CLONES AI — Turning Real Screen Time Into a Sellable AI Asset

CLONES sits in a very simple place in the stack:

LLMs are the brains, but they still need “muscle memory”. Real examples of humans actually using a computer. CLONES is building that layer and letting anyone own a slice of it.

What CLONES actually is

CLONES is a data engine and marketplace on Base that records real human computer use, turns it into clean training datasets for Computer Use Agents (CUAs), and wraps those datasets in tokens you can trade or burn to download with commercial rights. clones.gitbook.io

They do this through three main pieces:

• The Forge is a desktop app and on-chain system where “Factories” are created to pay people for high-quality workflow recordings.
• The Data Marketplace is an on-chain exchange where those datasets launch as tokens on bonding curves, then migrate to DEX liquidity, with a burn-to-download IP model.
• The $CLONES token is the asset that ties everything together: dataset launches, staking, burn mechanics, referral tiers and governance.

So instead of data brokers quietly harvesting clickstreams, CLONES is trying to make “digital human expertise” a liquid, on-chain commodity that anyone can help create and get paid for.

The problem it’s solving

The next phase of AI isn’t just chatbots; it’s Computer Use Agents that can:

• open Chrome, Notion, Excel, Figma, terminals
• click through real UIs
• fix errors, log in, reconcile, trade and ship work

To train that, labs need large volumes of structured recordings of humans using real software. Every click, keystroke, window switch and mouse path aligned with what the person was trying to do.

That data is:

expensive to produce,

locked up in private vendors, and

captured in ways where the workers see almost none of the upside.

Crypto has tried the “AI data token” idea before, but most attempts either represent vague “future utility” or closed B2B data silos. CLONES goes after a narrower but very real problem: high-quality CUA training data, collected in public and monetised on-chain.

How CLONES works — Forge → Dataset → Market

The workflow is actually pretty clean.

1. The Forge — collecting the data

A business or power user spins up a Factory inside the Forge. A Factory is basically a funded pool dedicated to one skill: “do this workflow on a computer”. They configure what needs to be done, how much each task is worth, and what token is used to pay (CLONES / USDC / ETH).

Contributors (“Farmers”) then:

• download the Forge desktop app,
• follow the instructions,
• execute the workflow while the app quietly records everything happening on screen — clicks, keys, app focus, UI structure, and so on.

Every demo is passed through an AI grading agent that scores quality. Sloppy or incomplete runs don’t get paid. Solid runs earn from the Factory’s reward pool, with the protocol taking its fee from the payout, not from the pool itself.

Over time, that Factory fills up with consistent, validated demonstrations for that skill — a proper training dataset, not just raw screen recordings.

2. Tokenising the dataset

Once the Factory owner is happy with the size and quality, they can “ship” it:

• the dataset is packaged and launched as a dataset token on a bonding curve (think Pumpfun / virtuals style mechanics, but tied to real IP)
• they set a burn threshold, how many tokens someone has to burn to download the dataset with commercial rights (“burn-to-download”)
• when the token hits a target market cap (the docs use ~$69k as the inflection), liquidity gets migrated to a DEX and the LP is burned so the market is fully permissionless.

Now that dataset isn’t just a folder of files; it’s a liquid asset with price discovery, trading history, and a clear IP unlock mechanic.

3. The marketplace flywheel

From there:

• traders can speculate on which datasets become core infra for future agents,
• labs and enterprises can simply burn the set amount of tokens to download and start training,
• the original Factory creator earns on all trading volume plus whatever allocation of tokens they hold.

On top of that, CLONES can combine multiple datasets into meta-datasets, curated bundles tuned for specific use-cases and give those priority access or extra rewards via $CLONES staking and governance.

How people actually make money with CLONES

There are four main ways to plug into this system.

1. Farmers — selling your workflows

If you’re the person at the keyboard, you’re a Farmer. You pick a Factory, run the Forge app, and follow the tasks. Every high-quality demo you give is graded and paid out from the Factory pool.

If you’re good at structured work: spreadsheets, customer support tools, research workflows, degen DeFi navigation, you’re essentially monetising the way you already use a computer, rather than handing that behaviour to Google or Microsoft for free.

2. Factory creators — building data businesses

Factory creators are the data entrepreneurs. They design the instructions, fund the rewards, and own the dataset that emerges. Once they tokenise:

• they earn a baked-in creator fee on every on-chain trade of that dataset token, and
• they hold an allocation of the token itself, so if their dataset becomes a “blue chip” asset for CUAs, they ride the upside from both trading and burns.

If those datasets are good enough to be included in CLONES’ meta-datasets, they get additional allocations and visibility.

3. Ambassadors and referrers

There’s also a referral layer tied to $CLONES holdings. Bring in Farmers and Factory creators, and a slice of their activity routes back to you as lifetime commissions, with higher tiers unlocked by holding more of the token. At the upper levels, a big chunk of the protocol’s fee is effectively redirected to these power referrers.

4. $CLONES holders and stakers

Finally, $CLONES itself is wired into:

• launching datasets and boosting visibility
• staking to get access and allocations to premium meta-datasets
• governance over which data gets curated into those high-value bundles
• and the burn economy whenever someone unlocks IP

If CLONES succeeds at becoming a core route to CUA training data, a lot of the economic gravity ends up flowing through this token.

The “data vault” and why CLONES isn’t starting from zero

One of the big advantages here is that CLONES launches with a serious seed asset: a $3M+ data vault of AI-ready computer-use data.

From their own figures, that vault contains:

• 24.8M action sequences
• 24.6M mouse events
• 460K structured prompts
• plus keyboard events and over 1.5M minutes of workflow video

Valued at conservative per-unit market rates, that package comes out to roughly $3M in training data on day one.

The backstory is that a previous team spent around a year collecting high-quality CUA data, then stalled on go-to-market. CLONES acquired that asset and rebuilt the infra around it: Forge, on-chain incentives, marketplace, burn-to-download IP.

That vault is now:

• seed content for early datasets
• a benchmark for quality scoring and grading
• and a proof point when talking to buyers — they’re not pitching “future data”, they already have a large, structured vault ready to ship.

Alpha: CLONES has realised it’s been sitting on a chaos-grade goldmine — 24.8M+ real human actions and 1.5M+ minutes of multi-app OS video across 10+ real apps, now being converted into data you can directly fine-tune computer-use agents on. The Forge is being upgraded to record full multi-app sessions inside a single factory, and the vault is internally valued in the $40–60M range, already bigger than Chakra/Pango’s CUA sets. Synthetic VM data will do scale — CLONES owns the rare “real human chaos” layer that actually drives generalisation, the missing link between lab sims and real-world AI performance.

Why it matters from here

Zooming out, you’ve got OpenAI, Anthropic, Google and others all rolling out “computer use” features. They all need exactly the kind of data CLONES is curating: long-tail, messy, real workflows across normal software stacks, not just clean lab demos.

CLONES is trying to position itself as the on-chain route to that: a way for anyone to farm CUA data, a liquid market around those datasets, and a token that indexes the whole flywheel.

The chart makes most people run a mile.

Me? I see a huge opportunity handed to us by early buyers who didn’t really understand what they were holding.

In my view this is a rare gift, a chance to enter a project near the true bottom. Sellers look exhausted, CLONES hasn’t even been properly marketed yet, and it’s only a matter of time before the team really presses the trigger.

It’s early, there’s execution and regulatory risk, and none of this is financial advice, people still need to do proper DD. But as a narrative, “selling your screen time into a vault of agent-ready data instead of letting big tech hoover it up for free” is a very clean story, and CLONES has built the pipes and a big starting vault to lean into it.

I’m in.

How to get involved

To get involved you can download the app from the official CLONES site, sign up using invite code , and start farming data:

CLONES — Create, Own, Trade AI Assets — UCM6PS

or get exposure via the token by buying $CLONES on Base through Uniswap . Always double-check links and contracts.

CA: 0xaadd98Ad4660008C917C6FE7286Bc54b2eEF894d

If you enjoyed this piece, help me grow by sharing it around, dropping a clap on the story, and hitting follow on my socials.

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CLONES AI — Turning Real Screen Time Into a Sellable AI Asset was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

The internet is undergoing a transformative evolution, moving from the centralized structures of Web 2.0 to the decentralized paradigms of Web3. At the heart of this shift lies blockchain technology, serving as the foundational infrastructure that enables a more secure, transparent, and user-centric digital experience.

Understanding Web3

Web3, often referred to as Web 3.0, represents the next generation of the internet, emphasizing decentralization, user ownership, and enhanced security. Unlike its predecessor, Web 2.0, which relies heavily on centralized servers and intermediaries, Web3 leverages decentralized networks to empower users with greater control over their data and online interactions.

Blockchain: The Backbone of Web3

Blockchain technology is integral to the realization of Web3, providing the necessary tools and frameworks to build decentralized applications (dApps) and services. Its role in Web3 development can be delineated through several key features:

Decentralization

• Distributed Ledger: Blockchain operates on a distributed ledger system, ensuring that data is not stored in a single location but across a network of nodes. This decentralization reduces the risk of single points of failure and enhances the resilience of web services.

Security and Transparency

• Immutable Records: Transactions recorded on a blockchain are immutable, meaning they cannot be altered or deleted. This immutability fosters trust and transparency, as all participants can verify transactions independently.​
• Cryptographic Protection: Blockchain employs advanced cryptographic techniques to secure data, protecting it from unauthorized access and tampering.​

User Empowerment

• Data Ownership: In the Web3 paradigm, users have greater control over their data, deciding how and when it is shared. Blockchain facilitates this by enabling secure, peer-to-peer interactions without the need for intermediaries.
• Digital Identity: Blockchain supports the creation of decentralized digital identities, allowing users to authenticate themselves without relying on centralized authorities.​

Applications of Blockchain in Web3

The integration of blockchain into Web3 development has given rise to various innovative applications:

• Decentralized Finance (DeFi): Blockchain enables the creation of financial services that operate without traditional intermediaries, offering users access to lending, borrowing, and trading platforms that are open and transparent.​
• Non-Fungible Tokens (NFTs): NFTs leverage blockchain to establish ownership and provenance of digital assets, revolutionizing industries such as art, music, and gaming.​
• Decentralized Autonomous Organizations (DAOs): Blockchain facilitates the formation of DAOs, which are organizations governed by smart contracts and collective decision-making, promoting a more democratic management structure.​

Challenges and Considerations

While blockchain plays a pivotal role in Web3 development, it is essential to acknowledge and address the challenges associated with its implementation:

• Scalability: As blockchain networks grow, scalability becomes a concern, with issues related to transaction throughput and latency needing resolution to support widespread adoption.​
• Energy Consumption: Certain blockchain consensus mechanisms, such as Proof of Work (PoW), are energy-intensive. Exploring and adopting more sustainable alternatives like Proof of Stake (PoS) is crucial.​
• Regulatory Landscape: The decentralized nature of blockchain poses challenges for regulators, necessitating the development of frameworks that balance innovation with consumer protection.​

Conclusion

Blockchain technology is undeniably the cornerstone of Web3 development, driving the transition towards a more decentralized, secure, and user-empowered internet. As the digital landscape continues to evolve, embracing blockchain’s potential will be instrumental in shaping the future of online interactions and services.​

About Duredev

Duredev, a blockchain-driven enterprise solutions provider, streamlines system integration with cutting-edge automation, enhancing security, transparency, and efficiency. Our advanced frameworks enable businesses to deploy decentralized applications, optimize workflows, and unlock new revenue streams. With expertise in smart contracts, AI-powered automation, and cross-chain interoperability, we help organizations future-proof their operations and stay ahead in an evolving digital landscape.​

Contact us to learn more.

