AI Agents

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How to Design a Gemini-Powered Self-Correcting Multi-Agent AI System with Semantic Routing, Symbolic Guardrails, and Reflexive Orchestration

agentic ai, AI Agents, Artificial Intelligence, Editors Pick, Tutorials, Uncategorized

In this tutorial, we explore how we design and run a full agentic AI orchestration pipeline powered by semantic routing, symbolic guardrails, and self-correction loops using Gemini. We walk through how we structure agents, dispatch tasks, enforce constraints, and refine outputs using a clean, modular architecture. As we progress through each snippet, we see how […]

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OpenAI built an AI coding agent and uses it to improve the agent itself

agentic ai, ai, AI Agents, AI assistants, AI coding, AI development tools, AI programming, AI work, anthropic, Artificial Intelligence, Biz & IT, chatbots, claude, code agents, Codex, Dario Amodei, Generative AI, GitHub Copilot, Google, GPT-5, Large Language Models, Machine Learning, Mistral, Open Source, OpenAI, Programming, Sam Altman, Simon Willison, software development, vibe coding

With the popularity of AI coding tools rising among some software developers, their adoption has begun to touch every aspect of the process, including human developers using the tools to improve existing AI coding tools. We’re not talking about runaway self-improvement here; just people using tools to improve the tools themselves. In interviews with Ars

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A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time

agentic ai, AI Agents, Artificial Intelligence, Editors Pick, Staff, Tutorials

In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they store action sequences, carry contextual embeddings, and are retrieved by similarity when a new situation

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Agent Frameworks vs Runtime vs Harnesses: What They Are and When to Use Which 

AI Agents, Artificial Intelligence, Beginner

AI agents are LLM-powered systems that act autonomously to solve complex tasks. Unlike simple chatbots, agents plan steps, call external tools, and use memory to keep context. For example, an agent can analyse data sources and generate a multi-step plan, whereas a basic LLM app can only answer a single prompt.   Therefore, developers now need

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How to Build an Adaptive Meta-Reasoning Agent That Dynamically Chooses Between Fast, Deep, and Tool-Based Thinking Strategies

agentic ai, AI Agents, Artificial Intelligence, Editors Pick, Staff, Tutorials

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

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OpenAGI Foundation Launches Lux: A Foundation Computer Use Model that Tops Online Mind2Web with OSGym At Scale

agentic ai, AI Agents, Artificial Intelligence, Editors Pick, New Releases

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

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Enterprise AI World 2025 Notes from the Field: Evolving AI from Chatbots to Colleagues That Make An Impact

agentic ai, AI Agents, Artificial Intelligence, Blog, chatbots

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

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How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

agentic ai, AI Agents, Artificial Intelligence, Editors Pick, Machine Learning, Staff, Technology, Tutorials

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

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Using CrewAI Planning to Build a Structured Multi-Agent Workflow

AI Agents, Artificial Intelligence, Beginner

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

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