# Automation Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Automation", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

OpenServ and Neol Advance Enterprise-ready AI Reasoning Under Real-world Constraints

OpenServ and Neol have formed a foundational design partnership to advance enterprise-ready AI reasoning in high-stakes, regulated environments. The collaboration focuses on applying OpenServ’SERV’s reasoning framework to real-world production settings where accuracy, reliability, and development speed are critical. Neol, an AI-powered network intelligence platform used by enterprises and governments, is working with OpenServ to refine structured reasoning, workflow decomposition, and bounded decision-making under operational constraints. Insights from the partnership are being documented in an upcoming case study. As a result, OpenServ is integrating these tested reasoning patterns directly into its platform, ensuring all workflows inherit enterprise-grade discipline by default. The work builds on OpenServ’s earlier research on bounded reasoning for autonomous inference and decisions.

TheNewsCrypto01/15 13:18

OpenServ and Neol Advance Enterprise-ready AI Reasoning Under Real-world Constraints

TheNewsCrypto01/15 13:18

The Moment Ozak AI Lists at $1, Its Price Could Skyrocket Toward $5 — And If It Reaches $50 by 2029, Early Buyers Could Retire Early

Ozak AI ($OZ) is an AI-powered crypto project combining artificial intelligence with decentralized infrastructure (DePIN). Currently in Phase-7 of its presale, the token is priced at $0.014, with over 1.07 billion tokens sold and $5.42 million raised. It aims for a $1 listing price, with projections suggesting potential growth to $5 post-listing and even $50 by 2029 if adoption accelerates. The platform offers predictive analytics, automated market intelligence, and cross-chain functionality, supported by partnerships with SINT, Hive Intel, Weblume, and Meganet to enhance utility and security. Its DePIN architecture enables distributed computing and scalability, while the $OZ token facilitates staking, governance, and ecosystem growth. Early investors showing strong conviction, the project targets becoming a core intelligence layer in Web3, positioning it for significant long-term growth.

TheNewsCrypto01/09 11:06

The Moment Ozak AI Lists at $1, Its Price Could Skyrocket Toward $5 — And If It Reaches $50 by 2029, Early Buyers Could Retire Early

TheNewsCrypto01/09 11:06

Ripple’s GTreasury Acquires Solvexia to Expand Compliance and Automation Capabilities

Ripple's corporate treasury management company, GTreasury, has acquired automation firm Solvexia, marking Ripple's first acquisition of 2026. The deal, finalized on January 7th, aims to enhance compliance and automate processes like transaction verification and regulatory reporting by integrating Solvexia's low-code platform. GTreasury's CEO stated the combination provides unprecedented visibility and control for finance functions, helping organizations manage both fiat and digital asset transactions while reducing regulatory risks. This move further connects traditional finance with the crypto industry, with XRP and RLUSD playing significant roles. Despite the news, XRP's price decreased by 4.8% to $2.25, with trading volume also declining.

TheNewsCrypto01/07 13:21

Ripple’s GTreasury Acquires Solvexia to Expand Compliance and Automation Capabilities

TheNewsCrypto01/07 13:21

MEXC Launches Spot DCA To Support Automated Investment Strategies

MEXC, a leading digital asset exchange, has launched Spot DCA, a new feature designed to automate dollar-cost averaging (DCA) investment strategies. This tool allows users to build long-term cryptocurrency positions systematically by executing purchases at user-defined intervals within specified price ranges, rather than on fixed dates. It is aimed at users seeking a disciplined, rule-based approach to accumulate assets, reduce the impact of market volatility, and avoid emotional trading decisions. The feature supports creating and managing multiple DCA plans, which can be adjusted, paused, or stopped at any time. MEXC emphasizes user control and a simplified trading experience with this launch.

TheNewsCrypto01/07 10:20

MEXC Launches Spot DCA To Support Automated Investment Strategies

TheNewsCrypto01/07 10:20

Programmer Earns $75K Using AI Bot to Track Polymarket Trades

A programmer earned $75,000 in profits by using an AI-powered bot to monitor suspicious trading activity on the prediction market platform Polymarket. The custom system, built with Claude AI and Cursor, tracks unusual betting patterns by analyzing new wallets with no history, unusually large bets, and repeated entries into political prediction markets where insider knowledge may create pricing inefficiencies. The bot serves as an alert mechanism rather than an automated trading tool, scanning Polymarket’s API to flag potential opportunities hours before major events—such as a trade related to Venezuelan President Nicolás Maduro—allowing the developer to enter positions at lower prices. The system processes data faster than manual methods but leaves final trading decisions to the user. Initial testing and a single day of operation generated the reported profit.

TheNewsCrypto01/05 12:49

Programmer Earns $75K Using AI Bot to Track Polymarket Trades

TheNewsCrypto01/05 12:49

Father of Claude Code Reveals: How to Turn Claude into Your 'Virtual Development Team'?

