Our response to the TanStack npm supply chain attack

Building a safe, effective sandbox to enable Codex on Windows

Building a safe, effective sandbox to enable Codex on Windows By David Wiesen, Member of Technical Staff When I joined the Codex engineering team in September 2025, Codex for Windows didn’t have a sandbox implementation meaning that Windows users were forced to choose between two subpar options when using OpenAI's coding agents: - Approving nearly every command (even reads) that a coding agent wanted to run, which is inefficient and pesky. A major benefit of using Codex is that you don’t have to do all the tedious work yourself. - Enabling Full Access mode: letting Codex run all commands without approval or restrictions, which removes friction at the expense of oversight. Codex, our coding agent, runs on developer laptops—whether that's through the CLI, the IDE extension, or the desktop app. It manages a conversation between a human at a keyboard…

AutoScout24 scales engineering with AI-powered workflows

AutoScout24 scales engineering with AI-powered workflows Codex and ChatGPT accelerate development cycles, improve code quality, and expand AI adoption across 2,000 employees. Results ~10x Faster development cycles (weeks → days). Results ~2,000 Employees enabled with AI tools. Results ~1,000 Builder roles using Codex. AutoScout24 Group(opens in a new window) is the largest pan-European and Canadian online car marketplace, connecting more than 30 million monthly users with over two million vehicle listings. Operating across multiple brands—including AutoScout24 in Europe and AutoTrader.ca in Canada—the company supports a network of 45,000 dealer partners and employs around 2,000 people globally. As product expectations increased and system complexity grew, AutoScout24 Group faced mounting pressure to deliver faster innovation without compromising reliability. This is closely tied to the company’s goal of continuously improving how buyers search, evaluate, and purchase vehicles, and how dealers successfully market and…

What Parameter Golf taught us about AI-assisted research

What Parameter Golf taught us Lessons from 1,000+ participants, 2,000+ submissions, and an open machine learning challenge shaped by coding agents. We launched Parameter Golf to engage and support the machine learning research community in exploring a new, tightly constrained machine learning problem. We wanted the challenge to be interesting enough to reward real technical creativity, while remaining conceptually simple and easy to verify. Participants had to minimize held-out loss on a fixed FineWeb dataset while staying within a 16 MB artifact limit, including both model weights and training code, and a 10-minute training budget on 8×H100s. We provided a baseline, dataset, and evaluation scripts so participants could fork the repo, improve the model, and submit their results through GitHub. Over the course of eight weeks, we received more than 2,000 submissions from over 1,000 participants. We were impressed by…

How NVIDIA engineers and researchers build with Codex

How NVIDIA engineers and researchers build with Codex Teams use Codex with GPT‑5.5 to ship production systems and turn research ideas into runnable experiments. Results 10x Speed improvement in end-to-end research workflows Results 40k NVIDIANs with access to Codex At NVIDIA, engineers are using Codex as their default tool for complex engineering work, and to run end-to-end machine learning experiments. Codex, built on GPT‑5.5 and running in production on NVIDIA GB200 and GB300 infrastructure, can handle much longer, more autonomous sessions — going beyond execution to surface issues and ideas that weren't part of the original prompt. “Codex is our go-to tool for complex engineering tasks, and with GPT-5.5, it surfaces bugs and gaps in my program that other models weren’t able to find.” NVIDIA’s coding agents team helps engineers across the company adopt and use AI tools effectively in…

How finance teams use Codex

How finance teams use Codex See how finance teams can use Codex to build review-ready assets for monthly business reviews, reporting, variance analysis, and planning. With Codex, finance teams can just build things. Start with the close workbooks, revenue and expense dashboards, forecast updates, prior MBRs, and owner notes you already use. Codex can help turn that context into tangible assets your team can review, refine, and share, no coding required. Use it to spend less time assembling the first pass and more time shaping the story, checking the numbers, and preparing for the decisions ahead. Learn more about using Codex for everyday work in our on-demand webinar(opens in a new window). Ready to try Codex with real finance work? Start with a copy-ready prompt, then use the fully built example to see how that same prompt gets stronger with…

