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We begin this tutorial by building a meta-reasoning agent that decides how to think before it thinks. Instead of applying the same reasoning process for every query, we design a system that evaluates complexity, chooses between fast heuristics, deep chain-of-thought reasoning, or tool-based computation, and then adapts its behaviour in real time. By examining each […]
How do you turn slow, manual click work across browsers and desktops into a reliable, automated system that can actually use a computer for you at scale? Lux is the latest example of computer use agents moving from research demo to infrastructure. OpenAGI Foundation team has released Lux, a foundation model that operates real desktops
Enterprise AI World 2025, co-located with KMWorld 2025, offered a clear signal this year: the era of “drop a chatbot on the intranet and call it transformation” is over. The conversations shifted toward AI that sits inside real work—capturing tacit […] The post Enterprise AI World 2025 Notes from the Field: Evolving AI from Chatbots
In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as a spectrum, ranging from fast heuristics to deep chain-of-thought to precise tool-like solving, and we train a neural meta-controller to decide which mode to use for each task. By optimizing the
Coordinating many different agents together to accomplish a task isn’t easy. But using Crew AI’s ability to coordinate through planning, that task becomes easier. The most useful aspect of planning is that the system creates a roadmap for agents to follow when completing their project. Once agents have access to the same roadmap, they understand
Using CrewAI Planning to Build a Structured Multi-Agent Workflow Read More »
Large language model agents are starting to store everything they see, but can they actually improve their policies at test time from those experiences rather than just replaying context windows? Researchers from University of Illinois Urbana Champaign and Google DeepMind propose Evo-Memory, a streaming benchmark and agent framework that targets this exact gap. Evo-Memory evaluates
The real future of work isn’t remote or hybrid — it’s human + agent. Across enterprise functions, AI agents are taking on more of the execution of daily work while humans focus on directing how that work gets done. Less time spent on tedious admin means more time spent on strategy and innovation — which
The agent workforce: Redefining how work gets done Read More »
From Rosie the Robot to Real Conversations Remember Rosie the Robot from The Jetsons? She wasn’t just a housekeeper. She was a glimpse into a future where technology could hold a conversation, help with everyday tasks, and feel almost part of the family. Rosie could handle her routines with ease, but the real promise was
The conversation around artificial intelligence is shifting dramatically.We’ve evolved beyond the binary narrative of humans versus machines. The new paradigm is human–AI orchestration, led by a new generation of Agentic AI systems — autonomous, reasoning, goal-driven agents that collaborate with humans instead of replacing them. Welcome to the era of Human-in-the-Loop 2.0 — a world
The Future of Work: How Agentic AI Is Powering the Human-in-the-Loop 2.0 Revolution Read More »
Introduction: The Illusion of Simplicity in AI Agents Many teams today believe that AI agents are plug-and-play tools — install them, type a prompt, and watch them magically transform workflows. It sounds like the dream of automation finally realized. But here’s the truth: it doesn’t work that way. While AI agents are incredibly powerful, their
Plug-and-Play Is a Myth: Why AI Agents Need Integration, Not Just Prompts Read More »
