Reasoning models like GPT-5.6, Opus 5, and Kimi-3 already verify their own work. OpenAI found trimming agent prompts raised eval scores 10-15% and cut token cost by up to 67%.

An AI coding assistant turned vague prompts into working exploit code, exposing 47,000 FlexFit Gyms customer records. Here is what happened and what it means for teams using these tools.

An analysis of 35,000 ChatGPT citations found UGC platforms hold 17.1% of cited domains for SaaS prompts, more than 4x publishers. Here is what to do about it.

When multiple creative teams generate content with AI, centralized prompt libraries and metered token endpoints keep brand compliance and costs predictable.

OpenAI added shoppable product carousels and an AppsFlyer integration to ChatGPT ads, giving performance marketers the measurement tools they need to justify real budgets.

Agent Skills is an open-source framework that walks AI coding agents through a structured define, plan, build, and verify workflow. Here is what to know.

Meta launched Muse Code, its first AI coding agent, powered by Muse Spark 1.2 with a 1M token context window. It runs in the terminal on macOS and Linux with a contributor tier priced 21x cheaper than standard.

A new reproducible test shows how to make Claude Code, OpenCode, or any CLAUDE.md-reading agent follow a chain of instructions without hand-holding.

Reasoning models already verify their own work. Trimming legacy prompt scaffolding raised OpenAI's eval scores 10–15% and cut token costs up to 67%.

One developer used Codex inside ChatGPT to design a 3D-printed enclosure, write Raspberry Pi pin code, and build a connected app. No terminal required.

GOROman built a wearable M5Stack controller that monitors parallel AI agents, handles approve/reject actions, and pushes voice prompts without touching the keyboard.

University of Cambridge research finds people reviewing AI coding agent actions fail to catch roughly one-third of dangerous requests, even under realistic conditions.