OpenAI launches DeployCo to help businesses build around intelligence

OpenAI launches the OpenAI Deployment Company to help businesses build around intelligence OpenAI has agreed to acquire Tomoro, giving the OpenAI Deployment Company experienced Forward Deployed Engineers from day one. OpenAI is launching the OpenAI Deployment Company, a new company designed to help organizations build and deploy AI systems they can rely on every day across their most important work. Successful AI deployment is about empowering people and teams to do more. The OpenAI Deployment Company will extend OpenAI’s ability to embed engineers specialized in frontier AI deployment, known as Forward Deployed Engineers, or FDEs, into organizations working on complex problems in demanding environments. These FDEs will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational infrastructure and critical workflows around it, and turn those gains into durable systems.…

How ChatGPT adoption broadened in early 2026

How ChatGPT adoption broadened in early 2026 Q1 data shows consumer adoption growth across inferred gender, age, and geography. In the first quarter of 2026, consumer ChatGPT growth broadened across age groups, continued to rise among users with typically feminine names, and deepened in more countries. This analysis covers the messages sent on ChatGPT consumer plans (Free, Go, Plus, and Pro). Because it excludes Codex and ChatGPT enterprise and education products, it understates total workplace and educational usage. Users with typically feminine names represented a growing share of ChatGPT usage this quarter after reaching approximate parity last year. These users account for over half of users for whom we’re able to infer gender (see gender inference methodology here). The number of messages from all age groups increased with ChatGPT’s overall growth. In Q1, users under the age of 35 still…

How enterprises are scaling AI

How enterprises are scaling AI Practical insights from European enterprise leaders Interviews with executives at Philips, BBVA, Mirakl, Scout24, Jetbrains and Scania converged on a shared reality for leaders: scaling AI is less about “rolling out AI” and more about building the conditions where people trust it, adopt it, and improve it over time. The organizations pulling ahead aren’t simply moving faster. They’re moving more deliberately—treating AI as an operating layer and leadership discipline grounded in workflow design, governance that enables speed, and proof that holds up under production pressure. 1) Culture before tooling The fastest path to adoption wasn’t a technical rollout—it was building literacy, confidence, and permission to experiment safely. 2) Governance as an enabler Where security, legal, compliance, and IT were involved early as design partners, teams moved faster later—with fewer reversals and more trust. 3) Ownership…

OpenAI Campus Network: Student club interest form

OpenAI Campus Network: Student club interest form Join a global network of student leaders building AI-native campuses. We’re partnering with student clubs across universities worldwide to: - Bring hands-on AI learning to campus - Support student-led events, workshops, and research - Share early access to tools, programs, and opportunities - Connect student leaders shaping the future of learning and work Whether you're running events, building projects, or leading a community — we’d love to work with you.

Running Codex safely at OpenAI

As AI systems become more capable, they increasingly act on behalf of users. Coding agents can autonomously review repositories, run commands, and interact with development tools. These are tasks that previously required direct human execution. With Codex, we’ve designed these capabilities alongside the controls organizations need for safe deployment. Security teams need ways to govern how agents operate: what they can access, when human approval is required, which systems they can interact with, and what telemetry exists to explain their behavior. At OpenAI, we deploy Codex with a few clear goals: keep the agent inside clear technical boundaries, let developers move quickly on low-risk actions, and make higher-risk actions explicit. We also preserve agent-native telemetry so we can understand and audit what the agent did. In practice, that means managed configuration, constrained execution, network policies, and agent-native logs. We deploy…

Parloa builds service agents customers want to talk to

Parloa builds service agents customers want to talk to Parloa uses OpenAI models to simulate, evaluate, and run voice-driven customer service systems for the enterprise. In Parloa’s early days, Co-founder Stefan Ostwald spent a day inside an insurance call center, where his team had been building early voice experiences. Sitting alongside agents, he listened to the same conversations play out again and again: password resets, policy questions, routine changes. He realized much of that work could be automated. After that experience, Berlin-based Parloa(opens in a new window) began building rule-based voice agents to automate high-volume customer interactions. With the emergence of ChatGPT, the company evolved to build what is now its AI Agent Management Platform (AMP), built on a new generation of models including GPT‑5.4. AMP gives enterprises a way to design, deploy, and manage customer service interactions at scale.…

Simplex rethinks software development with Codex

Simplex rethinks software development with Codex Simplex is using ChatGPT Enterprise and Codex to validate AI-driven development and scale more productive workflows. Results 70% Less time needed to develop each screen with Codex Results 40% Less time needed to design each screen with Codex Results 17% Less time needed for internal integration testing with Codex Simplex is a technology partner that works across consulting, systems development, and operations. To improve productivity in systems development, the company has quantitatively measured the impact of generative AI and applied those learnings across multiple projects. Building on that experience, Simplex is now evaluating generative AI use across all projects and advancing AI-native delivery in applicable projects, with the goal of improving productivity across the organization. After ChatGPT launched in 2022, Simplex established a center of excellence in 2023 to create the foundations for employees…

