@scalevise | Digg

Make AI Agents App: What’s New in the Latest Release

The new Make AI Agents app introduces embedded decision logic, reasoning transparency, and native Scenario Builder integration. This article explains the changes, their strategic relevance, and real operational applications. The app allows agents to access tools, use uploaded knowledge, decide actions, and explain reasoning within the interface. It integrates directly into the Scenario Builder, reducing friction and centralizing logic. The reasoning panel offers transparency, aiding debugging and compliance. AI-assisted tool configuration and knowledge awareness expand use cases. This release moves Make from a workflow automation tool to a platform that embeds AI decision systems, improving reusability, governance, and alignment with agentic architecture. Practical applications include intelligent lead qualification, advanced support ticket routing, financial document processing, internal knowledge assistants, and workflow optimization. However, organizations should adopt incrementally, defining boundaries for agent decision authority and standardizing prompt structures.

/technology

OpenAI Codex App: The Next Evolution in Coding Explained

The OpenAI Codex app is a groundbreaking AI-driven coding environment that enables autonomous feature development, debugging, testing, and parallel workflows. It represents a shift towards agent-based software engineering, where AI systems actively execute development tasks under supervision. The app allows developers to define structured objectives, and agents can analyze codebases, write or refactor code, run validations, and propose updates. The Codex app preserves context across projects and supports multi-agent orchestration, enhancing productivity. It is particularly beneficial for software developers, engineering teams, technical leads, and product teams, helping them reduce repetitive tasks, coordinate complex workflows, and accelerate delivery timelines.

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Orq.ai Explained: LLM Operations and AI Governance

This article explains Orq.ai, an LLM operations and governance platform designed to help teams manage and control LLM-powered systems in production. It addresses common engineering challenges such as prompt drift, lack of observability, cost control, and compliance.

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OpenClaw Explained: Why You Shouldn’t Use It at Scale

OpenClaw is an open-source platform for self-hosted AI assistants, suitable for developers managing AI interactions across multiple channels. While it excels in centralizing AI interactions and providing flexibility, it is not a quick automation layer or a no-code tool. Most implementations fail at scale due to poor architecture, lack of governance, and weak security. OpenClaw makes sense when treated as infrastructure and deployed with proper management, logging, and security. Scalevise integrates OpenClaw within a broader system architecture, ensuring it operates within defined permissions and responsibilities.

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10d

OpenClaw Automations: Why You Shouldn’t Use Them at Scale

This article from Scalevise explains the concept of OpenClaw Automations, which are lightweight, loosely connected automation workflows that operate with minimal human involvement. It highlights the common use cases and why most OpenClaw setups fail when real scale and responsibility are required. It also discusses the structural weaknesses behind most OpenClaw setups, such as fragile architecture, security and compliance gaps, and poor scalability. The article suggests that OpenClaw-style automations work when the process is narrow and clearly defined, failure impact is low, human review remains possible, and speed of iteration matters more than robustness. However, it warns that businesses often go wrong by confusing OpenClaw workflows with production architecture, leading to operational risks when automations touch revenue, customer communication, personal or sensitive data, and compliance-relevant processes.

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11d

Moltbook: The Social Network for AI Agents Explained

This article explains Moltbook, a social network for AI agents, its purpose, and implications for AI development and governance.

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11d

OpenAI Frontier for Enterprises: AI Agents at Scale

OpenAI Frontier is a managed platform for enterprise AI agents, designed to enable secure and governed deployment within business workflows. It addresses key challenges in enterprise AI adoption, such as onboarding agents, managing permissions, and ensuring predictable behavior. Frontier shifts the focus from traditional AI chatbots to long-lived agents that can operate within defined boundaries, understand company-specific knowledge, and interact with internal tools and APIs. It provides a centralized platform for creating, deploying, and governing AI agents, emphasizing clear ownership, visibility, and auditability. Frontier is best suited for operational roles where predictability and control are crucial, such as internal support, operations, finance, and compliance.

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17d

Voice Agents for Shopify That Know Your Inventory

This article delves into the practical use of inventory-aware voice agents for Shopify, explaining their architecture, core use cases, and the measurable business value they bring to merchants. It highlights the importance of real-time inventory access, contextual understanding, and the separation of conversation and commerce logic for effective implementation.

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20d

Why Using AI Chatbots Feels Like a Mistake: Risks and Dangers - DEV Community

This article discusses the risks and dangers of using AI chatbots, highlighting how they can feel unstable, mentally draining, and risky despite their initial promise of simplifying knowledge work. It emphasizes the importance of setting explicit boundaries and maintaining human accountability when using AI chatbots, as they can convincingly simulate intelligence but lack awareness of organizational constraints and accountability for long-term consequences.

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20d

The Best AI PCs and NPU Laptops For Engineers - DEV Community

This article provides an overview of AI PCs and NPU laptops for developers, focusing on real-world development workloads, hardware platforms, and practical considerations for choosing the right system.

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22d

Why AI Chatbots Are a Mistake: Hidden Risks and Dangers

This article discusses the hidden risks and dangers of using AI chatbots like ChatGPT and Gemini. It explains how the illusion of intelligence, cognitive friction, emotional side effects, decision-making risks, privacy concerns, and the conceptual error of treating AI as a thinking partner contribute to the growing criticism of these tools. The article emphasizes the importance of using AI responsibly for execution tasks and maintaining clear human accountability.

