How do you turn slow, manual click work across browsers and desktops into a reliable, automated system that can actually […]
Category: AI Agents
How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving
In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. […]
Microsoft drops AI sales targets in half after salespeople miss their quotas
Skip to content Report: Microsoft declared “the era of AI agents” in May, but enterprise customers aren’t buying. Microsoft has […]
Google DeepMind Researchers Introduce Evo-Memory Benchmark and ReMem Framework for Experience Reuse in LLM Agents
Large language model agents are starting to store everything they see, but can they actually improve their policies at test […]
DeepSeek Researchers Introduce DeepSeek-V3.2 and DeepSeek-V3.2-Speciale for Long Context Reasoning and Agentic Workloads
How do you get GPT-5-level reasoning on real long-context, tool-using workloads without paying the quadratic attention and GPU cost that […]
MiniMax-M2: Technical Deep Dive into Interleaved Thinking for Agentic Coding Workflows
The AI coding landscape just got a massive shake-up. If you’ve been relying on Claude 3.5 Sonnet or GPT-4o for […]
A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting
In this tutorial, we build a complete scientific discovery agent step by step and experience how each component works together […]
How to Build a Neuro-Symbolic Hybrid Agent that Combines Logical Planning with Neural Perception for Robust Autonomous Decision-Making
In this tutorial, we demonstrate how to combine the strengths of symbolic reasoning with neural learning to build a powerful […]
Microsoft AI Releases Fara-7B: An Efficient Agentic Model for Computer Use
How do we safely let an AI agent handle real web tasks like booking, searching, and form filling directly on […]
How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent Coordination
In this tutorial, we code a mini reinforcement learning setup in which a multi-agent system learns to navigate a grid […]