true world integration, must have infrastructure that hums in the background. APRO is poised to provide just that.
@APRO Oracle $AT #APRO

I contratti intelligenti hanno cambiato il modo in cui si muove il valore, ma non hanno cambiato una limitazione di base: le blockchain non possono comprendere il mondo da sole. Non possono leggere rapporti, confrontare fonti in conflitto, giudicare la credibilità o rilevare manipolazioni. Eseguono la logica perfettamente, ma solo quando l'input è corretto. Per la maggior parte, mentre Web3 si espanderà in sistemi guidati dall'IA, beni del mondo reale, agenti automatizzati e finanza basata su eventi, questa limitazione sarà il collo di bottiglia più grande. APRO esiste perché questo divario non può più essere ignorato e perché la prossima fase di decentralizzazione dipende dalla trasformazione delle informazioni grezze in qualcosa su cui le macchine possono agire in modo sicuro.

Ogni generazione nell'industria della crittografia è caratterizzata da una reazione a catena di progetti che inondano il mercato mentre solo pochi lavorano silenziosamente sullo sfondo per fornire soluzioni per le quali l'intero settore non può funzionare. L'affidabilità dei dati è uno di questi problemi. L'applicazione Web3 si basa sulla decentralizzazione e sull'apertura, eppure una mancanza di buoni dati che entrano nei contratti intelligenti mina immediatamente questa idea. APRO sta appena iniziando a colmare questo divario come un'infrastruttura oracle a lungo termine per supportare l'economia decentralizzata.

“Web3 è uno spazio che si sta rapidamente maturando, dove la novità non è più utile come le soluzioni collaudate nel tempo. I primi anni di Web3 saranno ricordati per la sperimentazione che i contratti intelligenti potessero logicamente operare senza interferenze di terzi, che le reti potessero funzionare in modo tale che il valore fosse coordinato a un livello massiccio. Quell'era ha esposto un livello di dipendenza che ha sorpreso molti dei costruttori in questo spazio. Tutto ciò conta poco perché nessuna soluzione decentralizzata opera da sola. Ogni applicazione funzionale è necessariamente contingente su informazioni che sono al di fuori della catena, ed è nel momento in cui quelle informazioni si rompono che la catena stessa non è più solida. L'attuale livello di disfunzione per le applicazioni Web3 non è dovuto a un codice difettoso, ma a un input difettoso. E un input difettoso, sia esso ritardato o volutamente problematico, è un evento che non solo interrompe ma ha anche l'effetto netto di drenare, liquidità, manipolare e indebolire la fiducia per sempre. APRO si basa sulla comprensione che Web3, per tutta la sua eccitazione, richiede questa soluzione sotto il radar piuttosto che sopra di esso."

Ogni applicazione blockchain interessante si imbatte nello stesso ostacolo impenetrabile. I contratti intelligenti descrivono macchine determinate, che possono elaborare solo ciò di cui sono certi, ma il mondo in cui accadono cose di reale valore è necessariamente off chain. I prezzi si aggiornano ogni secondo, le cose accadono nei mercati, la casualità decide l'esito e gli asset reali hanno stati che non possono essere rilevati da alcuna catena. Da qui inizia l'abisso tra il mondo on chain e il mondo off chain, dove la fiducia viene o costruita o distrutta. Gli oracoli esistono nella regione dell'abisso e la loro qualità è ciò che determina silenziosamente se un'applicazione appare robusta o fragile. La storia ha già dimostrato cosa succede quando i dati negli oracoli vanno storti: le liquidazioni si accumulano, i mercati si congelano, i giochi diventano ingiusti e la fiducia svanisce. APRO comprende il ruolo del livello degli oracoli: non è un livello di supporto ma un livello di fondazione, e il futuro del Web3 ha tutto a che fare con trovare un modo per rendere l'integrità un livello fondamentale, non qualcosa aggiunto successivamente.

Con questi sviluppi nella tecnologia blockchain, piuttosto che miglioramenti nella velocità del tempo di blocco e nella capacità dei contratti smart, “il lavoro più interessante è ora all'interfaccia tra il ragionamento on-chain e la realtà off-chain,” perché i contratti smart, nonostante operino con precisione assoluta, spesso producono un output che sembra errato, ingiustificato e scollegato dalla realtà a causa di “dati su cui operano che sono deboli, incompleti o semplicemente non verificabili,” il che è dove deve svilupparsi una conversazione sugli oracoli, e dove APRO sta prendendo una divergenza notevole

In ogni ciclo blockchain, ci sono progetti che ricevono attenzione basata sulla velocità, promesse e innovazione superficiale, e poi ci sono progetti che, dietro le quinte, definiscono lo spazio. APRO rientra sicuramente in quest'ultima categoria. APRO non è destinato a stupire a prima vista. APRO è destinato a durare quando i tempi sono instabili, quando la qualità delle informazioni offerte determina o rompe un risultato equo. APRO emerge precisamente nel punto in cui il mondo del codice si interseca con il mondo della realtà, quando piccoli problemi nelle informazioni utilizzate dai contratti intelligenti producono conseguenze drammatiche sproporzionate.

Voglio partire da un luogo che sembra ovvio una volta che rallenti e ci pensi davvero. Le blockchain sono eccellenti nell'eseguire logica, ma sono terribili nel comprendere la realtà. Non sanno cosa è successo, perché è successo, o se qualcosa dovrebbe contare di più rispetto a qualcos'altro. Sanno solo ciò che viene detto loro. Già lo sai se hai trascorso del tempo a osservare i contratti intelligenti comportarsi perfettamente mentre producono risultati che sembrano scollegati dal mondo reale. E man mano che più responsabilità si sposta on-chain, quel divario tra esecuzione e comprensione diventa la singola debolezza più pericolosa nel sistema. Qui è dove gli oracoli smettono di essere uno strumento di supporto e iniziano a diventare un'infrastruttura fondamentale. È anche qui che APRO entra in gioco in un modo che sembra meno una caratteristica e più una necessità.

Mi piacerebbe discutere di questo con te personalmente riguardo a qualcosa che esiste sotto quasi ogni successo e ogni fallimento che tu ed io abbiamo visto in DeFi, GameFi, RWA e sistemi automatizzati on-chain, che, sebbene sia raramente notato, difficilmente vede i riflettori. "I contratti intelligenti sono vulnerabili, non perché siano scritti con codice debole." La maggior parte delle volte, il loro codice fa esattamente quello per cui è progettato. È in realtà perché un contratto intelligente manca di qualsiasi tipo di contesto, poiché non capisce perché sia successo un certo evento, solo che un certo marcatore o un certo numero ha superato una certa soglia. Il tuo comune essere umano, io, letteralmente guarda un prezzo che aumenta e si chiede se sia davvero solo un picco spurio, una manipolazione, una condizione temporanea, o una situazione poco scambiata. Tu ed io conosciamo tutte queste cose perché vediamo una situazione e la contestualizziamo, mentre un contratto intelligente guarda una condizione e risponde immediatamente a un semplice invito perché manca di qualsiasi tipo di contesto, che APRO cerca di eliminare con la sua soluzione a questo punto cieco.