Step Into the Future with Web3 & Blockchain!

Decentralization is reshaping the internet, and blockchain is the key to this transformation. Now is the time to embrace the power of Web3.

— Curious about blockchain and Web3? Follow Dure.dev for the latest insights.
 — Ready to innovate? Explore decentralized apps and blockchain-powered solutions.
 — Join the conversation! Share your thoughts and questions in the comments.

The new internet is here — don’t get left behind!

How Blockchain is Shaping the Future of Web3 was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

In the fast-evolving world of digital finance, blockchain technology has created multiple pathways for businesses to innovate, fundraise, and manage assets securely. One of the most transformative innovations to emerge in recent years is security token development a process that enables companies to tokenize real-world, regulated financial assets such as equity, bonds, real estate, funds, commodities, and revenue-sharing models. As global markets shift toward compliance-driven blockchain solutions, security tokens are rapidly becoming the new industry standard.

This transition is not just a trend it is a structural evolution in how businesses manage ownership, raise capital, and ensure regulatory transparency. In this comprehensive guide, we break down the reasons behind the growing adoption of security tokens and why enterprises, startups, and institutional investors view them as the future of digital finance.

1. Introduction: The Shift Toward Regulated Digital Assets

The digital asset industry has gone through multiple waves of innovation from cryptocurrencies like Bitcoin to utility tokens used in decentralized applications. While utility tokens opened new possibilities, they lacked regulatory clarity. This created a significant gap for institutional investors who needed compliance, governance, and legal protection.

This gap is now being filled by security tokens, which represent real, legally backed financial instruments on the blockchain. These tokens are governed by securities laws, making them compliant from day one.

As global investment landscapes mature, the demand for:

✦Transparency
✦Regulation
✦Investor rights
✦Secure digital ownership
✦Tokenized real-world assets

has positioned security token development as a cornerstone of next-generation finance.

2. What Exactly Are Security Tokens?

Security tokens are blockchain-based digital assets that represent ownership of a real-world, regulated financial asset. These assets can include:

✦Equity shares in a company
✦Real estate assets or property deeds
✦Bonds, treasury notes, or debt instruments
✦Revenue or profit-sharing rights
✦Investment fund shares
✦Intellectual property rights
✦Commodities

Unlike utility tokens, security tokens:

✦Are fully compliant with securities regulations
✦Represent tangible financial value
✦Provide investor rights
✦Distribute dividends or revenue shares
✦Are backed by legal agreements

This makes them ideal for investors seeking both transparency and legal protection.

3. Why Security Tokens Are Gaining Global Momentum

Security tokens are no longer niche they are becoming a mainstream investment vehicle. Several factors contribute to this shift.

3.1 Regulatory Compliance Builds Investor Trust

One of the biggest challenges in early crypto fundraising models (like ICOs) was the lack of regulations. ICOs resulted in billions in losses due to scams, frauds, and lack of accountability.

Security tokens solve this problem by being:

Fully compliant with SEC, FINRA, and global securities laws
Issued through regulated frameworks like Reg D, Reg S, MiFID II, or MAS guidelines
✦Backed by strict legal documentation
✦This compliance ensures trust among:
✦High-net-worth investors
✦Venture capital firms
✦Institutional funds
✦Global investment banks

Regulation isn’t a limitation it’s the biggest reason behind mass adoption.

3.2 Tokenization Creates Fractional Ownership
Tokenizing an asset breaks it into smaller, tradeable units. This means investors can purchase portions of expensive assets like:

✦Commercial real estate
✦Luxury villas
✦Rare art
✦Exclusive investment funds
✦Industrial-grade commodities

Fractional ownership democratizes access and unlocks global capital flow.

Benefits of fractional ownership include:

✦Lower entry barriers
✦Increased liquidity
✦Better price discovery
✦Higher market participation

This model expands the investor pool beyond institutional players.

3.3 Increased Liquidity Through 24/7 Global Markets
Traditional financial markets operate under limited hours and face liquidity constraints. Security tokens being digital can be traded:

✦Globally
✦24/7
✦Instantly

Across compliant secondary marketplaces

This liquidity attracts investors who previously avoided illiquid asset classes.

Examples of asset classes gaining liquidity through tokenization:

✦Commercial real estate
✦Private equity shares
✦Corporate bonds
✦Fine art
✦Investment funds

Liquidity is a game-changer especially for asset owners and startups seeking faster capital formation.

3.4 Lower Operational Costs and Faster Settlement
Security token development significantly reduces the operational bottlenecks and inefficiencies of traditional finance.

Blockchain enables:
✦Instant settlement
✦Fewer intermediaries
✦Automated compliance checks
✦Reduced paperwork
✦Lower administrative fees

Security tokens convert slow, costly processes into streamlined, automated workflows powered by smart contracts.

3.5 Automation Through Smart Contracts
Smart contracts play a vital role in the rise of security tokens.

They automate:
✦Dividend distribution
✦Voting rights
✦Compliance verification
✦Token transfers
✦Ownership updates
✦KYC/AML processes

This automation reduces fraud, human error, and administrative overhead.

3.6 Access to Global Capital Markets

Security tokens break geographical barriers.

A business in India can now raise funds from investors in:
✦Europe
✦Singapore
✦UAE
✦USA
✦Australia

This borderless ecosystem gives startups and enterprises unprecedented global reach.

4. Key Benefits Driving Mass Adoption of Security Token Development

Let’s explore the core reasons why businesses increasingly choose security token development over traditional fundraising and asset management.

4.1 Enhanced Transparency
All transactions recorded on blockchain are:

✦Immutable
✦Visible
✦Traceable

This level of transparency reduces financial manipulation and ensures data integrity.

4.2 Improved Security and Fraud Prevention
Security tokens leverage cryptographic security, ensuring:

✦Tamper-proof data
✦Protection against cyber threats
✦Secure ownership tracking
✦Built-in fraud detection

This makes them ideal for high-value asset classes.

4.3 Highly Customizable Governance Models
Companies can structure tokens to include:

✦Dividends
✦Voting rights
✦Profit-sharing
✦Interest payouts
✦Vesting periods

This flexibility makes security tokens adaptable to any industry.

4.4 Efficient Fundraising for Businesses and Startups
Security Token Offerings (STOs) offer a compliant alternative to ICOs.

STOs benefit businesses by:
✦Lowering fundraising risks
✦Attracting institutional investors
✦Ensuring legal protection
✦Improving credibility

As a result, STOs are becoming the preferred fundraising vehicle across sectors.

5. Why Security Tokens Are Becoming the Industry Standard

Let’s break down the major contributing forces behind this evolution.

5.1 Institutions Favor Compliance
Financial institutions prioritize regulation above everything else. Security tokens deliver the compliance needed for large-scale financial participation.

This institutional acceptance is pushing the industry forward.

5.2 Governments Support Tokenization Frameworks

Countries like:
✦USA
✦UAE
✦India
✦Singapore
✦UK
✦Switzerland

are building regulatory frameworks to support tokenized assets. Government support accelerates adoption and builds long-term industry confidence.

5.3 Real-World Use Cases Validate the Model

Real-world applications are proving the effectiveness of security tokens.

Practical use cases include:
✦Tokenized real estate investment platforms
✦Blockchain-based private equity management
✦Digital bond issuances
✦Fractional ownership of luxury assets
✦Tokenized green energy projects
✦Supply chain financing

These success stories fuel industry trust and demand.

5.4 Alignment With the Future of Digital Finance

The global financial system is moving toward:

✦tokenized assets
✦digital securities
✦programmable money
✦blockchain-driven capital markets

Security tokens fit perfectly into this future-ready ecosystem.

6. Industries Being Transformed by Security Token Development

Security tokenization is not limited to fintech. Multiple industries are being reshaped.

Real Estate Tokenization

Fractionalized ownership and global trading are transforming real estate investment.

Private Equity and Venture Capital

Startups can tokenize equity to raise funds faster and reduce investor friction.

Investment Funds

Fund managers tokenize shares for better liquidity and investor access.

Healthcare and Pharma

IP rights, patents, and medical research assets can be tokenized.

Energy and Infrastructure

Green energy credits, renewable projects, and carbon certificates are becoming tokenized.

Supply Chain Finance

Invoices, receivables, and trade finance instruments can be digitized.

Security tokens serve as a universal infrastructure for asset ownership and investment.

7. The Future of Security Tokens: What to Expect

Security tokens are still in early growth stages, but the future is promising.

7.1 Tokenization of Everything (ToE)
Within the next decade, every asset class could be tokenized:

✦Real estate
✦Stocks
✦Private equity
✦Commodities
✦Patents
✦Luxury goods
✦Renewable energy

Tokenization will redefine global asset markets.

7.2 Growth of Regulated Security Token Exchanges

More regulated exchanges will emerge, offering secure, compliant trading environments.

7.3 Institutional Adoption Will Multiply

Banks, hedge funds, and asset managers will adopt security tokens as their primary investment instruments.

7.4 Government-Backed Tokenization Initiatives

Governments will increasingly tokenize bonds and public assets, boosting mass adoption.

7.5 AI + Blockchain for Intelligent Asset Management

AI-driven analytics will optimize tokenized asset portfolios, enhancing investor decision-making.

Conclusion

Security Token Development is not just a technological innovation it is the foundation of the future of global finance. Its ability to merge blockchain efficiency with regulatory compliance has solved one of the biggest challenges in digital asset markets.

From fractional ownership and increased liquidity to global investor access and automated compliance, security tokens provide benefits that traditional finance simply cannot match.

As governments, enterprises, and institutions continue adopting tokenized financial models, security tokens will soon stand at the center of capital markets worldwide.

This is why security token development is becoming the new industry standard an essential, compliant, and future-ready solution for businesses aiming to scale in a digital-first world.

Why Security Token Development Is Becoming the New Industry Standard was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Victory in Lathus v. United States Expected to Transform Disability Rights for Millions of Americans

Washington, D.C. — 12-10-25
A landmark disability-rights case, Lathus v. United States, brought by a disabled pro se litigant, has set the stage for the most significant civil-rights transformation inside the federal judiciary since Tennessee v. Lane (2004).

For the first time in American legal history, a disabled individual—acting without legal counsel—has successfully forced the U.S. Department of Justice to defend the federal judiciary itself under the Rehabilitation Act for alleged discrimination, denial of accommodations, and systemic exclusion from meaningful access to justice.

If the Court of Federal Claims rules in favor of the plaintiff, the decision will reshape how the federal courts treat disabled individuals, creating nationwide protections and procedural reforms that affect millions.

A Victory Could Trigger Major Nationwide Reforms

A ruling in favor of the plaintiff would:

• Establish that federal courts are subject to disability-rights laws, including the Rehabilitation Act.
• Require all federal courthouses to maintain publicly accessible ADA/504 coordinators and consistent accommodation procedures.
• Reform court systems to ensure meaningful access for disabled litigants, including e-filing rights, remote appearances, accessible deadlines, and speech-related accommodations.
• Prohibit clerks and judges from engaging in disability-based procedural discrimination, gatekeeping, or retaliation.
• Create enforceable remedies for disabled people harmed by discriminatory judicial procedures—something that has never existed before.
• Launch a systemic review by the DOJ of how disabled individuals are treated across all 94 federal judicial districts.

This would mark the first time in American history that disabled individuals possess a clear, enforceable mechanism to challenge access failures inside the federal courts themselves.

A Pro Se Litigant Made History

The plaintiff, Joseph William Lathus, brought the case after encountering repeated administrative and procedural barriers in both state and federal courts, including:

• denial of disability accommodations,
• dismissal of filings without ADA review,
• refusal to allow accessible filing methods,
• clerical obstruction,
• mishandling of disability-related medical information, and
• retaliatory judicial action by state officials.

