AI Agents in Practice

AI agents promise to do multi-step work on their own. This topic looks at what actually works today: real automations, no-code agent builders, coding agents and the guardrails you need before letting an agent touch your email, files or spreadsheets.

230 articles in this topic

Tool Reviews

OpenAI set to buy Ona

OpenAI announced plans to acquire Ona, whose secure, persistent cloud environments will strengthen its Codex coding agent. The deal addresses a key limitation of agentic coding—ephemeral sessions that…

Workflows & Automation

Applying skills

Tired of re-explaining your brand voice, report formats, or coding standards to ChatGPT? This tutorial introduces ChatGPT skills—reusable modules that package instructions, reference files, and workfl…

Tool Reviews

Announcing new features in GPT-Rosalind

GPT-Rosalind is a large language model purpose-built for life sciences research, offering enhanced biological reasoning, medicinal chemistry expertise, genomics analysis support, and experimental work…

Coding with AI

Say Hello to GPT-5.3-Codex

GPT-5.3-Codex is a Codex-native AI coding agent built from the ground up for long, real-world engineering tasks. Unlike chatbots adapted for code, it combines frontier-level coding performance with ge…

Coding with AI

Meet the Codex app

OpenAI has launched the Codex app for macOS, a native hub for AI-assisted software development. It lets developers run multiple coding agents simultaneously, manage parallel workflows, and handle long…

Tool Reviews

Meet GPT-5.5

GPT-5.5 is OpenAI's newest language model, built to handle complex, multi-step work with less hand-holding. It targets coding across larger projects, sustained research reasoning, and data analysis sp…

Coding with AI

Unpacking the Codex agent loop

This article explains how the Codex CLI agent loop works under the hood. It covers the iterative cycle of receiving context, deciding on actions, executing tools, and observing results. It highlights …