Introducing Trusted Contact in ChatGPT

Introducing Trusted Contact in ChatGPT Connecting you to someone you trust when it matters most. People use ChatGPT to learn, explore ideas, solve problems, and reflect on personal questions. Sometimes those conversations can involve moments when someone may be struggling or looking for support. Our goal is to design systems that respond thoughtfully to sensitive conversations and encourage people to connect with real-world help when needed. Today we are starting to roll out Trusted Contact, an optional safety feature in ChatGPT that allows adults to nominate someone they trust, such as a friend, family member, or caregiver, who may be notified if our automated systems and trained reviewers detect the enrolled person may have discussed harming themselves in a way that indicates a serious safety concern. Trusted Contact is designed to offer another layer of support alongside the localized helplines…

Advancing voice intelligence with new models in the API

We’re introducing three audio models in the API that unlock a new class of voice apps for developers. With these models, developers can build voice experiences that feel more natural, respond more intelligently, and take action in real time: - GPT‑Realtime‑2, our first voice model with GPT‑5‑class reasoning that can handle harder requests and carry the conversation forward naturally. - GPT‑Realtime‑Translate, a new live translation model that translates speech from 70+ input languages into 13 output languages while keeping pace with the speaker. - GPT‑Realtime‑Whisper, a new streaming speech-to-text that transcribes speech live as the speaker talks. Try GPT-Realtime-2 What can I ask? After you start the session, try saying one of these: - I’m hosting a last-minute dinner tonight. I have 30 minutes, two vegetarian friends, one mushroom-hater, and a tiny kitchen. Help me plan a simple menu. -…

Scaling Trusted Access for Cyber with GPT-5.5 and GPT-5.5-Cyber

Scaling Trusted Access for Cyber with GPT‑5.5 and GPT‑5.5‑Cyber How our latest models help each layer of the defensive ecosystem and accelerate the security flywheel. For years we’ve been chronicling our work to accelerate cybersecurity defenders, as part of our broader work to build the core infrastructure for AI. Last week, we released our action plan Cybersecurity in the Intelligence Age, which lays out our vision for democratizing AI-powered defense. Two weeks ago, we released GPT‑5.5, our smartest and most intuitive model to date, which is already delivering powerful cybersecurity capabilities to developers and security teams through Trusted Access for Cyber (TAC). Today, we are rolling out GPT‑5.5‑Cyber in limited preview to defenders responsible for securing critical infrastructure to support specialized cybersecurity workflows that help protect the broader ecosystem. We are focused on providing proportional safeguards and access to empower…

Introducing ChatGPT Futures: Class of 2026

Today, we’re proud to introduce the inaugural ChatGPT Futures Class of 2026(opens in a new window), recognizing 26 students and young builders using AI in thoughtful, ambitious, and deeply human ways. The class of 2026 is the first generation to start and finish college with ChatGPT. They arrived on campus in the fall of 2022 just as AI was beginning to reshape how people learn, create, and work. This generation was ChatGPT’s earliest adopters, sharing the tool with their parents and siblings, friends and teachers. Now, they’re graduating into a world where changes in technology are accelerating every day. Over the past few years, I’ve spent time visiting campuses, speaking with students and educators, and watching how young people are actually using AI in their daily lives. What I’ve seen has challenged many of the assumptions people make about this…

Uber uses OpenAI to help people earn smarter and book faster

Uber uses OpenAI to help people earn smarter and book faster Uber uses OpenAI to power AI assistants and voice features that help drivers earn smarter and riders book faster across a global real-time marketplace. Every day, millions of people rely on Uber to book rides, order meals, send packages, and earn flexibly. Behind every tap is a complex real-time marketplace shaped by traffic, weather, airport arrivals, local events, and demand. Uber operates at massive scale: 40 million trips per day, 10 million drivers and couriers across 15,000 cities in over 70 countries. Each city has its own operating dynamics, regulations, and rider behavior, creating a system that must adapt continuously at global scale. Uber has long used machine learning to support its marketplace. And now, with the benefit of large language models and OpenAI frontier models, Uber can reason…