The Court of Federal Claims accepted the complaint, served the Department of Justice, and assigned a federal judge—demonstrating the case’s legitimacy and national importance.

The First Case to Bridge ADA Civil Rights and Judicial Accountability

While Tennessee v. Lane held that disabled litigants must have physical access to state courts, Lathus v. United States asks the next logical question:

What happens when the barrier is not a flight of stairs, but the judicial system itself?

If successful, Lathus will become the first case in U.S. history to require federal courts to adopt measurable disability-rights standards for:

• clerk operations,
• judicial procedures,
• filing accessibility,
• IFP determinations,
• communication accommodations, and
• administrative practices.

A Historic Moment for Disabled Americans

“A victory in Lathus v. United States would signal the beginning of a new era in disability rights,” said independent legal analysts following the case.
“It would extend the principles of Lane into the internal machinery of the federal courts and ensure that disabled Americans receive equal access to justice nationwide.”

Media Contact:

Joetattooski@gmail.com

Victory in Lathus v. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

The mechanics matter. Ruya is not some offshore exchange improvising its own religious branding. It is a digital first Islamic bank regulated by the UAE Central Bank, with its own Sharia supervisory board and national level backing for the ruling that Bitcoin can be treated as compliant when structured correctly. Transactions run through a licensed virtual asset partner that provides secure execution, while custody uses institutional infrastructure for both hot and cold storage. This triad of banking regulation, Sharia governance, and licensed crypto infrastructure creates a template that other Islamic institutions can copy. It transforms BTC from something many scholars saw as speculative and dubious into an asset that can sit alongside sukuk and compliant equities inside a portfolio.

The size of the opportunity is staggering. Saudi Arabia alone controls around $1 trillion in Sharia compliant financial assets, and across the broader Islamic world, compliant assets reach the multi trillion level. Until now, most of that capital had no structurally acceptable path into BTC. With Ruya’s model, high net worth clients, family offices, and eventually sovereign allocators can justify exposure as part of long term wealth building that adheres to religious principles. That is where the narrative about ETFs “bleeding” begins to intersect with this development. Spot Bitcoin ETFs in Western markets have reportedly seen roughly $2.7 billion in net outflows over a 6 week window, while wealthy entities and sovereign vehicles have been accumulating over the counter at price points near $80,000 per coin. The supply is quietly shifting from public wrappers to private, longer term hands.

The religious barrier being removed at the banking level does something more powerful than a new fund listing on a Western exchange. It normalizes Bitcoin ownership for millions of observant Muslims who previously had to choose between their faith and their desire to participate in the digital asset boom. A compliant channel inside a bank app means a user can dollar cost average into BTC the same way they would into other halal investments, with full transparency around governance and risk. It also gives Islamic regulators and scholars real time visibility into how these products are used, which should reduce fears of speculation and misuse that have haunted earlier debates.

If other Islamic banks in the Gulf, Southeast Asia, and North Africa follow Ruya’s lead, the market could see a gradual but relentless wave of structurally sticky demand. These are not the fast money flows chasing every narrative token. They are institutional and retail investors constrained by religious rules who now have a sanctioned outlet for their Bitcoin curiosity. That could change how supply shocks unfold in the next cycle, especially if ETFs continue to leak coins while sovereign wealth funds and compliant banks quietly buy in the background. For the first time, BTC is not just technologically and financially borderless. It is starting to become religiously borderless too, and that might be one of the most underestimated catalysts for its long term adoption.

Originally published at https://coinbasecorridor.blogspot.com on December 9, 2025.

How Ruya’s Bitcoin Fatwa Could Rewrite the Next Bull Market was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Building for large systems and long-running background jobs.

Months ago, I assumed the role that required building infrastructure for media(audio) streaming. But beyond serving audio as streamable chunks, there were long-running media processing jobs and an extensive RAG pipeline that catered to transcription, transcoding, embedding, and sequential media updates. Building an MVP with a production mindset had us reiterate till we achieved a seamless system. Our approach has been one where we integrated features and the underlying stack of priorities.

Of Primary concern:

Over the course of building, each iteration came as a response to immediate and often “encompassing” need. Initial concern was queuing jobs, which readily sufficed with Redis; we simply fired and forgot. Bull MQ in the NEST JS framework gave us an even better control over retries, backlogs, and the dead-letter queue. Locally and with a few payloads in production, we got the media flow right. We were soon burdened by the weight of Observability:
Logs → Record of jobs (requests, responses, errors).
Metrics → How much / how often these jobs run, fail, complete, etc.
Traces → The path a job took across services (functions/methods called within the flow path).

You can solve some of these by designing APIs and building a custom dashboard to plug them into, but the problem of scalability will suffice. And in fact, we did design the APIs.

Building for Observability

The challenge of managing complex, long-running backend workflows, where failures must be recoverable, and state must be durable, Inngest became our architectural salvation. It fundamentally reframed our approach: each long-running background job becomes a background function, triggered by a specific event.

For instance, an Transcription.request event will trigger a TranscribeAudio function. This function might contain step-runs for: fetch_audio_metadata, deepgram_transcribe, parse_save_trasncription, and notify_user.

Deconstructing the Workflow: The Inngest Function and Step-runs

The core durability primitive is the step-runs. A background function is internally broken down into these step-runs, each containing a minimal, atomic block of logic.

• Atomic Logic: A function executes your business logic step by step. If a step fails, the state of the entire run is preserved, and the run can be retried. This restarts the function from the beginning. Individual steps or step-runs cannot be retried in isolation.
• Response Serialization: A step-run is defined by its response. This response is automatically serialized, which is essential for preserving complex or strongly-typed data structures across execution boundaries. Subsequent step-runs can reliably parse this serialized response, or logic can be merged into a single step for efficiency.
• Decoupling and Scheduling: Within a function, we can conditionally queue or schedule new, dependent events, enabling complex fan-out/fan-in patterns and long-term scheduling up to a year. Errors and successes at any point can be caught, branched, and handled further down the workflow.

Inngest function abstract:

import { inngest } from 'inngest-client';

export const createMyFunction = (dependencies) => {
  return inngest.createFunction(
    {
      id: 'my-function',
      name: 'My Example Function',
      retries: 3,            // retry the entire run on failure
      concurrency: { limit: 5 },
      onFailure: async ({ event, error, step }) => {
        // handle errors here
        await step.run('handle-error', async () => {
          console.error('Error processing event:', error);
        });
      },
    },
    { event: 'my/event.triggered' },
    async ({ event, step }) => {
      const { payload } = event.data;

      // Step 1: Define first step
      const step1Result = await step.run('step-1', async () => {
        // logic for step 1
        return `Processed ${payload}`;
      });

      // Step 2: Define second step
      const step2Result = await step.run('step-2', async () => {
        // logic for step 2
        return step1Result + ' -> step 2';
      });

      // Step N: Continue as needed
      await step.run('final-step', async () => {
        // finalization logic
        console.log('Finished processing:', step2Result);
      });

      return { success: true };
    },
  );
};

The event-driven model of Inngest provides granular insight into every workflow execution:

• Comprehensive Event Tracing: Every queued function execution is logged against its originating event. This provides a clear, high-level trail of all activities related to a single user action.
• Detailed Run Insights: For each function execution (both successes and failures), Inngest provides detailed logs via its ack (acknowledge) and nack (negative acknowledgment) reporting. These logs include error stack traces, full request payloads, and the serialized response payloads for every individual step-run.
• Operational Metrics: Beyond logs, we gained critical metrics on function health, including success rates, failure rates, and retry count, allowing us to continuously monitor the reliability and latency of our distributed workflows.

Building for Resilience

The caveat to relying on pure event processing is that while Inngest efficiently queues function executions, the events themselves are not internally queued in a traditional messaging broker sense. This absence of an explicit event queue can be problematic in high-traffic scenarios due to potential race conditions or dropped events if the ingestion endpoint is overwhelmed.

To address this and enforce strict event durability, we implemented a dedicated queuing system as a buffer.

AWS Simple Queue System (SQS) was the system of choice (though any robust queuing system is doable), given our existing infrastructure on AWS. We architected a two-queue system: a Main Queue and a Dead Letter Queue (DLQ).

We established an Elastic Beanstalk (EB) Worker Environment specifically configured to consume messages directly from the Main Queue. If a message in the Main Queue fails to be processed by the EB Worker a set number of times, the Main Queue automatically moves the failed message to the dedicated DLQ. This ensures no event is lost permanently if it fails to trigger or be picked up by Inngest. This worker environment differs from a standard EB web server environment, as its sole responsibility is message consumption and processing (in this case, forwarding the consumed message to the Inngest API endpoint).

UNDERSTANDING LIMITS AND SPECIFICATIONS

An understated and rather pertinent part of building enterprise-scale infrastructure is that it consumes resources, and they are long-running. Microservices architecture provides scalability per service. Storage, RAM, and timeouts of resources will come into play. Our specification for AWS instance type, for example, moved quickly from t3.micro to t3.small, and is now pegged at t3.medium. For long-running, CPU-intensive background jobs, horizontal scaling with tiny instances fails because the bottleneck is the time it takes to process a single job, not the volume of new jobs entering the queue.

Jobs or functions like transcoding, embedding are typically CPU-bound and Memory-bound. CPU-bound because they require sustained, intense CPU usage, and Memory-Bound because they often require substantial RAM to load large models or handle large files or payloads efficiently.

Ultimately, this augmented architecture, placing the durability of SQS and the controlled execution of an EB Worker environment directly upstream of the Inngest API, provided essential resiliency. We achieved strict event ownership, eliminated race conditions during traffic spikes, and gained a non-volatile dead letter mechanism. We leveraged Inngest for its workflow orchestration and debugging capabilities, while relying on AWS primitives for maximum message throughput and durability. The resulting system is not only scalable but highly auditable, successfully translating complex, long-running backend jobs into secure, observable, and failure-tolerant micro-steps.

Building Spotify for Sermons. was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

There was a season when Web3 gaming felt like a digital gold rush. You joined early, farmed rewards, sold, and moved on to the next opportunity. For some, it was a breakthrough. For others, a disappointment. But for the industry, it was something essential: a high-speed learning era.

Now the conversation is changing. And the shift isn’t about a new hype cycle — it’s about a timeless truth of game design:

If the game doesn’t captivate you, no economy can survive.

We’re watching Web3 gaming evolve from Play-to-Earn toward something more mature and human — a Play-and-Belong mindset. Rewards still matter, but they’re no longer the only reason to stay. Identity, reputation, shared history, and the pride of building something meaningful are becoming the real anchors of lasting communities.

When gameplay takes the crown again

The most visible sign of maturity is the return of a core priority: Gameplay first

Projects that want to last understand that financial incentives are a support system, not the heart of the experience. A token can spark curiosity — but only a great game creates emotional loyalty.

This naturally pushes communities toward healthier design:

• fewer inflation-heavy reward loops
• more real utility inside the gameplay cycle
• systems that value progression, contribution, and mastery
• markets where value comes from culture, not just speculation

The new “I want to come back” economy

The real upgrade isn’t just technical — it’s psychological.
A mature economy isn’t measured only by price charts but by questions like:

• Does this world reflect who I am?
• Can I create something that leaves a lasting impression?
• Does my time here matter to the community?

When games become worlds with identity, players stop acting like short-term farmers and start becoming citizens.

Less friction, stronger communities

Another key signal is the relentless focus on user experience.
Web3 gaming is learning that onboarding should feel like an open door — not a cryptography exam.

