The pitch is straightforward: if the first wave of generative AI was about generating text, code and images, the next one is about software that can actually take action inside enterprise systems. NVIDIA is positioning Agent Toolkit as infrastructure for that shift, bundling together Nemotron open models, the AI-Q agent blueprint, open skills such as cuOpt, and the new OpenShell runtime.

NVIDIA CEO Jensen Huang framed the launch as a turning point for enterprise software.

Claude Code and OpenClaw have sparked the agent inflection point — extending AI beyond generation and reasoning into action,

Huang said in the release. He added that employees will increasingly work alongside teams of frontier, specialized and custom-built agents, and argued that enterprise software is set to evolve into “specialized agentic platforms.”

The company is also trying to make the economics look compelling. NVIDIA said its AI-Q blueprint uses frontier models for orchestration and Nemotron open models for research tasks, an approach it claims can cut query costs by more than 50% while still delivering top-ranked performance on DeepResearch Bench and DeepResearch Bench II. That matters because one of the biggest open questions around enterprise agents is not whether they work, but whether they can be deployed at scale without turning inference bills into a budget problem.

Just as important, NVIDIA isn’t presenting this as a solo effort. The company named a long list of software vendors and enterprise platforms that are already integrating parts of the stack, including Adobe, Atlassian, Amdocs, Box, Cadence, Cisco, Cohesity, CrowdStrike, Dassault Systèmes, IQVIA, Red Hat, SAP, Salesforce, Siemens, ServiceNow and Synopsys. The message is classic Nvidia: build the tooling, seed the ecosystem, and make it easier for the rest of the software industry to pull workloads onto Nvidia-backed infrastructure.

There is also a security angle running through the announcement. NVIDIA said OpenShell is being developed with compatibility for cyber- and AI-security tools from providers including Cisco, CrowdStrike, Google, Microsoft Security and TrendAI, underscoring how seriously enterprise buyers are taking the risk of giving autonomous systems access to internal tools and data. Agent systems may be attracting intense interest, but they are also forcing the market to confront a harder question: how much autonomy companies are actually willing to trust in production.

For developers, NVIDIA said Agent Toolkit and OpenShell are available through build.nvidia.com, through inference providers and Nvidia cloud partners including Baseten, Bitdeer AI, CoreWeave, DeepInfra, DigitalOcean, GMI Cloud, Fireworks, Lightning, Together AI and Vultr. The company also said OpenShell can run locally on RTX PCs, workstations and DGX systems. Enterprises, meanwhile, can deploy on infrastructure from AWS, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure, as well as server vendors including Cisco, Dell Technologies, HPE, Lenovo and Supermicro.

Vendors and what they are using

Image: NVIDIA 

Digital tools as learning goes remote.

Brad Freitag, CEO at Claris states:

Schools across the U.S. constantly face challenges around getting the most meaningful information out of the volumes of data gathered and processed each day—- which we are solving with Claris Connect for Apple School Manager.

Claris Connect includes support for SIS systems from Aeries, Follet Aspen, and Skyward.

The system uses the OneRoster specification from the IMS Global Learning Consortium, a spec designed as a secure standard to use when sharing confidential school information such as rosters, courses, enrollments and grades between SIS systems and supporting solutions for learning.

Enabling unique digital workflows

The idea is that SIS data can feed directly into other learning tools, applications, and digital content, which extends to building unique workflows that use popular platforms, including Excel, Twtiter, Box, MailChimp, Trello, Asana, Stripe and many more.

For teachers, it should reduce the time spent ensuring pupils have the right information for the current lesson, as well as being able to check attendance and attainment at a glance.

How exactly it works: A student signs in with their Apple ID and digital assets (such as courses, tasks, messages, attainment records, and so on) are downloaded to the device from iCloud. Data is also cached so if a single iPad is shared across a small number of people, all documents, apps, and other content will already be on the device at  sign-in.

What happens in schools

Due to the COVID-19 pandemic, the school had to enable virtual learning for students almost overnight, which it claims was made easier by its decision to use Claris and Apple School Manager.

Austin GL presents StyleCheck: Audit The Effect of Different CSS Sources on Plain HTML Elements, which shows you a comprehensive set of HTML elements to which you can apply a selected library (Bootstrap, Normalize, etc) or import one via URL to see how the elements behave.

There is a Font Brief information, provided by KORE – Discover Fonts Based on Font Attributes, which lets you search a curated collection of paid and free fonts using specific font qualities like elegance, friendliness, classic, and so forth.

You can find details about New Next.js Blog Starter: Headless CMS with Sitemap and Page Management, given by the sponsor of this article, AGILITY CMS, where they speak of Blog with Next.js.

Next.js is a flexible and powerful framework for building websites on the Jamstack, and we’ve unlocked that power with Agility CMS in this starter template. The code itself takes advantage of powerful tools such Tailwind CSS, a simple and lightweight utility-first CSS framework, and next/image for automatic image optimization. It all works out of the box, and you can deploy it automatically to Vercel for free, so no coding is required.

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There is some information about Alternative Tweet Embeds, given by Stefan Bohachek, on Embed Tweets Without Compromising Your Users’ Privacy and Your Site’s Performance, which you can read here

If you are interested in Sergey (A Tiny Static Site Generator), which is a no-configuration SSG that will render your HTML, include partials and render out slots, you can read the whole article here. The sort of thing you’d use if even Eleventy is too much.