AI in Production

New AI agents on WordPress.com could lower barriers to publishing while increasing machine-generated content across the web.

How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.

A rogue AI agent inadvertently exposed Meta company and user data to engineers who didn't have permission to see it.

Nothing CEO Carl Pei says AI agents will eventually replace apps, shifting smartphones toward systems that understand intent and act on a user's behalf.

<p><em><a href="https://simonwillison.net/guides/agentic-engineering-patterns/">Agentic Engineering Patterns</a> ></em></p> <p>LLMs are restricted by their <strong>context limit</strong> - how many tokens they can fit in their working memory at any given time. These values have not increased much over the past two years even as the LLMs themselves have seen dramatic improvements in their abilities - they generally top out at around 1,000,000, and benchmarks frequently report better quality resul

OpenAI Japan announces the Japan Teen Safety Blueprint, introducing stronger age protections, parental controls, and well-being safeguards for teens using generative AI.

<p><strong><a href="https://developers.openai.com/codex/subagents">Use subagents and custom agents in Codex</a></strong></p> Subagents were announced in general availability today for OpenAI Codex, after several weeks of preview behind a feature flag.</p> <p>They're very similar to the Claude Code implementation, with default subagents for "explorer", "worker" and "default". It's unclear to me what the difference between "worker" and "default" is but based on their CSV example I think "worker" i

<blockquote cite="https://www.newyorker.com/news/annals-of-inquiry/the-pentagon-went-to-war-with-anthropic-whats-really-at-stake?_sp=9a6e0ff7-2bfd-46f8-a9e1-3941ef2003b5.1773495048769"><p>The point of <a href="https://simonwillison.net/2025/Jun/20/agentic-misalignment/">the blackmail exercise</a> was to have something to describe to policymakers—results that are visceral enough to land with people, and make misalignment risk actually salient in practice for people who had never thought about it

<p><strong><a href="https://simonw.github.io/nicar-2026-coding-agents/">Coding agents for data analysis</a></strong></p> Here's the handout I prepared for my NICAR 2026 workshop "Coding agents for data analysis" - a three hour session aimed at data journalists demonstrating ways that tools like Claude Code and OpenAI Codex can be used to explore, analyze and clean data.</p> <p>Here's the table of contents:</p> <blockquote> <ul> <li><a href="https://simonw.github.io/nicar-2026-coding-agents/codin

<p><em><a href="https://simonwillison.net/guides/agentic-engineering-patterns/">Agentic Engineering Patterns</a> ></em></p> <p>As with any tool, understanding how <a href="https://simonwillison.net/guides/agentic-engineering-patterns/what-is-agentic-engineering/">coding agents</a> work under the hood can help you make better decisions about how to apply them.</p> <p>A coding agent is a piece of software that acts as a <strong>harness</strong> for an LLM, extending that LLM with additional capabi

<p><em><a href="https://simonwillison.net/guides/agentic-engineering-patterns/">Agentic Engineering Patterns</a> ></em></p> <p>I use the term <strong>agentic engineering</strong> to describe the practice of developing software with the assistance of coding agents.</p> <p>What are <strong>coding agents</strong>? They're agents that can both write and execute code. Popular examples include <a href="https://code.claude.com/">Claude Code</a>, <a href="https://openai.com/codex/">OpenAI Codex</a>, and

<p>I was a speaker last month at the <a href="https://www.pragmaticsummit.com/">Pragmatic Summit</a> in San Francisco, where I participated in a fireside chat session about <a href="https://simonwillison.net/guides/agentic-engineering-patterns/">Agentic Engineering</a> hosted by Eric Lui from Statsig.</p> <p>The video is <a href="https://www.youtube.com/watch?v=owmJyKVu5f8">available on YouTube</a>. Here are my highlights from the conversation.</p> <iframe style="margin-top: 1.5em; margin-bottom

How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.

<p><em><a href="https://simonwillison.net/guides/agentic-engineering-patterns/">Agentic Engineering Patterns</a> ></em></p> <p>Many developers worry that outsourcing their code to AI tools will result in a drop in quality, producing bad code that's churned out fast enough that decision makers are willing to overlook its flaws.</p> <p>If adopting coding agents demonstrably reduces the quality of the code and features you are producing, you should address that problem directly: figure out which as

<p><strong><a href="https://boringsql.com/posts/portable-stats/">Production query plans without production data</a></strong></p> Radim Marek describes the new <a href="https://www.postgresql.org/docs/current/functions-admin.html#FUNCTIONS-ADMIN-STATSMOD"><code>pg_restore_relation_stats()</code> and <code>pg_restore_attribute_stats()</code> functions</a> that were introduced <a href="https://www.postgresql.org/docs/current/release-18.html">in PostgreSQL 18</a> in September 2025.</p> <p>The Postgr

See how Balyasny built an AI research system with GPT-5.4, rigorous model evaluation, and agent workflows to transform investment analysis at scale.