Singular Bank helps bankers move fast with ChatGPT and Codex

Singular Bank helps bankers move fast with ChatGPT and Codex Singular Bank built an internal assistant that analyzes portfolios, recommends next actions in real time, and saves bankers 60–90 minutes per day. Results 60–90 min Time saved per banker per day Results <1 min Prep needed for client meeting Singular Bank, a private bank based in Madrid, built Singularity—an internal assistant powered by ChatGPT and Codex—that helps bankers analyze portfolios in real time, prepare for meetings, and generate compliant follow-up communications. Across the team, bankers save 60–90 minutes per day and spend more time advising clients instead of preparing materials. With less time spent searching for information and preparing materials, bankers can focus on what matters most: understanding the client, building relationships, and delivering value. “I used to prepare every meeting well in advance. Now I can analyze the portfolio…

How frontier firms are pulling ahead

How frontier firms are pulling ahead B2B Signals shows how the frontier advantage is beginning to compound for firms using AI more deeply, more broadly, and in more delegated workflows. TLDR - Frontier firms—those at the 95th percentile of usage—now use 3.5x as much intelligence per worker as typical firms, up from 2x a year ago. - The gap is about depth, not just activity: Message volume explains only 36% of the frontier advantage; most of the gap comes from richer, more complex AI use. - Agentic workflows are becoming a frontier marker: The largest advantage shows up in advanced tools, with frontier firms sending 16x as many Codex messages per worker as typical firms. - Organizations can move toward the frontier: Leading firms measure depth, build governance for production use, invest in enablement, scale what works, and move from…

How ChatGPT learns about the world while protecting privacy

How ChatGPT learns about the world while protecting privacy A plain-language guide to model training, privacy safeguards, and the privacy choices available in ChatGPT. Editor's note for Canada: The French text follows the English text (Le texte français suit le texte anglais). ChatGPT is becoming more capable across domains, helping people with complex, real-world work like coding, research, analysis, and multi-step tasks across tools. Those gains in capability are driven by training on a wide variety of data to help our models build broad knowledge of the world and apply it to new tasks. As OpenAI continues to develop frontier models, we work hard to help ensure that our model training process respects privacy. We’ve developed state of the art technologies to help our models learn useful general patterns rather than private information about individuals, and we have a number…

New ways to buy ChatGPT ads

New ways to buy ChatGPT ads We’re expanding ChatGPT ads with new ways for advertisers to buy and manage campaigns—built around our ads principles. We’re taking the next step in our ChatGPT ads pilot by making it easier for businesses to participate while keeping the experience useful, private, and clearly separate from ChatGPT’s answers. Advertisers can now create ChatGPT ads through partners or a new beta self-serve Ads Manager. We’re also introducing cost-per-click (CPC) bidding and expanded measurement tools, giving businesses more flexible ways to buy, manage, and understand campaign performance without sharing conversations or personal details with advertisers. These updates make it easier for more businesses to participate and lay the groundwork for a broader ads platform built around how people use ChatGPT. We initially worked directly with a small group of advertisers to launch campaigns in ChatGPT. As…

Advancing youth safety and wellbeing in EMEA

Advancing youth safety and wellbeing in EMEA Announcing our European Youth Safety Blueprint and EMEA Youth & Wellbeing Grant recipients Today, we are introducing our European Youth Safety Blueprint and the first recipients of our EMEA Youth & Wellbeing Grant. Both are part of our ongoing effort to help ensure young people can benefit from AI in ways that are age-appropriate and support their development and wellbeing. To ensure young people can fully benefit from AI, Europe needs an approach that is practical, evidence-led, and focused on how young people actually use AI. We are publishing our European Youth Safety Blueprint, which sets out five pillars for policymakers who want to strengthen protections for young people in the age of AI while preserving access to tools that support learning, creativity, and opportunity. The Blueprint focuses on practical measures including responsible…

GPT-5.5 Instant System Card

GPT‑5.5 Instant is our latest Instant model, and explained in our blog. The comprehensive safety mitigation approach for this model is similar to previous models in this series, but this is the first Instant model that we are treating as High capability in our Cybersecurity and Biological & Chemical Preparedness categories, and implementing appropriate safeguards. In this card we also refer to GPT‑5.5 Instant as gpt-5.5-instant. Note that there is not a model named GPT‑5.4 Instant, and the main model to baseline against is GPT‑5.3 Instant. Additionally, we refer to GPT‑5.5(opens in a new window) as GPT‑5.5 Thinking to avoid confusion with the instant model.

