Browsing: AI News

A practical look at intelligent AI agents: how the reasoning loop works, where they save real hours, what they cost to run, and the failure modes to catch early.

Autonomous AI agents plan, act and check their own work. How they actually function, where they earn their keep, and the failure modes worth watching.

Reactive, goal-based, utility-based, learning, computer-use, multi-agent: a practical guide to the main types of AI agents and what each one is good at.

Concrete AI agent examples from support, coding, sales and logistics — plus small builds you can ship yourself and the questions to ask before you trust one.

How do AI agents work? Follow the plan-act-observe loop, see how they use tools and memory, and learn where humans still steer the outcome in practice.

AI agents don’t just answer questions, they take actions. Here’s what separates them from chatbots, how they actually work, and where they still fall short.

A practical MetaGPT tutorial: install it, run a one-line build, review the generated docs and code, and ship a small Python tool without babysitting agents.

Build a working BabyAGI-style agent from scratch, step by step: objectives, vector memory, task-creation prompts, cost guardrails and a worked example.

AutoGPT, explained as a practical how-to: install it, write a goal that won’t spiral, hand it the right tools, and run a real pricing task end to end.

Every day, conversations unfold across social media and websites around the world. A seemingly insignificant post—whether it involves AI-generated misinformation,…