Stateful Runtime for Agents in Amazon Bedrock brings persistent orchestration, memory, and secure execution to multi-step AI workflows powered by OpenAI.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/NB2_Hero.max-600x600.format-webp.webp">Our latest image generation model offers advanced world knowledge, production-ready specs, subject consistency and more, all at Flash speed.

OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting—showing potential to reduce NEPA drafting time by up to 15% and modernize infrastructure reviews.

SWE-bench Verified is increasingly contaminated and mismeasures frontier coding progress. Our analysis shows flawed tests and training leakage. We recommend SWE-bench Pro.

OpenAI announces Frontier Alliance Partners to help enterprises move from AI pilots to production with secure, scalable agent deployments.

OpenAI commits $7.5M to The Alignment Project to fund independent AI alignment research, strengthening global efforts to address AGI safety and security risks.

OpenAI and Paradigm introduce EVMbench, a benchmark evaluating AI agents’ ability to detect, patch, and exploit high-severity smart contract vulnerabilities.

How OpenAI built a real-time access system combining rate limits, usage tracking, and credits to power continuous access to Sora and Codex.

GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.

By Ryan Lopopolo, Member of the Technical Staff

OpenAI for Government announces the deployment of a custom ChatGPT on GenAI.mil, bringing secure, safety-forward AI to U.S. defense teams.

Learn how to embed the Codex agent using the Codex App Server, a bidirectional JSON-RPC API powering streaming progress, tool use, approvals, and diffs.

How OpenAI built an in-house AI data agent that uses GPT-5, Codex, and memory to reason over massive datasets and deliver reliable insights in minutes.

Learn how OpenAI protects user data when AI agents open links, preventing URL-based data exfiltration and prompt injection with built-in safeguards.

TRUSTBANK partnered with Recursive to build Choice AI using OpenAI models, delivering personalized, conversational recommendations that simplify Furusato Nozei gift discovery. A multi-agent system helps donors navigate thousands of options and find gifts that match their preferences.

A technical deep dive into the Codex agent loop, explaining how Codex CLI orchestrates models, tools, prompts, and performance using the Responses API.

An inside look at how OpenAI scaled PostgreSQL to millions of queries per second using replicas, caching, rate limiting, and workload isolation.

How Netomi scales enterprise AI agents using GPT-4.1 and GPT-5.2—combining concurrency, governance, and multi-step reasoning for reliable production workflows.

OpenAI is strengthening ChatGPT Atlas against prompt injection attacks using automated red teaming trained with reinforcement learning. This proactive discover-and-patch loop helps identify novel exploits early and harden the browser agent’s defenses as AI becomes more agentic.

OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show that monitoring a model’s internal reasoning is far more effective than monitoring outputs alone, offering a promising path toward scalable control as AI systems grow more capable.

OpenAI is updating its Model Spec with new Under-18 Principles that define how ChatGPT should support teens with safe, age-appropriate guidance grounded in developmental science. The update strengthens guardrails, clarifies expected model behavior in higher-risk situations, and builds on our broader work to improve teen safety across ChatGPT.

This system card outlines the comprehensive safety measures implemented for GPT‑5.2-Codex. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt injections, and product-level mitigations like agent sandboxing and configurable network access.

OpenAI introduces FrontierScience, a benchmark testing AI reasoning in physics, chemistry, and biology to measure progress toward real scientific research.

OpenAI co-founds the Agentic AI Foundation under the Linux Foundation and donates AGENTS.md to support open, interoperable standards for safe agentic AI.

Mirakl is redefining commerce through AI agents and ChatGPT Enterprise—achieving faster documentation, smarter customer support, and building toward agent-native commerce with Mirakl Nexus.

OpenAI works with independent experts to evaluate frontier AI systems. Third-party testing strengthens safety, validates safeguards, and increases transparency in how we assess model capabilities and risks.

Learn how evals help businesses define, measure, and improve AI performance—reducing risk, boosting productivity, and driving strategic advantage.

This system card outlines the comprehensive safety measures implemented for GPT‑5.1-CodexMax. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt injections, and product-level mitigations like agent sandboxing and configurable network access.

Description: Global manufacturer Scania is scaling AI with ChatGPT Enterprise. With team-based onboarding and strong guardrails, AI is boosting productivity, quality, and innovation.

