Comparing LLMOps, MLOps, and AgentOps: What Shifts When Running Language Models at Scale
MLOps focuses on models; LLMOps adds prompts, retrieval, evaluation, latency, cost; AgentOps manages tools and multi-step workflows.
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.
Datadog leverages Codex for system-wide code review
Datadog has adopted OpenAI's Codex to enable system-wide code review, leveraging AI to automatically analyze code changes across its platform. This integration helps improve code quality, catch issues…
Asana compressed 5 years of engineering effort into just 2 weeks using Codex
Asana used OpenAI Codex to replace an aging internal testing system originally estimated to require five years of engineering effort. The AI-accelerated migration was completed in about two weeks at a…
Citing Muse AI Agent
Muse AI Agent's automated reply falsely told a pickup contact that the account was home at 9:27, even though the owner was unavailable. The message worsened a missed MX Keys Mini handoff, caused anger…
AI Agent vs. Workflow: A Practical Test to Determine When You Really Need an Agent
This guide compares AI workflows and AI agents, explaining that workflows use fixed, testable steps while agents pursue goals with flexible tool use. It covers differences in control, predictability, …
Strengthening ChatGPT Atlas against prompt injection attacks on an ongoing basis
OpenAI's ChatGPT Atlas browser can click, type, and navigate on users' behalf, making it a target for prompt injection attacks where hidden web page instructions trick the AI into harmful actions. Ope…
Moving from AI support to hands-on action: Ways companies turn AI into real work
OpenAI's latest enterprise research shows a widening gap between frontier firms and laggards in AI adoption. Leading companies treat AI as a strategic priority, provide broad access and training, inte…
Getting the Most Out of Your Coding Agent Subscriptions
Coding agent subscriptions deliver more value when treated as managed resources rather than unlimited chat tools. Developers and teams should audit usage, identify tasks that generate accepted changes…
Enhancing product discovery within ChatGPT
OpenAI has transformed ChatGPT into a shopping tool, displaying rich product cards with images, prices, reviews, and direct merchant links. Powered by the Agentic Commerce Protocol, it pulls structure…
From RAG to Reliability: Building Genuinely Truthful AI Harnesses
Retrieval-augmented generation alone cannot prove claims. A truthful AI harness treats retrieved passages as candidates, not evidence, and verifies each factual statement with inspectable sources, cla…
Turning inbound leads into customers at OpenAI
OpenAI applied its own AI models inside its sales organization to convert inbound leads more effectively. An internal AI assistant prioritizes promising leads, drafts personalized responses referencin…
Cursor and Copilot Compared: Which AI Code Editor Works Best for Python?
Cursor and Copilot share Agent, Plan, and Ask modes. Cursor reviews agent diffs; Copilot edits inline in VS Code. Pick by workflow.
Meet GPT-5.4 mini and nano
GPT-5.4 mini and nano are compact versions of the flagship GPT-5.4, trading some raw capability for speed and efficiency. They are optimized for coding, tool use, multimodal reasoning, and high-volume…
Achieving more with GPT-5.1-Codex-Max
GPT-5.1-Codex-Max is OpenAI's newest agentic coding model designed specifically for Codex. Unlike chat assistants, it works autonomously on long-running, project-scale tasks such as refactoring and fr…
How Zapier Revamped Its Key Marketing Workflows Using ChatGPT Work
Zapier's enterprise marketing team uses ChatGPT Work as an everyday collaborative assistant across three core workflows: reducing drop-offs in the lead funnel by analyzing and rewriting copy, building…
Enhancing support with each OpenAI interaction
OpenAI faced overwhelming support demand as ChatGPT's user base exploded. Instead of hiring proportionally, it applied its own AI across support workflows: drafting agent replies, powering self-servic…
Announcing AgentKit, fresh Evals, and RFT for agents
OpenAI releases three key resources to help developers move from prototype to production faster: AgentKit, a unified toolkit for building, testing, and shipping agentic applications; expanded Evals fe…
Converting contracts into searchable data at OpenAI
OpenAI built a system that converts unstructured contracts into structured, searchable data. Using document processing, large language models, and structured output like JSON, it extracts fields such …
GPT-5.4 Has Arrived
OpenAI has launched GPT-5.4, its newest and most capable frontier model designed for professional work. Key features include state-of-the-art coding ability, advanced computer use, improved tool searc…
Shop directly through ChatGPT: Instant Checkout and the Agentic Commerce Protocol
OpenAI announced Instant Checkout and the Agentic Commerce Protocol, marking its first steps into agentic commerce—where shoppers, AI agents, and merchants transact together. ChatGPT can surface produ…