Claude Code's creator, Boris Cherny, shares how to transform Claude from a simple tool into a fully integrated "virtual dev team." Key strategies include: using multiple Claude instances in parallel for different tasks; prioritizing the most capable model (Opus 4.5) for better reasoning; employing a "Plan Mode" to define implementation steps before coding; creating slash commands to automate repetitive workflows; and maintaining a shared team knowledge base to continuously improve Claude's output. He emphasizes setting up automatic verification mechanisms so Claude can self-validate its work, and integrating it with various tools (like MCP) to act as a central orchestrator in the development process. The goal is to make Claude a collaborative, learning partner that reduces errors and manual oversight.

marsbit01/05 00:37

Father of Claude Code Reveals: How to Turn Claude into Your 'Virtual Development Team'?

marsbit01/05 00:37

86% Return? How to Use a Bot to 'Earn Passively' on Polymarket

This article details the development and backtesting of an automated trading bot for the "BTC 15-minute UP/DOWN" market on Polymarket. The author identified market inefficiencies and automated a manual strategy to exploit them. The bot operates in two modes. In manual mode, users can directly place orders. In auto mode, it runs a two-leg cycle: First, it observes the market for a set time after a round begins. If either the "UP" or "DOWN" side drops by a specified percentage (e.g., 15%) within seconds, it triggers "Leg 1" and buys the crashed side. It then waits for "Leg 2," a hedging trade on the opposite side, which is only executed if the sum of the Leg 1 entry price and the opposite ask price meets a target threshold (e.g., ≤ 0.95). Due to a lack of historical market data from Polymarket's API, the author created a custom backtesting system by recording 6 GB of live price snapshots over four days. A conservative backtest with parameters of a 15% crash threshold and a 0.95 sum target showed an 86% ROI, turning $1,000 into $1,869. An aggressive parameter set resulted in a -50% loss, highlighting the critical role of parameter selection. The author acknowledges significant limitations of the backtesting, including its short data period, failure to model order book depth, partial fills, variable network latency, and the market impact of the bot's own orders. Future improvements include rewriting the bot in Rust for performance, running a dedicated node, and deploying on a low-latency VPS.

marsbit12/30 04:07

86% Return? How to Use a Bot to 'Earn Passively' on Polymarket

marsbit12/30 04:07

Steam, Steel, and Infinite Intelligence

The article "Steam, Steel, and Infinite Mind" by Ivan Zhao, CEO of Notion, explores how AI is poised to become the defining technological material of our era, much like steel shaped the Gilded Age and semiconductors enabled the digital age. The author argues that while AI currently mimics past forms—like early films resembling stage plays or AI chatbots resembling search engines—it holds transformative potential. At the individual level, AI can elevate knowledge workers from "bicycles" to "cars," as seen with programmers who now use AI assistants to become dramatically more efficient. However, two key challenges remain: fragmented context across tools and the lack of verifiability in non-programming knowledge work. At the organizational level, AI acts like "steel" for companies, enabling them to scale without the inefficiencies of human communication as a bottleneck. It also parallels the steam engine, which initially replaced water wheels but later allowed entirely new factory designs. Most companies are still in the "water wheel stage," using AI within old workflows rather than reimagining operations around continuous, asynchronous intelligence. On an economic scale, AI could enable a shift from human-scale "Florence-like" organizations to AI-augmented "megacities" of knowledge work—larger, faster, and more complex, but also more powerful. The conclusion urges looking beyond the rearview mirror to imagine and build this new frontier of infinite intelligence.

marsbit12/29 04:56

Steam, Steel, and Infinite Intelligence

marsbit12/29 04:56

Steam, Steel, and Infinite Intelligence

Steam, Steel, and Infinite Intelligence Each era is defined by its core technological material: steel forged the Gilded Age, semiconductors enabled the digital age, and now, AI arrives as infinite intelligence. History shows that those who master the material define the era. Today, AI often resembles a supercharged search engine, but we are in an uncomfortable transition period. The future of knowledge work can be envisioned through historical metaphors. At the individual level, AI transition is like moving from a bicycle to a car. Top practitioners, like programmers, are already becoming managers of infinite intelligence, achieving 30-40x productivity gains. For others to follow, two key problems must be solved: fragmented context across dozens of tools and a lack of verifiability for general knowledge work. Once these are addressed, billions will move from "bicycles" to "cars" and eventually to "autopilot." For organizations, AI is the new steel and steam. Companies historically lose efficiency as they scale, burdened by human-scale communication. AI, like steel, can provide coherent context and decision-making support, allowing companies to scale without decay. Like the steam engine, it will enable a complete reimagining of workflows beyond simply replacing old tools, moving from water wheels to powerful, always-on intelligence. For the entire economy, this shift mirrors the transition from a human-scale city like Florence to a modern megacity. The knowledge economy, which constitutes nearly half of US GDP, still operates on a human scale. With AI, we will build "Tokyo"—organizations of thousands of humans and AIs, operating across time zones, synthesizing decisions with precise human input. This will be faster and more leveraged, though initially disorienting. We are still in the "water wheel" stage of AI, plugging chatbots into human-designed workflows. The challenge is to stop looking through the rearview mirror and start building the next skyline with the new materials of infinite intelligence.

深潮12/29 04:47

Steam, Steel, and Infinite Intelligence

深潮12/29 04:47

Ozak AI Outperforms the Entire Market at $0.014 — Investors Aren’t Waiting for the Recovery; They’re Buying the Future Now

Ozak AI is defying the sluggish crypto market of late 2025, rapidly raising over $5.12 million in its presale with more than 1.05 billion tokens sold at $0.014. Unlike many projects waiting for a market recovery, Ozak AI is generating its own momentum, with investors treating it as a crucial long-term investment in AI and blockchain's future. Its presale success, bolstered by partnerships and a target listing price of $1.00, highlights strong belief in its advanced automation and predictive intelligence tools. Investors are seizing this undervalued opportunity for exposure to AI-driven growth without waiting for broader market signals.

TheNewsCrypto12/28 06:57

Ozak AI Outperforms the Entire Market at $0.014 — Investors Aren’t Waiting for the Recovery; They’re Buying the Future Now

TheNewsCrypto12/28 06:57

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