Philips is scaling AI literacy with ChatGPT Enterprise, training 70,000 employees to use AI responsibly and improve healthcare outcomes worldwide.

This GPT-5 system card addendum provides updated safety metrics for GPT-5.1 Instant and Thinking, including new evaluations for mental health and emotional reliance.

Discover how Notion rebuilt its AI architecture with GPT-5 to create autonomous agents that reason, act, and adapt across workflows. Learn how this shift unlocked smarter, faster, and more flexible productivity in Notion 3.0.

BBVA is reimagining how employees work with ChatGPT Enterprise, embedding AI into everyday operations. The bank has saved hours per week per employee, created 20,000+ Custom GPTs, and achieved up to 80% efficiency gains.

Discover OpenAI’s Teen Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.

OpenAI introduces Aardvark, an AI-powered security researcher that autonomously finds, validates, and helps fix software vulnerabilities at scale. The system is in private beta—sign up to join early testing.

A deep dive into OWL, the new architecture powering ChatGPT Atlas—decoupling Chromium, enabling fast startup, rich UI, and agentic browsing with ChatGPT.

gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are two open-weight reasoning models post-trained from the gpt-oss models and trained to reason from a provided policy in order to label content under that policy. In this report, we describe gpt-oss-safeguard’s capabilities and provide our baseline safety evaluations on the gpt-oss-safeguard models, using the underlying gpt-oss models as a baseline. For more information about the development and architecture of the underlying gpt-oss models, see

Learn how OpenAI evaluates political bias in ChatGPT through new real-world testing methods that improve objectivity and reduce bias.

Today, we’re releasing new tools to help developers go from prototype to production faster: AgentKit, expanded evals capabilities, and reinforcement fine-tuning for agents.

We’re taking first steps toward agentic commerce in ChatGPT with new ways for people, AI agents, and businesses to shop together.

OpenAI introduces GDPval, a new evaluation that measures model performance on real-world economically valuable tasks across 44 occupations.

Apollo Research and OpenAI developed evaluations for hidden misalignment (“scheming”) and found behaviors consistent with scheming in controlled tests across frontier models. The team shared concrete examples and stress tests of an early method to reduce scheming.

Explore OpenAI’s approach to balancing teen safety, freedom, and privacy in AI use.

This addendum to the GPT-5 system card shares a new model: GPT-5-Codex, a version of GPT-5 further optimized for agentic coding in Codex. GPT-5-Codex adjusts its thinking effort more dynamically based on task complexity, responding quickly to simple conversational queries or small tasks, while independently working for longer on more complex tasks.

Discover how SafetyKit leverages OpenAI GPT-5 to enhance content moderation, enforce compliance, and outpace legacy safety systems with greater accuracy .

OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety.

OpenAI surveyed over 1,000 people worldwide on how AI should behave and compared their views to our Model Spec. Learn how collective alignment is shaping AI defaults to better reflect diverse human values and perspectives.

OpenAI and Anthropic share findings from a first-of-its-kind joint safety evaluation, testing each other’s models for misalignment, instruction following, hallucinations, jailbreaking, and more—highlighting progress, challenges, and the value of cross-lab collaboration.

Discover how Blue J is transforming tax research with AI-powered tools built on GPT-4.1. By combining domain expertise with Retrieval-Augmented Generation, Blue J delivers fast, accurate, and fully-cited tax answers—trusted by professionals across the US, Canada, and the UK.

Built with OpenAI o3, o3-Pro, GPT-4.1, and GPT-5, Basis’ AI agents help accounting firms save up to 30% of their time and expand capacity for advisory and growth.

Discover how OpenAI's new safe-completions approach in GPT-5 improves both safety and helpfulness in AI responses—moving beyond hard refusals to nuanced, output-centric safety training for handling dual-use prompts.

We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware.

Discover how Intercom built a scalable AI platform with 3 key lessons—from evaluations to architecture—to lead the future of customer support.

As part of our Executive Function series, Model ML CEO Chaz Englander discusses how AI-native infrastructure and autonomous agents are transforming financial services workflows.

Introducing ChatGPT agent: it thinks and acts, using tools to complete tasks like research, bookings, and slideshows—all with your guidance.

ChatGPT agent System Card: OpenAI’s agentic model unites research, browser automation, and code tools with safeguards under the Preparedness Framework.

OpenAI invites researchers to its Bio Bug Bounty. Test the ChatGPT agent’s safety with a universal jailbreak prompt and win up to $25,000.

We study how training on incorrect responses can cause broader misalignment in language models and identify an internal feature driving this behavior—one that can be reversed with minimal fine-tuning.