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24d

AI Governance for Workflow Automation Compliance

This article explains the importance of AI governance in workflow automation, focusing on how auditors evaluate AI-driven workflows. It emphasizes the need for complete, tamper-resistant audit logs, clear role separation, and justified data retention policies to ensure compliance with regulations like the EU AI Act.

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24d

OpenAI API Hits $1B ARR. What It Means for AI Adoption

This article discusses how OpenAI’s API business reached over $1 billion in annual recurring revenue in a single month, marking a significant shift in AI adoption. It highlights that AI is now being embedded into business systems and workflows, rather than just being a consumer-facing tool. The article explains the reasons behind this rapid growth, including improved model reliability, the API-native nature of modern software, and labor pressure. It also emphasizes the importance of focusing on targeted AI integration for high-volume workflows to remain competitive.

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Jan 18th

Comet vs ChatGPT Agent: Which AI Tool Fits Your Business?

This article compares Perplexity Comet and OpenAI’s ChatGPT Agent, two AI tools for automating business processes. Perplexity Comet excels in real-time web data retrieval and research, while ChatGPT Agent is better for internal task automation with memory and context handling. The choice depends on specific business needs, with many workflows benefiting from using both.

/digg

Jan 18th

Are all links on Digg nofollow as of today?

Noticed something interesting today. Every outbound link I tested on Digg appears to be marked as nofollow. No announcement. No docs. No changelog. This raises a few real questions: • Is this a temporary anti-spam measure or a permanent policy shift? • Are exceptions p

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Jan 18th

How To Advertise on ChatGPT Go: Prepare your Ads Now!

This article discusses how advertising will be introduced to the ChatGPT Go variant, a more affordable and accessible version of the platform. It highlights the shift in OpenAI's stance on advertising, the principles guiding its implementation, and how businesses can prepare for this new advertising channel. It emphasizes the importance of context, relevance, and trust in advertising within conversational AI.

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Jan 16th

How AI Cameras Change Surveillance Economics and Privacy

AI cameras are transforming surveillance by continuously analyzing and interpreting video streams in real time, enabled by affordable edge-optimized AI hardware. This shift makes large-scale surveillance economically viable and introduces complex privacy implications, as AI cameras retain behavioral data over time. The technology outpaces regulation, raising questions about the boundaries of observation and data retention.

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Jan 16th

The Best AI PCs and NPU Laptops For Developers - DEV Community

This article provides an overview of the current AI PC and NPU laptop market, focusing on real-world development workloads and the balance between NPUs and GPUs for efficient inference.

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Jan 16th

Agentic AI in Production: Governance, ROI & Risk

This article explains the challenges of deploying agentic AI in production, emphasizing the importance of governance, observability, and risk control. It highlights the difference between successful deployments and costly failures, stressing that agentic AI succeeds when it operates within clear decision boundaries, is auditable, and delivers measurable ROI.

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Jan 15th

Elon Musk's X to block Grok from undressing images of real people

Elon Musk's X has announced that its AI tool Grok will no longer allow users to remove clothing from images of real people in jurisdictions where it is illegal, following widespread concern over sexualized AI deepfakes. The UK government and regulator Ofcom have welcomed the move, but their investigations into whether the platform broke UK laws remain ongoing. Victims and campaigners have criticized the platform for the delay in implementing these changes, noting the harm that has already been done. X has also announced that only paid users will be able to edit images using Grok, adding an extra layer of protection to ensure those who try to abuse the tool are held accountable.

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Jan 15th

Starting in 2026, the EU AI Act will enforce strict transparency and accountability rules for AI companies in the European Union. Key changes include public disclosure of training data sources, respect for copyright opt-outs, and mandatory labelling of AI-generated content. These regulations aim to prevent misinformation, protect creators' rights, and ensure AI systems are explainable. Businesses should audit their data sources, document their processes, and prepare to label AI outputs to comply with the new rules.

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Jan 15th

Apple Integrates Gemini into iOS and Siri

Apple integrates Google Gemini into iOS and Siri, enhancing system-level intelligence. This partnership extends Apple Intelligence with advanced reasoning, multimodal understanding, and rapid model iteration. For users, it means smarter voice interactions and cross-app contextual reasoning. Developers benefit from new opportunities for app intelligence and reduced need for custom AI infrastructure. Apple maintains control over privacy and data, ensuring user consent for third-party model usage. This collaboration positions iOS as a privacy-conscious AI platform, distinct from Android.

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Jan 15th

Perplexity Email Assistant for Gmail and Outlook Automation

This resource from Scalevise explains how Perplexity's Email Assistant for Gmail and Outlook can automate email management, helping professionals and teams improve productivity by streamlining scheduling, replies, and inbox organization. The assistant integrates with both Gmail and Outlook, offering features like Inbox Zero, effortless responses, hassle-free scheduling, and smart summaries. It emphasizes security and privacy, making it suitable for professional environments. The assistant adapts to different roles within a company, improving productivity across teams. Scalevise can help companies integrate this AI tool into their broader systems.

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Jan 15th

AI Agents Are Scaling Fast! Why Governance Is Falling Behind

This article discusses the rapid scaling of AI agents in enterprise environments and highlights the governance gap that is emerging as a result. While AI agents are becoming integral to business operations, many organizations lack the necessary governance frameworks to manage these autonomous systems effectively. This gap poses significant risks, including security vulnerabilities, compliance issues, and operational unpredictability. Effective AI agent governance involves defining ownership, enabling transparency, embedding security controls, and aligning with enterprise risk frameworks.