GPT-5.5 Instant: smarter, clearer, and more personalized

GPT‑5.5 Instant: smarter, clearer, and more personalized We’re updating ChatGPT’s default model, available to everyone, to be smarter and more accurate, with clearer, more concise answers that feel better tailored to you. Because Instant is the daily driver for hundreds of millions of people, small improvements make a big difference. This update makes everyday interactions more useful and more enjoyable: stronger and tighter answers across subject areas, a more natural conversational tone, and better use of the context you’ve already shared when personalization can help. Instant is now more dependable, with significant improvements in factuality across the board and the largest gains in domains where accuracy matters most. In internal evaluations, GPT‑5.5 Instant produced 52.5% fewer hallucinated claims than GPT‑5.3 Instant on high-stakes prompts covering areas like medicine, law, and finance. It also reduced inaccurate claims by 37.3% on especially…

Unlocking large scale AI training networks with MRC (Multipath Reliable Connection)

Supercomputer networking to accelerate large scale AI training Frontier model training depends on reliable supercomputer networks that can quickly move data between GPUs. To make this faster and more efficient, OpenAI has partnered with AMD, Broadcom, Intel, Microsoft, and NVIDIA to develop MRC (Multipath Reliable Connection): a novel protocol that improves GPU networking performance and resilience in large training clusters. We released MRC today(opens in a new window) through the Open Compute Project (OCP) to enable the broader industry to use it. With more than 900M people using ChatGPT every week, our systems are becoming core infrastructure for AI, helping people and businesses around the world build with increasingly capable models. Prior to the inception of Stargate, we co-developed, brought up, and maintained our first three generations of supercomputers with great care and close collaboration with our partners over the…

OpenAI and PwC collaborate to reimagine the office of the CFO

OpenAI and PwC collaborate to reimagine the office of the CFO Finance teams sit at the center of how organizations plan, allocate capital, manage risk, and make decisions. To help them keep up with growing demands, PwC and OpenAI are collaborating to help enterprises reimagine the office of the CFO with AI agents that can automate workflows, coordinate across systems, surface risks and insights, and support better decisions with strong governance and human oversight. Together, PwC and OpenAI are building AI agents around the core operating rhythms of finance, from planning, forecasting, and reporting to procurement, payments, treasury, tax, and the accounting close. What sets this collaboration apart is its focus on building in the real world, not just designing in theory. For example, PwC and OpenAI are building a procurement agent inside the OpenAI finance organization, and are applying…

How OpenAI delivers low-latency voice AI at scale

How OpenAI delivers low-latency voice AI at scale By Yi Zhang and William McDonald, Members of Technical Staff Voice AI only feels natural if conversation moves at the speed of speech. When the network gets in the way, people hear it immediately as awkward pauses, clipped interruptions, or delayed barge-in. That matters for ChatGPT voice, for developers building with the Realtime API, for agents working in interactive workflows, and for models that need to process audio while a user is still talking. At OpenAI’s scale, that translates into three concrete requirements: - Global reach for more than 900 million weekly active users - Fast connection setup so a user can start speaking as soon as a session begins - Low and stable media round-trip time, with low jitter and packet loss, so turn-taking feels crisp The team at OpenAI responsible…

Introducing Advanced Account Security

Introducing Advanced Account Security An advanced set of protections against unauthorized access to ChatGPT accounts, Codex, and the sensitive information they can contain. Today, we’re introducing Advanced Account Security, a new opt-in setting for ChatGPT accounts, designed for people at increased risk of digital attacks, as well as for those who want the strongest account protections available. It brings together a set of heightened security measures that help safeguard against account takeover while making those protections easier to activate in one place. Once enrolled, Advanced Account Security protects users in Codex as well. People are turning to AI for deeply personal questions and increasingly high-stakes work. Over time, a ChatGPT account can hold sensitive personal and professional context, and sit at the center of connected tools and workflows. For some people, like journalists, elected officials, political dissidents, researchers, and those…