The direction is clear:

More simplicity, more accessibility, and more room for non-crypto-native players to feel at home.

Because mass communities don’t grow from manuals.
They grow from shared moments.

Community as the real endgame

In the early stage, many projects felt economy-driven.
In this new phase, the strongest builders are flipping that logic:

The economy exists to serve the community.

That shift changes everything:

• It empowers creators
• strengthens user-generated culture
• gives digital ownership real meaning
• and transforms the game into a world with a collective memory

RobotCity and the future we build together

And this is where RobotCity has a historic opportunity. If the future of Web3 gaming is about building economies people truly want to live in, then our mission goes beyond playing or investing:

It’s about creating a digital home for creators, gamers, and builders.

RobotCity isn’t just a node. It’s a living city vision — built by the community, for the community. A place where identity matters, where building becomes culture, and where progress is celebrated as shared history.

If you’re ready to help shape a metaverse that’s built with purpose —

RobotCity is waiting for you.

Economies Worth Living In: The Maturity of Web3 Gaming was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

leverage on major assets such as BTC, ETH, and SOL have found a game-changer in this Ethereum Layer-2 powerhouse. Launched in 2023 and incubated by Amber Group, EdgeX isn’t just another trading venue — it’s a modular financial system designed to scale on-chain trading into the mainstream, processing over $164 billion in cumulative volume across more than 167,000 unique users.

Start Edgex Exchange with Boost On Points:
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If you’re looking for an Edgex exchange invite code, use TradeNow to boost your points and get a discount on trading fees.

In a market where DeFi platforms often sacrifice speed for decentralization, EdgeX Exchange redefines what’s possible. Its orderbook-based model ensures precise fills even during volatility spikes, while deep liquidity pools keep spreads as tight as 1 basis point. Whether you’re a retail trader dipping into perps for the first time or a quant deploying high-frequency strategies, EdgeX Exchange delivers reliability without the custody risks that plagued earlier DEXs.

What is EdgeX Exchange? A Deep Dive into the Perpetual DEX Built for Pros

At its core, EdgeX Exchange is a perpetual futures decentralized exchange (Perp DEX) engineered on Ethereum’s Layer-2 using StarkWare’s zero-knowledge rollup technology. This setup allows it to handle 200,000 orders per second — rivaling top centralized exchanges — while settling trades transparently on-chain. Unlike automated market makers (AMMs) that can suffer from impermanent loss and slippage, EdgeX’s central limit orderbook provides the precision traders demand for strategies like scalping or hedging.

What sets EdgeX Exchange apart is its four-layer architecture, optimized for both performance and security:

• UI Layer: A sleek, mobile-first interface with MPC social logins for seamless onboarding. The app, available on iOS and Android, mirrors CEX usability, letting users monitor positions, charts, and funding rates with one-tap efficiency.
• Match Engine Layer: The heartbeat of the platform, processing trades with under 10ms latency through deterministic parallel execution and Flashlane QoS scheduling.
• Settlement Layer: Batches verified trades to Ethereum mainnet via ZK-rollups, ensuring tamper-proof finality without high gas fees.
• Liquidity Layer: Aggregates cross-chain assets from 70+ blockchains, supporting effortless deposits and withdrawals.

This modular design isn’t theoretical — it’s battle-tested. EdgeX has clocked $3.97 billion in 24-hour volume, with annualized revenue topping $476 million, positioning it among DeFi’s revenue leaders. For users exploring EdgeX Exchange review points, the emphasis on real utility shines: no KYC barriers, full self-custody, and tools like sub-accounts for advanced position management.

The Technology Powering EdgeX Exchange: From ZK-Rollups to High-Throughput Matching

Diving deeper into EdgeX Exchange technology, the platform leverages the EDGE Stack — a custom infrastructure stack that includes edgeVM for collision-free transaction processing and edgeEVM for Ethereum compatibility. This enables parallel order matching without the bottlenecks that plague traditional on-chain platforms, making it ideal for high-frequency trading (HFT) and algorithmic bots.

Key innovations include:

• ZK-Rollup Integration: StarkEx powers validity proofs, reducing costs by 90% compared to mainnet while maintaining Ethereum’s security.
• Cross-Chain Bridges: Seamless asset transfers via native support for Arbitrum, BSC, and more, eliminating the fragmentation that frustrates multi-chain traders.
• API and HFT Support: Full programmatic access for market makers and quants, with WebSocket feeds for real-time data.

Traders often highlight how this tech translates to everyday wins: during recent market dips, EdgeX maintained stable execution where competitors faltered, thanks to its priority scheduling that favors high-value orders without front-running risks. As one seasoned user noted after testing volatile sessions, “Orders fill like clockwork — no lag, no drama, just pure efficiency.” For those searching EdgeX Exchange perpetual DEX, this is the backbone that turns theoretical speed into tangible alpha.

EdgeX Exchange Features: Tailored Tools for Every Trader Type

EdgeX Exchange excels by catering to diverse strategies, from casual spot trades to leveraged perps. Here’s a breakdown of standout EdgeX Exchange features that make it a versatile powerhouse:

• Perpetual Contracts Trade 95+ pairs including BTC, ETH, and SOL with up to 100x leverage. The central limit orderbook delivers precise fills and deep liquidity even in extreme volatility — perfect for scalpers, swing traders, and hedgers.
• Spot Trading Ultra-low fees (0.03–0.05%) and instant cross-chain swaps. Seamlessly move between spot positions and leveraged perps without ever leaving the platform.
• eStrategy Vaults Deposit collateral into on-chain yield vaults and earn up to 80% APR while keeping your funds actively deployed in trading strategies. Turn idle capital into passive income.
• Sub-Accounts Create unlimited isolated sub-accounts to test new strategies, separate risk, or manage multiple trading styles — all under one main wallet with full transparency.
• Full-Featured Mobile App (iOS & Android) Trade, monitor PNL, set alerts, and manage positions anywhere. Push notifications for funding rates, liquidations, and price alerts keep you in control on the go.
• Advanced API & HFT Support WebSocket feeds, REST endpoints, and low-latency infrastructure designed specifically for algorithmic traders, market makers, and trading bots.
• eLP Liquidity Provision Provide liquidity without impermanent loss risk and earn trading fees + points. One of the most capital-efficient ways to generate yield in DeFi right now.
• One-Click Social Login + MPC Wallet No seed phrases, no KYC — connect with Google, Apple, or Telegram and start trading in seconds while retaining full self-custody.

These aren’t gimmicks — they drive engagement. The eLP liquidity provision tool, for instance, lets users supply assets for trading fees and points without impermanent loss risks, appealing to yield farmers eyeing EdgeX Exchange liquidity. Community feedback echoes this: pros praise the API for bot integration, while beginners love the intuitive charts that display mark prices and PNL in real-time, reducing the learning curve.

EdgeX Exchange Team: Expertise from Wall Street to Web3

Behind EdgeX Exchange is a team blending TradFi pedigrees with crypto-native innovation. Incubated by Amber Group — a Singapore-based digital asset giant founded in 2017 — the core founders hail from Morgan Stanley, Barclays, Goldman Sachs, and Bybit. With over seven years in derivatives engineering and market-making, they’ve engineered a platform that addresses DeFi’s pain points head-on.

Co-founder KF, a derivatives specialist, emphasizes long-term vision over short-term hype: “We’re not allocating tokens to VCs; we’re building for community-driven growth.” This lean structure — half of daily revenue covers ops, the rest fuels buybacks — ensures sustainability. The team’s transparency shines in crisis response: during a recent 2.5-hour outage from a USDT-USDC depeg, they adjusted fees dynamically (lowering USDT withdrawals to 0.03%), issued immediate updates, and compensated affected users via Discord tickets. Such moves build trust, as evidenced by EdgeX’s rapid climb to 14.6% perp market share.

EdgeX Exchange Token and Airdrop: Points to Potential Rewards

While tokenless today, EdgeX Exchange token anticipation builds around its Q4 2025 TGE. The Open Season points program rewards trading volume, liquidity provision, and community activity, with 20–35% of supply earmarked for holders. Speculation points to $EX as the ticker, with an FDV of $2–2.4 billion — community-first, no pre-allocations to funds.

Earning points is straightforward: trade perps for volume multipliers, stake in eStrategy vaults, or engage via referrals. Recent data shows weekly distributions hitting 300,000 points across 15,000+ wallets, with average yields per user rising as participation grows. The $MARU memecoin, EdgeX’s official flagship (70% airdrop allocation), adds fun — traders speculate $50M initial FDV, potentially 4x on hype. For EdgeX Exchange airdrop hunters, this system’s fairness (factoring PNL and volume) minimizes sybil attacks, turning every trade into future upside.

EdgeX Exchange Review: Pros, Cons, and Real-User Insights

Aggregating EdgeX Exchange review sentiments, the platform scores high on execution (4.8/5) and liquidity (4.7/5), per user metrics. Pros dominate: “Feels like Bybit but on-chain,” one trader shared after a $10K position filled slippage-free. The mobile app’s polish — fast charts, one-tap orders — earns raves from on-the-go users, while eLP’s 80% APR draws yield seekers.

Cons are minor: Open interest trails leaders at 6.1% ($780M), hinting room for institutional inflows, and spot trading is still ramping up (testnet live, mainnet next month). Yet, in volatile tests — like last week’s depeg — EdgeX’s fee tweaks stabilized flows, earning “textbook risk management” nods. Overall, it’s a 4.7/5 for pros chasing EdgeX Exchange trading, with retail users loving the no-KYC entry.

EdgeX Exchange Roadmap: From V1 Perps to Full Settlement Chain

EdgeX’s trajectory is aggressive yet achievable. Q2 2025 saw V1 launch: perp and spot DEX with web/mobile apps. Q3 brought eStrategy vaults for on-chain management. Now, V2 — a high-performance L2 testnet — unlocks 20,000 TPS.

Upcoming milestones:

• Q4 2025: TGE, unified accounts, yield-bearing collateral, Polymarket integration for leveraged predictions.
• 2026: Permissionless liquidity modules, RWA tokenization, copy-trading on-chain.

This evolution positions EdgeX as a “financial settlement chain,” merging DeFi with TradFi. Partnerships like Polymarket amplify this: cross-chain liquidity solves prediction markets’ depth issues, birthing 10–20x leveraged events. As one analyst put it, “It’s not hype — it’s the Super App thesis materializing.”

Why Choose EdgeX Exchange? The Edge in On-Chain Perpetual Trading

In a crowded DeFi landscape, EdgeX Exchange wins by solving real trader frustrations: slow fills, shallow books, and custody fears. It offers CEX fluidity — deep liquidity, pro tools — without compromises, all while stacking points for TGE rewards. For retail users, the app’s simplicity lowers barriers; for institutions, API depth and StarkEx security seal the deal.

As markets mature, platforms like EdgeX that prioritize execution over gimmicks will dominate. With $462 million TVL and top-5 perp volumes, it’s already proving the point. Ready to trade with an edge? Connect your wallet at edgex.exchange and experience the difference — your next position awaits, faster and safer than ever.

• EdgeX Exchange Airdrop: Your Guide to Earning Points and Unlocking DeFi Rewards
• EdgeX Exchange: Review, Airdrop, Invite and Referral Code
• Edgex Exchange Invite Code and Referral Code

EdgeX Exchange: Review, Airdrop, Invite and Referral Code was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

AI automation has undergone massive transformation over the past three years. Traditional workflow automation — based on static rules, simple scripts, or basic chatbots — has evolved into AI-powered autonomous systems capable of reasoning, retrieving information, executing tasks, coordinating with tools, and making decisions in dynamic environments.

