Luma introduced Luma Agents, powered by its new “Unified Intelligence” models, designed to coordinate multiple AI systems and generate end-to-end creative work across text, images, video and audio.

The technology has advanced to a point where agents can carry work from start to finish, across tools, with structure and intent.

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.

By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the ...

The new open source project IronCurtain uses a unique method to secure and constrain AI assistant agents before they flip ...

Overview Writing clear specifications for AI agents remains a major factor in building a reliable system. This step-by-step ...

Agentova, a SaaS platform specializing in AI agents for entrepreneurs and small businesses, announced today that it has surpassed 2,000 active users in France. Designed to replace fragmented ...

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

Scientists are now using evolutionary biology to boost cooperation in AI. A recent study shows artificial agents learn to work together better by sharing rewards, much like how animals help relatives.

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

The preference for bitcoin as a long-term store of value was referred to as the most dominant response in the recent Bitcoin ...