Five Sigma embeds n8n workflow automation into its AI claims platform, giving claims teams no-code control over ...

McNulty: Talkdesk supports Model Context Protocol (MCP) at the AI agent layer to enable structured, secure access to ...

Building on lessons from an internal agent SDK called “Breadboard”, the agent step is not just another node in a workflow — ...

This practical guide explains how to design agentic workflows using a simple inputs, tasks and outputs framework, so any business leader can move from idea to execution.

While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.

Perplexity launches Perplexity Computer, a new AI agent platform that combines multiple models into one unified system.

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

Pixel Agents adds a pixel office view in VS Code; six character styles show coding, searching, or idle states, useful for ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

With Starburst AI, built on the company’s foundational data lakehouse system, the company looks to make it easier to “operationalize the agentic workforce” by unifying AI agents with governed data ...

Agentic AI means autonomous agents working together, sharing data, and taking action – across different systems and platforms ...