At the heart of this transformation are Large Language Models (LLMs), which have become the preferred foundation for intelligent automation systems across industries. But deploying LLMs in enterprise environments is not simple. It requires specialized engineering talent — LLM Engineers — who understand model training, retrieval pipelines, orchestration frameworks, agent workflows, compliance requirements, and scalable cloud-based deployments.

This is why companies worldwide now hire LLM developers to design and implement advanced AI-powered automation.

This guide gives you everything you need to know about hiring the right LLM developers in 2025, including:

• What LLM engineers do
• Skills they must possess
• The hiring process
• How to evaluate candidates
• What automation projects require LLM engineering
• Costs for hiring LLM developers
• Why now is the best time to invest in LLM automation

Let’s dive in.

1. Why AI-Powered Automation Requires Specialized LLM Engineers

In 2025, LLMs are the backbone of intelligent automation. They no longer just generate text — they:

✔ Perform multi-step reasoning

✔ Interact with APIs and enterprise tools

✔ Trigger automated workflows

✔ Retrieve domain-specific knowledge

✔ Understand contextual patterns

✔ Execute long-horizon tasks using agent frameworks

This allows businesses to automate:

• customer support
• document processing
• compliance workflows
• research and analysis
• decision intelligence
• data extraction
• supply chain operations
• CRM automation
• HR onboarding
• finance reporting
• healthcare triage & processing

But implementing these systems requires deep LLM engineering expertise — something standard AI or software engineers cannot fully deliver.

That’s why companies increasingly hire LLM Engineers specifically for:

• Retrieval-Augmented Generation (RAG) pipelines
• Multi-agent automation frameworks
• Fine-tuning & domain adaptation
• Guardrails and safety layers
• LLM-driven workflow orchestration
• Cloud deployment for scalable automation

2. What LLM Engineers Actually Do

Before hiring LLM developers, it’s essential to understand what these professionals contribute.

LLM Engineers specialize in designing systems powered by advanced language models such as:

• GPT-5
• Claude 3.5
• Llama 4
• Gemini Ultra 2
• Grok 3
• Domain-specific fine-tuned models

Their core responsibilities include:

2.1 Build and Optimize RAG Pipelines

RAG (Retrieval-Augmented Generation) has become a standard for enterprise AI.

LLM developers design pipelines involving:

• vector databases (Pinecone, Weaviate, Chroma, Milvus)
• embeddings tuning
• chunking strategies
• metadata filtering
• hybrid search
• multi-modal retrieval

RAG ensures automation systems:

✔ stay factually correct
✔ access real-time data
✔ avoid hallucinations

2.2 Develop Multi-Agent Systems

AI-powered automation is increasingly based on agent frameworks like:

• LangChain Agents
• AutoGen
• LlamaIndex agents
• CrewAI
• Custom orchestration engines

LLM Engineers design agents that:

• plan tasks
• call tools
• execute code
• interact with APIs
• collaborate with other agents

This unlocks complex automation such as:

• financial reporting agents
• legal document analysis
• supply chain optimization
• compliance automation frameworks

2.3 Fine-Tune LLMs for Industry Use Cases

LLM developers train models using:

• LoRA / QLoRA
• PEFT
• instruction-tuning
• SFT (Supervised Fine-Tuning)
• reinforcement learning

Fine-tuned models perform better for:

• legal
• finance
• healthcare
• eCommerce
• manufacturing
• logistics
• cybersecurity

2.4 Build Guardrails & Safety Systems

Automation requires reliability and compliance.

LLM engineers design:

• input validation
• output filtering
• policy-based guardrails
• compliance layers (HIPAA, GDPR, FINRA, ISO)
• hallucination detection

2.5 Integrate LLMs with Enterprise Platforms

A key reason companies hire LLM developers is their integration expertise.

They connect AI with:

• ERP
• CRM
• HRMS
• BI systems
• Data warehouses
• APIs
• internal tools

2.6 Deploy and Scale LLM Workflows

LLM engineers handle:

• cloud deployment (AWS, Azure, GCP)
• GPU optimization
• serverless inference
• cost optimization
• monitoring and evaluation

Enterprise automation requires:

✔ fast inference
✔ low latency
✔ scalable architecture

3. Why Businesses in 2025 Are Investing in AI Automation

AI automation is no longer optional.

Modern enterprises use LLM automation to:

• Reduce repetitive manual work
• Improve accuracy & compliance
• Save operational costs
• Increase productivity
• Speed up decision-making
• Enhance customer experience
• Automate multi-step workflows
• Streamline document-heavy processes

Companies that do not adopt LLM automation are already falling behind competitors.

4. Types of Automation Projects That Require LLM Engineers

Here are the most common automation categories where specialized LLM engineering is essential.

4.1 Document Automation

Examples:

• contracts
• invoices
• claims
• medical records
• compliance reports
• legal summaries

LLM developers enable:

✔ extraction
✔ classification
✔ summarization
✔ structuring
✔ decision flow automation

4.2 Customer Support Automation

AI agents can handle:

• multi-step conversations
• escalation logic
• personalized recommendations
• knowledge retrieval
• CRM updates

LLM engineers build bots that are far more intelligent than classic chatbots.

4.3 Compliance Automation

Industries like healthcare, finance & insurance rely heavily on compliance.

Automation includes:

• policy checks
• regulatory extraction
• audit workflows
• reporting
• documentation verification

4.4 Sales & CRM Automation

LLM-driven systems can:

• score leads
• prepare proposals
• write follow-ups
• summarize calls
• update CRM entries
• recommend next actions

4.5 Enterprise Decision Intelligence

This includes:

• financial forecasting
• risk modeling
• supply chain predictions
• operational optimization

LLMs augment BI dashboards with contextual reasoning.

4.6 Software & Code Automation

AI agents can:

• generate code
• debug
• write documentation
• test applications

LLM developers build tool-enabled coding agents.

5. Skills to Look When You Hire LLM Developers

Before hiring an LLM engineer, evaluate them across the following technical categories.

5.1 Core LLM Expertise

Candidates should understand:

• Transformer architecture
• tokenization & embeddings
• attention mechanisms
• sequence-to-sequence modeling
• model evaluation

5.2 Fine-Tuning & Training Skills

Must know:

• LoRA
• QLoRA
• PEFT
• RLHF / RLAIF
• supervised fine-tuning workflows

5.3 RAG Architecture Knowledge

Key skills:

• vector databases
• embedding types
• retrieval optimization
• hybrid search
• context windowing

5.4 Agent Framework Knowledge

Candidates should know:

• LangChain agents
• AutoGen
• CrewAI
• LlamaIndex agents
• custom agentic workflows

5.5 MLOps & Deployment Expertise

Including:

• Docker
• Kubernetes
• MLflow
• TFX
• Kubeflow
• Vertex AI
• AWS Sagemaker

5.6 Domain Expertise

The best LLM engineers understand industry-specific nuances.

Examples:

• healthcare terminology
• financial regulations
• logistics operations
• manufacturing standards

5.7 Evaluation & Guardrails

Skills include:

• benchmarking frameworks
• hallucination detection
• safety & compliance practices
• red teaming

6. Step-by-Step Guide: How to Hire LLM Engineers in 2025

Here’s the hiring process businesses should follow.

Step 1: Define the Automation Goals

Examples:

• reduce manual document work
• automate customer support
• integrate LLMs into ERP
• create a multi-agent workforce

Step 2: Choose the Tech Stack

Most automation projects require:

• GPT-5 or Claude 3.5
• vector databases
• agent frameworks
• cloud deployment
• monitoring

Step 3: Create a Precise Job Description

List key expectations:

• RAG development
• agent orchestration
• enterprise integration
• fine-tuning
• compliance engineering

Step 4: Evaluate Technical Skills

Assess candidates with:

• hands-on tasks
• architecture design tests
• scenario-based questions

Step 5: Review Portfolio & Past Work

Look for:

• automation systems
• agent workflows
• enterprise integrations

Step 6: Conduct Soft Skill Evaluation

Important skills:

• communication
• problem-solving
• collaboration
• documentation

Step 7: Run a Paid Pilot Project

This validates:

• reliability
• quality of work
• speed
• decision-making

Step 8: Onboard and Integrate with DevOps

LLM engineers should:

• collaborate with backend teams
• integrate with data engineers
• align with compliance officers

7. Why Businesses Choose WebClues Infotech to Hire LLM Developers

WebClues Infotech offers:

• experienced LLM Engineers
• RAG & multi-agent system specialists
• domain-specific AI expertise
• secure and compliant engineering
• scalable deployment across cloud platforms
• flexible hiring models (hourly, part-time, full-time)

Conclusion: Hiring LLM Engineers Is Essential for Advanced AI Automation

In 2025, businesses that adopt advanced AI-powered automation will dominate their industries.
But success depends on hiring LLM developers who can:

• build intelligent systems
• orchestrate multi-agent workflows
• fine-tune models for domain accuracy
• ensure safety and compliance
• integrate AI across the enterprise

If your company is ready to automate complex processes and build the next generation of AI-powered workflows, hiring skilled LLM engineers is the smartest investment you can make.

How to Hire LLM Engineers for Advanced AI-Powered Automation Projects was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

The crypto market just reminded everyone it’s still alive and kicking. With Bitcoin reclaiming the 92K zone, Ethereum delivering a punchy 6% daily pump, and altcoins rotating into full risk‑on mode, fear is slowly giving way to cautious FOMO. A Fear and Greed Index reading of 30 says investors are still nervous — but price action clearly disagrees.

Crypto Market in the Last 24 Hours

Global crypto is trading in clear risk‑on mode, led by strong moves in Bitcoin and Ethereum and broad altcoin rotation into higher beta names. Total market liquidity and volumes remain elevated as investors increasingly price in easier monetary policy into 2026.

Bitcoin’s daily gain above 2% and Ethereum’s more than 6% jump have improved sentiment after several weeks of choppy consolidation. Capital is rotating from majors into select mid‑caps and narrative plays (L2, DeFi, AI), which typically happens in the later stages of a bullish leg within a larger uptrend.

​The Crypto Fear and Greed Index has climbed to 30.

Bitcoin & Ethereum Price — What Actually Moved

Bitcoin: Daily data shows BTC at about 92,723 USD for 10 December 2025, up from roughly 90,618 USD the previous day, a gain of around +2.3%. This move extends the rebound from late‑November lows near 86K-88K and reflects renewed spot demand after a shallow pullback from the 100K+ area in November.​

The main drivers in the last 24h are:

• Softer dollar and lower real‑yield expectations making BTC relatively more attractive as a macro hedge.​
• Improved risk appetite across tech and growth assets, with BTC following global liquidity indicators more than traditional “digital gold” narratives in the very short term.​

Ethereum: ETH is around 3,322 USD, up from roughly 3,125 USD a day earlier, a strong +6.3% daily move. This outperformance versus BTC fits a common pattern where ETH catches up after periods of underperformance and benefits from higher DeFi and L2 activity.​

Key ETH drivers:

• Valuation catch‑up after a multi‑month underperformance versus BTC since October highs around 3,800–4,100 USD.​
• Growing expectations for further rollup/L2 adoption and staking‑related yield demand, which supports a medium‑term “yield plus tech” narrative for ETH.​

3. Bitcoin On‑Chain (Last 24h) + VWAP Chart

Key Bitcoin On‑Chain Metrics (24h — indicative)

24h BTC Price Chart with VWAP

This structure keeps VWAP slightly below the closing price, with support around 90K and resistance in the mid‑90K area, matching the current daily context.

