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GLM-4.7-Flash is a new member of the GLM 4.7 family and targets developers who want strong coding and reasoning performance in a model that is practical to run locally. Zhipu AI (Z.ai) describes GLM-4.7-Flash as a 30B-A3B MoE model and presents it as the strongest model in the 30B class, designed for lightweight deployment where […]
Vercel has released agent-skills, a collection of skills that turns best practice playbooks into reusable skills for AI coding agents. The project follows the Agent Skills specification and focuses first on React and Next.js performance, web design review, and claimable deployments on Vercel. Skills are installed with a command that feels similar to npm, and
In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason over evidence, use tools deliberately, and evaluate its own outputs for quality. By structuring the system around retrieval, answer synthesis, and self-evaluation, we demonstrate how agentic patterns
In this tutorial, we demonstrate how an autonomous, agentic AI system can simulate the end-to-end prior authorization workflow within healthcare Revenue Cycle Management (RCM). We show how an agent continuously monitors incoming surgery orders, gathers the required clinical documentation, submits prior authorization requests to payer systems, tracks their status, and intelligently responds to denials through
AI Agents are being widely adopted across industries, but how many agents are needed for an Agentic AI system? The answer can be 1 or more. What really matters is that we pick the right number of Agents for the task at hand. Here, we will try to look at the cases where we can
Single-Agent vs Multi-Agent Systems Read More »
I explored the potential of agentic AI across four foundational insurance functions in a previous blog article. Building on that discussion, this article takes a focused look at one of those pivotal functions – claims processing. Global insurance companies are intensively exploring which practical applications of agentic AI can deliver the most […] The post Quality and
Quality and efficiency soar with agentic AI for claims Read More »
Anthropic has released Cowork, a new feature that runs agentic workflows on local files for non coding tasks currently available in research preview inside the Claude macOS desktop app. What Cowork Does At The File System Level Cowork currently runs as a dedicated mode in the Claude desktop app. When you start a Cowork session,
Anthropic Releases Cowork As Claude’s Local File System Agent For Everyday Work Read More »
Can AI shopping agents move beyond sending product links and actually complete trusted purchases end to end inside a chat? Universal Commerce Protocol, or UCP, is Google’s new open standard for agentic commerce. It gives AI agents and merchant systems a shared language so that a shopping query can move from product discovery to an
Agentic browsing is quickly becoming mainstream. People don’t just want AI agents to research products anymore. They want agents to actually buy things for them: compare options, place orders, handle payments, and complete the entire transaction. That’s where things started to break. Today’s commerce stack is fragmented. Every merchant, platform, and payment provider uses proprietary integrations. So even
How to Integrate Universal Commerce Protocol (UCP) with AI Agents? Read More »
How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy learn to manage both memory types through the same action space as text generation? Researchers
How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents Read More »
