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AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools are not magic and can complicate rather than simplify a software project. Understanding how they work under the hood can help developers […]
How do AI coding agents work? We look under the hood. Read More »
Throughout history, the ambition of technological advancement has always been driven by the pursuit of human prosperity. But with AI, we are approaching a pivotal gut check to live up to this promise for the next generation. In my role as CTO at SAS, I talk with a lot of […] The post Human prosperity
In this tutorial, we build a fully functional Pre-Emptive Churn Agent that proactively identifies at-risk users and drafts personalized re-engagement emails before they cancel. Rather than waiting for churn to occur, we design an agentic loop in which we observe user inactivity, analyze behavioral patterns, strategize incentives, and generate human-ready email drafts using Gemini. We
Your CRM Just Got a Brain: The Agentic AI Revolution Begins For years, Customer Relationship Management (CRM) platforms served a familiar purpose: organize data, track leads, manage conversations, and generate reports. They were indispensable to sales, marketing, and support teams — but they were never truly intelligent. They helped us store information, but they didn’t
The CRM Era Is Breaking — Agentic AI Has Entered the System Read More »
Retail has never been static, but few shifts have felt as disruptive as the one unfolding today. Walmart — the world’s largest retailer by revenue — has officially stepped into the era of Agentic AI Commerce, setting a blueprint for how billions of people will shop in the coming decade. What Walmart is building isn’t
Shopping Will Never Be the Same — Meet Walmart’s ChatGPT-Powered AI Agent Read More »
Google Chrome and Apple Safari once defined how the internet felt—fast tabs, synced bookmarks, and clean design. But by 2025, that formula is starting to show its age. The web is no longer just something we browse or read. It’s something we ask, direct, and collaborate with. In response, a new generation of AI-first browsers
In this tutorial, we walk through the process of creating a fully autonomous fleet-analysis agent using SmolAgents and a local Qwen model. We generate telemetry data, load it through a custom tool, and let our agent reason, analyze, and visualize maintenance risks without any external API calls. At each step of implementation, we see how
Google has open sourced A2UI, an Agent to User Interface specification and set of libraries that lets agents describe rich native interfaces in a declarative JSON format while client applications render them with their own components. The project targets a clear problem, how to let remote agents present secure, interactive interfaces across trust boundaries without
ESG reporting or Environmental, Social, and Governance reporting, often feels overwhelming because the data comes from so many places and takes ages to pull together. Teams spend most of their time collecting numbers instead of interpreting what they mean. Agentic AI changes that dynamic. Instead of one chatbot answering questions, you get a coordinated group
Building an Agentic AI Pipeline for ESG Reporting Read More »
NVIDIA has released the Nemotron 3 family of open models as part of a full stack for agentic AI, including model weights, datasets and reinforcement learning tools. The family has three sizes, Nano, Super and Ultra, and targets multi agent systems that need long context reasoning with tight control over inference cost. Nano has about