BTCUSD position: the add-on order has been triggered, so we now have four strategic entries in this trade. Impatient traders may choose to close the position right now and lock in a 1.42% profit, while more patient market participants can keep holding and trail risk by moving the Stop-loss higher to $87,877.

Ethereum On‑Chain Metrics (Last 24h)

High‑frequency Ethereum on‑chain data suggests increasing activity alongside the recent price breakout above 3.3K.​

In the ETHUSD position, the Double Stop strategy worked once again and the market has taken us into a Long setup. Our former Sell short order now acts as the Stop-loss order for this trade, with the add-on (position scaling) signal at $3,398.6.

DXY Performance & Why It Matters

The U.S. Dollar Index (DXY) is trading slightly softer versus recent weeks, hovering in the low‑100s, with recent readings drifting down from early‑Q4 peaks. Over the last day, DXY has been flat to marginally lower, which historically correlates with firmer BTC and ETH as the relative appeal of non‑yielding USD cash diminishes.​

The key reasons DXY is no longer aggressively bid are:

• Markets anticipate a gradual Fed easing path into 2026, compressing interest‑rate differentials that previously strengthened the dollar.​
• Reduced “flight to safety” demand as global risk sentiment stabilizes, allowing capital to flow back to crypto and high‑beta assets.​

Top 5 Altcoin Performers (Indicative 24h Snapshot)

Exact leaders rotate intraday, but the structure is clear: capital is moving down the risk curve from BTC/ETH into higher‑beta altcoins as confidence returns.​

Current Market, BTC & ETH Outlook

From an investor’s perspective, the combination of rising prices, healthy (but not euphoric) on‑chain activity, and a softening dollar supports a cautiously bullish near‑term bias.

Bitcoin:

• As long as BTC holds above the 90K-88K support region, the path of least resistance remains towards retesting psychological levels near 95K-100K over coming weeks.​
• A daily close back below 88K would flip the picture into a deeper consolidation, potentially targeting the mid‑80K range where previous demand emerged.​

Ethereum:

• ETH’s strong +6% daily move opens room for a push towards the 3.5K-3.7K band where supply appeared in October/November, especially if DeFi and L2 metrics continue improving.​
• Losing 3.1K support on a daily close would likely drag price back into the high‑2K consolidation zone before any renewed attempt higher.​

Overall, the market structure currently favors buy‑the‑dip strategies in BTC and ETH over aggressive shorting, but volatility remains high and position sizing is critical.

High‑Potential Crypto Projects — One Per Key Theme

Investors looking beyond large caps often search for projects with strong fundamentals, real usage, and alignment with major narratives (scaling, infrastructure, AI, DeFi). The following are widely cited as having notable upside potential into 2026, but still carry full crypto risk.​

• Layer‑1 scalability — Sui (SUI): High‑throughput smart‑contract platform focused on gaming and consumer apps, using parallel execution and object‑centric design for better UX and performance.​
• Layer‑2 / scaling — Optimism (OP) or similar L2: Rollup‑based scaling built around Ethereum, capturing fees and governance in the L2 stack as on‑chain activity migrates from mainnet.​
• DeFi infrastructure — A leading DEX/aggregator token: Revenue‑sharing and protocol‑fee models give tokenholders leveraged exposure to on‑chain volumes as TVL grows.​
• AI‑linked crypto — AI infrastructure or data‑market tokens: Positioned at the intersection of AI and Web3, monetizing compute, models, or datasets through tokens.​
• Real‑world assets (RWA) — tokenized T‑bill / credit protocols: Benefit from the structural trend of bringing traditional yield‑bearing instruments on‑chain.​

These ideas are starting points, not buy recommendations; every project requires deep due diligence on tokenomics, unlock schedules, team, regulatory exposure, and actual on‑chain traction.

Crypto Conclusion

Crypto is back in “confidence but not arrogance” mode. Prices are rising, on-chain activity looks healthy, and the dollar is behaving nicely-almost too nicely. Just remember: in crypto, patience earns money… while overleverage earns life lessons.

Source: Coincentral.com, Tradingview.com, Coinranking.com, Coingecko.com, Coinmarketcap.com

More about Crypto market .

Originally published at https://aipt.lt on December 10, 2025.

Why Crypto Bulls Are Back After a Powerful 24-Hour Surge was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

There is a moment almost every global platform hits.
It rarely shows up in dashboards or board meetings.
It reveals itself quietly, one payout delay or one frustrated seller at a time.

In the early days, payment operations seem harmless.
You collect money from buyers, you pay out to sellers, and the platform sits comfortably in the middle. Nothing unusual.

Then you add more markets.
More currencies.
More banking partners.
More users testing your edges.

Eventually payments stop being a background function.
They become the operational weight you feel everywhere.

If you ask product managers, finance leads, or ops teams who have lived through this, they’ll tell you the same thing:

Global user payments get hard far earlier than anyone expects.

Here are the lessons platforms usually learn only after the fires begin.

1. Compliance does not scale with your user base. It compounds.

Most teams start with a simple approach. Collect IDs. Run them through a vendor. Approve or reject. Move forward.

This works until the second or third market.
After that, compliance stops being a linear task. It becomes a shifting map of rules.

One country wants stricter AML thresholds.
Another requires localised document formats.
Some expect purpose codes.
Some regulate which currencies can be held.

Your initial workflow bends until it eventually breaks.
Support queues grow. Approvals slow. Product teams add exceptions just to keep signups moving.

Platforms eventually realise something important:
KYC and onboarding are not one workflow. They are many workflows pretending to be one.

2. Onboarding issues appear long before your data shows they exist

When you enter a new geography, early users almost always struggle first.
Documents that worked elsewhere get rejected.
Risk scoring behaves differently because behaviour patterns differ.
Verification steps that feel normal in one market feel foreign in another.

Most platforms only discover the problem after conversion rates dip.
And by then, it is already affecting growth.

3. FX exposure quietly eats into your margins

No platform starts with an FX strategy.
They assume money arrives as billed and the bank handles the rest.

But as payment volume increases, the cracks become obvious.

Currencies land unpredictably.
Banks auto convert without warning.
Ledger values drift from bank statements.
Double conversions appear in flows you thought were straightforward.

This is how platforms end up losing margin without noticing it.
Not because FX is inherently expensive, but because the platform has no control over when conversion happens.

4. Settlement delays create more distrust than any product bug

Ask any seller or vendor what frustrates them most.
It is rarely pricing.
Rarely product limitations.
It is almost always payouts that land later than expected.

Cross-border settlements depend on too many external parties.
Correspondent banks. Clearance windows. Routing logic. Compliance checks.
A payout that should take twelve hours can easily take forty-eight. Sometimes longer.

The painful part is that the platform often cannot explain the delay.
And users do not care whether the delay came from an intermediary. They simply feel the platform is unreliable.

Slow money slows trust.

5. Reconciliation becomes a daily firefight

At small scale, reconciliation feels like an accounting task.
At scale, it becomes its own operational problem.

Shared accounts mix user funds.
Clearing references differ between banks.
Automatic conversions distort ledger entries.
Currencies shift mid-route.
Finance teams spend their mornings sorting transactions manually.

The real issue is structural.
The platform has outgrown generic bank accounts and needs user-level attribution.

This is usually the moment teams start searching for a different approach.

The turning point: when platforms realise they need an OBO model

After months of patching, teams eventually reach the same conclusion.
You cannot fix cross-border payment issues one by one.
You have to rebuild the foundation.

That is where On-Behalf-Of payment infrastructure comes in.

OBO brings three elements together that platforms normally struggle with in isolation:

1. A unified compliance framework.
Instead of building onboarding rules market by market, platforms tap into a licensed layer that handles verification, monitoring, and regulatory requirements consistently.

2. Named or virtual accounts for users.
Every user, seller, or workflow has its own account reference.
Incoming funds are attributed cleanly.
No accidental conversions.
Reconciliation becomes mechanical instead of investigative.

3. Payout orchestration that platforms can actually control.
Instead of relying on whichever bank route is chosen that day, payouts follow a structured, predictable flow with clear visibility.

The complexity does not disappear.
It becomes organised.

Platforms stop reacting to problems and start operating from a controlled system.

If you want a more structural explanation of how this works in practice, the corresponding article breaks it down from a technical and operational angle.

What changes once OBO infrastructure is in place

Teams report the same improvements again and again:

Onboarding becomes predictable because compliance is handled through one regulatory framework.

FX becomes intentional because conversions only happen when the platform decides.

Payouts become reliable because routing is controlled rather than left to chance.

Reconciliation becomes clean because every inflow and outflow has an attributed owner.

Treasury becomes strategic because money is no longer scattered across markets or trapped in local accounts.

Most importantly, platforms get back something they rarely have while scaling.

Control.

The real bottom line

Global payments always seem manageable until the day they aren’t.
The complexity builds slowly and then all at once.

Compliance.
FX drift.
Unpredictable settlements.
Reconciliation failures.
User dissatisfaction.

None of these are product problems.
They are structural problems.

And structural problems require structural solutions.

On-Behalf-Of infrastructure gives platforms a way to handle payments across regions without letting payments dictate their roadmap. It turns the messy parts of global money movement into predictable building blocks that teams can actually scale with.

The sooner platforms adopt it, the sooner the rest of the business stops feeling like firefighting and starts feeling like growth again.

What Every Platform Eventually Learns About Handling User Payments Across Borders was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

In the transparent world of blockchain, where every Bitcoin transaction is etched permanently on a public ledger for anyone to scrutinize, a quiet revolution is unfolding. This revolution challenges the very notion that finance must be visible to be secure. Recent headlines from massive data breaches exposing user financial histories to sophisticated blockchain analysis firms tracking donations and purchases have laid bare a critical vulnerability in the crypto ecosystem: the pervasive lack of transactional privacy. This exposure isn’t just a theoretical concern; it poses risks of targeted hacks, financial censorship, and undue surveillance, chilling the promise of a truly open and permissionless financial system.

Enter the vanguard of cryptographic innovation: Privacy Coin Development. Far from being tools for obscurity alone, privacy coins represent a fundamental leap in how we conceptualize security in the digital age. They are not merely currencies but sophisticated security platforms engineered to protect user sovereignty. This blog delves deep into how the specialized field of Privacy Token Development is moving beyond basic encryption to deploy advanced cryptographic shields, fundamentally transforming crypto security from a ledger-based transparency model to a user-centric confidentiality paradigm. By redefining what it means to be secure, privacy coins are building a more resilient, trustless, and ultimately safer foundation for the future of decentralized finance.

Privacy Coins: A Beginner’s Overview

What Are Privacy Coins?
Privacy coins are a specialized class of cryptocurrencies designed explicitly to conceal transaction details that are typically public on standard blockchains like Bitcoin or Ethereum. While a Bitcoin transaction reveals sender and receiver addresses and the transacted amount, privacy coins employ advanced cryptographic techniques to obscure this data. The core philosophy is that true financial security encompasses confidentiality the right to control one’s financial information. Privacy Coin Development focuses on integrating these confidentiality features at the protocol level, creating a robust shield against surveillance and analysis.

Popular Privacy Coins in the Market
Several pioneering projects exemplify the diverse approaches within Privacy Token Development:

Monero (XMR): Arguably the most famous privacy coin, Monero mandates privacy for all transactions. It uses a combination of ring signatures (to hide the sender), stealth addresses (to protect the receiver), and Ring Confidential Transactions (RingCT) (to conceal the amount). It offers strong, default-on privacy.

Zcash (ZEC): Zcash introduced the groundbreaking zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Argument of Knowledge) to the crypto world. It offers users a choice: “shielded” transactions for full privacy or “transparent” transactions that function like Bitcoin. This “selective privacy” model is a key architectural decision in its development.

Dash: Often termed a “privacy-optional” coin, Dash offers PrivateSend, a coin-mixing feature based on a decentralized masternode network. While not as comprehensively private as Monero or Zcash at the protocol level, it provides a practical layer of fungibility for users who opt-in.

Importance of Privacy in Crypto
Privacy is not synonymous with illegality; it is a cornerstone of legitimate security and fungibility. Without it:

Financial Surveillance: Entities can map entire financial histories, leading to profiling and potential discrimination.

Loss of Fungibility: If certain coins are “tainted” by association with previous transactions (e.g., from a gambling site), merchants or exchanges may devalue or refuse them, breaking the core monetary principle that each unit is equal to another.

Targeted Attacks: Public wealth makes users targets for phishing, hacking, and even physical theft.

Thus, Privacy Token Development directly addresses these critical security flaws inherent in transparent ledgers.

Core Technologies Behind Privacy Coins

The magic of privacy coins lies in their use of cutting-edge cryptography. Privacy Coin Development is essentially the art and science of implementing these technologies into a functional, secure, and scalable network.

Zero-Knowledge Proofs (ZKPs)
Picture proving your knowledge of a secret without exposing it. That’s the power of ZKPs. A prover can convince a verifier that a statement is true (e.g., “I have sufficient funds for this transaction”) without revealing any underlying data (like their balance or address). Zcash’s zk-SNARKs are a highly efficient form of ZKP, enabling fully encrypted transactions that are still verified as valid by the network.

Ring Signatures
Used by Monero, ring signatures mix a user’s transaction signature with a group of other, decoy signatures (the “ring”). To an outside observer, every member of the ring is an equally probable sender. This technique effectively anonymizes the sender by obfuscating the origin of the transaction within a crowd.

Stealth Addresses
For every transaction, a one-time, unique address is automatically generated for the recipient. Even if the same sender sends funds multiple times to the same person, the public ledger will show payments going to completely different, unlinkable addresses. This is crucial for protecting receiver anonymity and is a staple in Privacy Coin Development.

Other Advanced Techniques
Bulletproofs: A more efficient type of range proof integrated into Monero to significantly reduce the transaction size and fees associated with RingCT, enhancing scalability.

MimbleWimble: A novel blockchain protocol (used by Grin and Beam) that combines transactions to obscure inputs and outputs. It offers strong privacy and scalability by eliminating the need for historical transaction data, allowing for extreme blockchain “compaction.”

zk-STARKs: A successor to zk-SNARKs that doesn’t require a trusted setup (removing a potential vulnerability) and offers potentially better scalability, though with larger proof sizes.

How Privacy Coin Development Enhances Crypto Security

The work in Privacy Token Development elevates security from network integrity to comprehensive user protection.

Securing Transaction Data
By encrypting or obfuscating amounts, origins, and destinations, privacy coins make blockchain analysis a primary tool for forensic investigators and hackers alike ineffective. This prevents third parties from building spending profiles or identifying transactional relationships.

Protecting User Identity
The separation of on-chain activity from real-world identity is paramount. Stealth addresses and ring signatures break the deterministic link between a public address and an individual. This protection is vital for businesses and individuals in high-risk environments or those simply valuing financial autonomy.

Reducing Risk of Hacks & Exploits
Transparent blockchains expose wealth concentration, making large holders (“whales”) and exchanges prime targets for sophisticated attacks. Privacy coins eliminate this public display of wealth, adding a critical layer of obfuscation that makes identifying and targeting high-value accounts vastly more difficult.

Building Trust in Decentralized Networks
Paradoxically, enhanced privacy builds greater trust. Users are more likely to adopt and transact in a system where they know their financial data is not being exploited. This fosters a healthier, more secure, and genuinely decentralized ecosystem, as power shifts from surveillance entities back to the individual.

Key Features of Privacy Coins

Modern Privacy Coin Development aims to bake several non-negotiable features into the protocol:

Confidentiality & Untraceability: The bedrock feature. All metadata sender, receiver, amount is cryptographically concealed.

Fungibility: Every coin is interchangeable and equal, as its history cannot be traced or “tainted.” This is essential for a currency to function as a reliable store and medium of exchange.

Decentralization & Secure Consensus: Privacy should not come at the cost of centralization. Leading privacy coins maintain distributed consensus mechanisms (Proof-of-Work, Proof-of-Stake variants) to ensure network security and censorship-resistance.

Anti-Censorship & Surveillance Resistance: Protocols are designed to be resilient against attempts to block or blacklist transactions based on their origin or history.

Optional Transparency (Selective Disclosure): Some implementations, like Zcash, allow users to provide “view keys” or use transparent addresses for auditability or regulatory compliance, offering flexibility without compromising the core privacy functionality.

Use Cases of Privacy Coin Development in Real-World Applications

Secure Peer-to-Peer Payments
The foundational use case: individuals can transfer value globally without exposing their financial networks or wealth to peers, family, or malicious actors.

Enterprise-Level Privacy Solutions
Businesses can use privacy tokens for confidential payroll, secure B2B transactions, and protecting sensitive supply chain financial flows from competitors. It safeguards corporate treasury management on-chain.

Decentralized Finance (DeFi)
As DeFi grows, the lack of privacy becomes a critical weakness. Privacy Token Development is pioneering “confidential DeFi” where users can lend, borrow, and trade without exposing their positions or strategies, preventing front-running and predatory market tactics.

Regulatory Considerations
Responsible Privacy Coin Development proactively engages with compliance challenges. Techniques like zk-SNARKs allow for the creation of audit trails that can be revealed under specific, user-controlled conditions (e.g., to a regulator with a warrant), balancing individual privacy with legitimate legal frameworks and Anti-Money Laundering (AML) principles.

Challenges in Privacy Coin Development

The path forward is not without significant hurdles:

Intense Regulatory Scrutiny: Privacy coins face pressure from regulators and exchanges wary of compliance challenges, leading to delistings in some jurisdictions.

Scalability & Performance: Because zk-SNARKs and ring signatures require significant processing, they often create bulkier transactions and performance issues, prompting continuous development work.

User Adoption & Misconceptions: Many still link privacy to illegal use, creating barriers to wider acceptance. Educating users on the legitimate security benefits is crucial.

Technical Complexity: Implementing and auditing these sophisticated cryptographic systems requires deep expertise, raising the barrier to entry and the risk of critical bugs if not done correctly.

The Future of Privacy Coin Development and Crypto Security

The trajectory points toward greater integration and sophistication:

Hybrid Models & Privacy Layers: Expect more projects offering privacy as an optional layer or “shield” on top of existing transparent assets, rather than standalone coins.

Advancements in ZK Technology: zk-rollups and validiums are scaling solutions that leverage ZKPs, bringing efficient, private transactions to Ethereum and other Layer 1 networks. Confidential smart contracts are the next frontier.

Mainstream Convergence: As digital asset adoption grows, demand for financial privacy will surge. Privacy Coin Development principles will increasingly influence mainstream crypto projects, making privacy features a standard expectation rather than a niche offering.

Enhanced Security Paradigm: The future of crypto security will be defined by architectures that are private by default, where user data protection is integral, creating a more robust and attack-resistant ecosystem for everyone.

Conclusion

Privacy Coin Development is far more than a cryptographic arms race; it is a fundamental re-engineering of the security premises of digital money. By shifting the focus from transparent validation to confidential execution, it addresses the critical vulnerabilities of public ledgers and builds a more secure, fungible, and user-empowered financial layer. This transformative work ensures that cryptocurrency can fulfill its promise as a tool for genuine individual sovereignty.

The evolution from basic transparency to assured confidentiality marks a maturation of the entire blockchain space. Whether you are a user, investor, or developer, understanding and engaging with the principles of Privacy Token Development is essential for navigating the secure future of finance.

How Privacy Coin Development Is Transforming Crypto Security was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

It is 2026. The digital travel landscape has shifted. The days of manual data entry, guessing games with pricing, and awkward introductory messages are ancient history. Today, efficiency is the currency of the hospitality industry.

Imagine a host named Sarah. In 2024, she spent hours agonizing over the perfect property description and days worrying if her pricing was competitive. Now, in 2026, she launches her property on your Airbnb clone app, and within seconds, AI has crafted a compelling narrative for her, priced it perfectly for the upcoming festival weekend, and even handled her initial guest inquiries with professional warmth.

This seamless experience is what separates the market leaders from the forgotten platforms. For entrepreneurs building their empire with an Airbnb Clonescript, these specific AI integrations are no longer optional; they are the engine of your growth.

Here are the specific AI-powered features that will define the next generation of vacation rental platforms.

1. AI Listing Generator: The End of Writer’s Block

The biggest barrier to entry for new hosts has always been the “blank page” problem. How do you describe a studio apartment in a way that sounds magical?

In your 2026 Airbnb clone, the AI Listing Generator solves this instantly. Hosts simply input basic details square footage, amenities, and location, and the AI generates a captivating, SEO-optimized title and description. Similar to advanced tools like PriceLabs STRings, this feature uses natural language processing to highlight unique selling points that a human might miss. It turns a “cozy room” into a “sun-drenched urban sanctuary,” significantly increasing views and conversion rates without the host typing a single sentence.

2. Smart Pricing Suggestions

Pricing is a high-stakes game. The price is too high, and the calendar stays empty. The price is too low, and you leave money on the table.

The Smart Pricing Suggestions feature acts as a 24/7 revenue manager for your hosts. Instead of static rates, the AI analyzes real-time market trends, local demand surges, seasonality, and competitor data to suggest the optimal nightly rate. This ensures that your vacation rental script (market context) isn’t just a booking tool, but a profit-maximization engine. Hosts can trust that their pricing is always competitive, maximizing their yield during peak seasons like holidays or local events.

3. Smart Guest Messaging

For guests, the anxiety of booking, especially for large groups or complex trips, often lies in the details. How do I tell the host we have a toddler? What if our flight is late?

With Smart Guest Messaging, the booking experience becomes intuitive. During the reservation process, the AI analyzes the trip details, dates, vacation type (leisure vs. business), and group size and instantly generates a personalized message for the guest to send. It bridges the gap between a transaction and a relationship, ensuring the host receives all the necessary context in a polite, structured format. This reduces friction and sets a positive tone before the booking is even confirmed.

4. AI-Powered Enquiry Assistant

The “Contact Host” button can be a hurdle. Guests often don’t know what to ask or how to phrase their needs, leading to vague inquiries that frustrate hosts.

The AI-Powered Enquiry Assistant transforms this interaction. When a guest opens the contact form, the AI suggests friendly, relevant message drafts based on the property details and the guest’s search criteria. It makes communication effortless, professionalizing the guest’s inquiry and increasing the likelihood of a host responding positively. It turns a tentative “is this available?” into a meaningful conversation starter.

5. Subscription-Based AI Access

Monetization is the heartbeat of your business model. In 2026, AI isn’t just a utility; it’s a premium product.

Your Airbnb Clone script should include a Subscription-Based AI Access module. This allows you to gate these powerful features, auto-messaging, smart listings, and pricing insights behind a paid tier. By offering a “Pro” subscription to hosts, you create a recurring revenue stream that goes beyond simple booking commissions. Hosts are willing to pay for tools that save them time and earn them more money, turning your platform into a SaaS (Software as a Service) powerhouse.

6. Admin Control Center

Power is nothing without control. As the platform owner, you need oversight on how these AI tools are utilized.

The Admin Control Center is your command deck. It gives you full authority to enable or disable specific AI features at any time. Whether you want to roll out the AI Listing Generator only to verified hosts or temporarily disable Smart Pricing during a system update, this centralized dashboard ensures you are always in the driver’s seat. It allows for granular management of your ecosystem, ensuring safety and quality control across your Airbnb clone app.

Conclusion: Partnering for the Future

The vacation rental market is evolving rapidly. To capture the attention of modern hosts and travelers, your platform must offer more than just a calendar and a payment gateway. It must offer intelligence.

Integrating these six specific AI features will position your platform as a forward-thinking leader in 2026. However, building this technology from scratch is a massive undertaking. You need a development partner who understands the nuances of the sharing economy.

Rental Script is a leading clonescript development company equipped to bring these advanced visions to life. With their expertise in crafting sophisticated rental solutions, they can help you deploy a feature-rich, AI-driven platform that dominates the market.

Game-Changing AI Features Your Airbnb Clone Must Have in 2026 was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

How Smart Money Trades the New York Session Using Institutional Levels, Liquidity Targets, and Bank Zones (Complete 2026 Breakdown)

The New York session is the engine room of global Forex trading — where more than $2 trillion shifts hands daily and where the world’s largest banks aggressively push price toward liquidity, institutional levels, and planned accumulation zones. While retail traders chase random breakouts or indicators lagging behind real movement, institutions use algorithmic price delivery, engineered liquidity grabs, and precise bank levels that repeat every single day.

This is why retail fails, and smart money wins.

If you’re serious about trading the NY session profitably, you must understand how banks set traps, where liquidity pools are positioned, and how institutional order blocks generate the most powerful reversals of the day.

This guide breaks down a complete NY session trading strategy for 2026, designed to help you:

✅ Trade with the banks, not against them
✅ Predict institutional reaction zones
✅ Catch 60–150 pip moves daily
✅ Build prop-firm-passable consistency
✅ Apply the same rules used in The Institutional FX Code

You’re about to learn the exact model professional traders use during the NY session — not retail tricks, but institutional flow, liquidity engineering, and bank-level manipulation.

What Are Bank Levels in the NY Session?

Bank levels are pre-engineered price zones where institutions place massive orders to enter or exit positions. These levels do not appear randomly on the chart — they form:

✔ above liquidity highs
✔ below liquidity lows
✔ at session imbalances
✔ around key algorithmic delivery lines

Inside The Institutional FX Code, these levels are broken down into predictable zones that repeat across London and New York sessions with more than 80% accuracy.

Think of bank levels as “institutional traps and re-entry zones.”
This is where banks accumulate positions… and where retail gets liquidated.

Why the New York Session Is the Best for Institutional Trading

Out of all trading sessions, the NY session is the most predictable for smart money traders because:

1. It overlaps with London for 4 hours

This creates massive liquidity injections and algorithmic efficiency.

2. Volatility is engineered intentionally

Banks move price more aggressively in NY to enter large positions.

3. Directional bias is clearer

The market reveals its true intent once NY opens.

4. Liquidity hunts happen with precision

Asian highs/lows are manipulated almost every day.

5. Perfect for high-RR trades

It’s common to catch 60–150 pip moves using the strategy below.

Mastering the Market Before Sunrise: The Hidden Power of Gold Trading Strategy in the Asian Session

Step-by-Step NY Session Strategy (Institutional Method)

Below is the exact framework used by institutional-style traders.

The Institutional Fx Code includes the full setup.

Step 1: Mark the Asian Session Range (2 AM — 8 AM EST)

Asian session = liquidity creation.

NY session = liquidity destruction.

Banks use Asian highs/lows as hunting zones.
Most NY session moves begin with a:

✔ wick above the Asian high → drop
✔ wick below the Asian low → rise

This is the first confirmation of institutional intent.

Step 2: Identify Order Blocks (Smart Money Core)

You need two types:

Bullish Order Block

The last bearish candle before a strong move up.

Bearish Order Block

The last bullish candle before a strong move down.

These blocks are institutional footprints — banks leave them behind as clues of where they entered positions.

Inside The Institutional FX Code, these are refined into:
• Precision blocks
• Premium/discount zones
• Institutional re-entry lines
• Confirmation blocks

Step 3: Watch for Liquidity Grabs at NY Open

New York session begins with one thing:

Stop hunts.

Price typically spikes above a high or below a low to trigger:
✔ Retail stop losses
✔ Pending orders
✔ Breakout traders
✔ Early-session buyers/sellers

This is the trap phase, and recognizing it is what separates smart money from retail.

Example:

False breakout above Asian high → rapid reversal → institutional sell move begins.

Step 4: Apply The Institutional FX Code Core Strategy

This is the real power behind the method.

The core strategy includes:

✔ Insider Strategy — identifying guaranteed levels
✔ Institutional Zones — mapping daily reaction areas
✔ Smart Money Timing — exact NY open timing model
✔ Order Flow Confirmation
✔ Session-based risk management system

This turns the NY session into a mechanical, rule-based model.

Step 5: Enter When Price Returns to the Bank Level

Don’t enter on the first spike.
Enter when price retraces into an order block or bank level and shows:

✔ institutional rejection
✔ displacement
✔ continuation candle
✔ break of structure

This simple rule filters 70% of retail losses.

80% Accuracy Take Profit System (NY Session Model)

TP Level 1 (1:2 RR)

Take profit at:
✔ previous session high/low
✔ first liquidity pool

Close 50%.
Move SL to breakeven.

TP Level 2 (1:3–1:4 RR)

Take profit at:
✔ next institutional level
✔ major premium/discount imbalance

Close another 30%.
Trail stop using order blocks.

TP Level 3 (1:5+ RR)

Take profit at:
✔ daily high/low
✔ round numbers
✔ session extremes

Let the runner go until the opposite OB appears.

Session-Specific Take Profit Targets

London Session

TP1: 30–50 pips
TP2: Prior day high/low
TP3: Weekly level

New York Session

TP1: 60–100 pips
TP2: Opening range extreme
TP3: 150+ pips (very common on high-volume days)

The Secret to Passing Prop Firm Challenges: Enter After the Manipulation Is Done

Rule-Based Take Profit System:

TP Level 1 (Conservative): 1:2 Risk-Reward

• Target: Previous session high/low
• Exit: 50% position at TP1
• Move SL: To breakeven after TP1 hit

TP Level 2 (Standard): 1:3 to 1:4 Risk-Reward

• Target: Next major institutional level
• Exit: 30% position at TP2
• Trail SL: Use order blocks as trailing stop

TP Level 3 (Runner): 1:5+ Risk-Reward

• Target: Daily high/low or major round number
• Exit: Remaining 20% position
• Trail: Let it run until opposite order block appears

The Complete Institutional FX Framework (Master System)

The NY session strategy above is only one part of the full trading system. The complete package includes:

1. The Monarch Effect Strategy

For high-probability reversals.

2. The Goldmine Strategy

Precision entry timing confirmation on Gold

3. The $20 Trader Method

For small account exponential growth.

4. Institutional Zones Blueprint

For daily guaranteed levels.

5. Advanced Order Flow Reading

To identify what banks are planning before they move liquidity.

When combined, these create a full institutional trading ecosystem, suitable for:

✔ prop firm challenges
✔ gold trading
✔ currency pairs
✔ indices
✔ Asian → London → New York sequences

Master the NY Session Like a Bank

Trading the New York session is not about guessing.
It’s about understanding:

✔ where institutions want liquidity
✔ how they engineer liquidity grabs
✔ where they place orders
✔ how algorithmic pricing behaves
✔ which levels repeat every day

Once you learn these patterns, the NY session becomes the most profitable and predictable period of the entire trading day.

You will be able to:

🔥 Stop chasing fake breakouts
🔥 Enter at the same price as banks
🔥 Ride moves that last the entire session
🔥 Hit high-risk reward trades consistently
🔥 Trade with confidence and precision

Master this approach, and you’ll never look at the New York session the same way again.

👉 Get Instant Access to The Institutional FX Code

Transform your trading. Trade with institutions. Stop trading like retail.

The Expansion Code — How to Catch the Institutional Move Before It Happens

The Complete New York Session Forex Trading Strategy [2026 Guide] was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.

Has anyone ever predicted your future?

Most of the people say no because the future is unpredictable.

But in the crypto industry, predicting the future is actually possible.

If you can predict the price of a cryptocurrency, you can earn massive profits.

And that’s where the Delta Exchange Clone Platform becomes valuable.

With this platform, you can trade crypto through both derivatives and spot trading, opening the door to huge earning opportunities.

If you don’t know what the Delta Exchange Clone trading platform is, this blog is exactly for you.

Delta Exchange Clone Script — Overview

A Delta Exchange Clone Script is a ready-made software solution that allows you to build your own crypto trading platform just like Delta Exchange. Instead of creating an exchange from scratch, you can use this clone script to launch a fully functional trading platform quickly. With this script, users can trade in crypto derivatives and spot trading, just like they do on Delta Exchange.

How Does It Work?

The Delta Exchange Clone Script works like a ready-to-use trading engine that powers a complete crypto exchange platform. It operates through a structured workflow that guides users seamlessly from account creation to live trading. Let’s look at the process in simple steps:

1. User Registration & Verification
2. Wallet Creation & Fund Deposit
3. Choose Trading Market
4. Analyse the Market
5. Place Trading Orders
6. Profit & Risk Management
7. Admin Monitoring

With this easy workflow, traders can experience a fast, secure, and profitable trading environment just like on the Original Delta platform.

Key Features of Delta Exchange Clone Software

Delta clone software provides seamless trading experiences for beginners and expert traders, ensuring high performance and complete security. Here are the top features that make this platform powerful and business-ready:

• Crypto Derivatives & Spot Trading
• Advanced Trading Charts & Indicators
• Multiple Order Types
• High-Liquidity & Fast Trading Engine
• Secure Wallet Integration
• KYC/AML Verification
• Powerful Admin Dashboard
• Multi-Currency & Multi-Language Support
• Two-Factor Authentication (2FA)
• Referral & Affiliate System
• Mobile App Support (Android & iOS)

These features enable entrepreneurs to launch a world-class crypto trading platform that supports advanced trading options, fast transaction processing, and enterprise-level security, making it a perfect solution for scaling your crypto business.

Key Benefits Of the Delta Exchange Clone

A Delta Exchange Clone offers several benefits that help entrepreneurs launch a professional crypto trading platform quickly and cost-effectively. Here are the major advantages:

• Quick Launch
• Cost-Effective Development
• Fully Customizable
• Advanced Trading Options
• High Security
• Scalable Performance
• Multiple Revenue Streams
• Admin Control & Automation
• Market-Ready Features

These benefits make them a powerful choice for building a profitable, modern, and user-friendly crypto trading platform. It gives you everything you need to launch, manage, and grow a successful crypto exchange with confidence.

Revenue Streams of a Delta Exchange Clone Script

A Delta Exchange Clone Script can generate multiple revenue sources through various earning channels in a crypto derivatives exchange. They are listed below.

• Trading Fees
• Deposit & Withdrawal Charges
• Funding Fee Settlement
• Listing Fees
• Market Making & Liquidity Revenue
• Staking & Lending Revenue

These diverse revenue models ensure long-term profitability and sustainable business growth for the platform.

Conclusion

Until now, we’ve explored how a Delta Exchange Clone Script can be used and what its features and benefits are. I believe everything should be clear and easily understandable by this point. However, even if you fully understand the concept, one important question remains, if you don’t already have a platform like this, how will you build one?

For that, I would recommend a trusted crypto exchange development company that I know of, ApziX. They are experts in building customised platforms based on their clients’ needs. They also provide affordable pricing and deliver projects quickly.

Future of Crypto Derivatives Trading: Why the Delta Exchange Clone Script Leads the Market was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.