Cybersecurity in the Intelligence Age

Cybersecurity in the Intelligence Age An action plan for democratizing AI-powered cyber defense. Artificial intelligence is reshaping cybersecurity. The same capabilities that help defenders identify vulnerabilities, automate remediation, and respond faster are also being used by malicious actors to scale attacks, lower barriers to entry, and increase sophistication. The United States and its allies face a rapidly changing cyber threat environment, and private-sector innovators have an important responsibility to help meet that challenge. OpenAI takes that responsibility seriously, and today we’re publishing an Action Plan informed by conversations with cybersecurity and national security experts across federal and state government and major commercial entities. It consists of five pillars: - Democratizing cyber defense - Coordinating across government and industry - Strengthening security around frontier cyber capabilities - Preserving visibility and control in deployment - Enabling users to protect themselves Our plan…

Building the compute infrastructure for the Intelligence Age

Building the compute infrastructure for the Intelligence Age Stargate is OpenAI’s long-term effort to build the compute foundation required to deliver the benefits of AGI broadly and reliably to the world. To meet the accelerating demand for AI across consumers, businesses, developers, and governments, we are continuing to expand our compute footprint and bring new capacity online faster. We are building together with partners, local communities, and the broader infrastructure ecosystem to help get ahead of shortages for the emerging compute-powered economy. When we announced Stargate in January 2025, we committed to securing 10GW of AI infrastructure in the United States by 2029. Just over a year later, we have already surpassed that milestone, with more than 3GW added in the last 90 days alone, as demand for AI continues to accelerate. That demand is growing quickly. The only responsible…

Where the goblins came from

Where the goblins came from Starting with GPT‑5.1, our models began developing a strange habit: they increasingly mentioned goblins, gremlins, and other creatures in their metaphors. Unlike model bugs that show up through a tanking eval or a spiking training metric and point back to a specific change, this one crept in subtly. A single “little goblin” in an answer could be harmless, even charming. Across model generations, though, the habit became hard to miss: the goblins kept multiplying, and we needed to figure out where they came from. The short answer is that model behavior is shaped by many small incentives. In this case, one of those incentives came from training the model for the personality customization feature(opens in a new window), in particular the Nerdy personality. We unknowingly gave particularly high rewards for metaphors with creatures. From there,…

OpenAI models, Codex, and Managed Agents come to AWS

OpenAI models, Codex, and Managed Agents come to AWS Today, OpenAI and AWS are expanding our strategic partnership to help enterprises build using OpenAI capabilities in their AWS environments. We’re excited to give AWS customers access to the best frontier models, agents, and tools, which will operate within the systems, security protocols, compliance requirements, and workflows they already use. The expanded partnership with Amazon brings together three key areas of work, all launching today in limited preview: - OpenAI models on AWS - Codex on AWS - Amazon Bedrock Managed Agents, powered by OpenAI Together, these capabilities give organizations more ways to use OpenAI across application development, software engineering, and agentic workflows—while building within the infrastructure, security, governance, and procurement workflows they already use on AWS. For many companies, using AI at scale requires bringing the best models to the…

Our commitment to community safety

Our commitment to community safety Mass shootings, threats against public officials, bombing attempts, and attacks on communities and individuals are an unacceptable and grave reality in today’s world. These incidents are a reminder of how real the threat of violence is—and how quickly violent intent can move from words to action. People may also bring these moments and feelings into ChatGPT. They may ask questions about the news, try to understand what happened, express fear or anger, or talk about violence in ways that are fictional, historical, political, personal, or potentially dangerous. We work to train ChatGPT to recognize the difference—and to draw lines when a conversation starts to move toward threats, potential harm to others, or real-world planning. We’re sharing what we do to minimize uses of our services in furtherance of violence or other harm: how our models…

Choco automates food distribution with AI agents

Choco automates food distribution with AI agents Using OpenAI APIs, Choco processes millions of orders, reducing manual work and enabling always-on operations across global food supply chains. Results 8.8M+ Orders processed annually Results 200B+ AI tokens processed in production Results ↑50% Reduction in manual order entry Results 2x Sales team productivity without added headcount Choco(opens in a new window) is an AI-powered platform modernizing food and beverage distribution, serving over 21,000 distributors and 100,000 buyers across the US, UK, Europe, and the GCC. By connecting restaurants, suppliers, and distributors into a unified system, Choco streamlines ordering, sales, and customer management across the food supply chain. As order volumes grew, Choco hit a major bottleneck: orders still arrived through emails, texts, voicemails, images, and even handwritten notes. Teams manually translated those inputs into structured ERP orders—a slow, error-prone process that limited…

An open-source spec for orchestration: Symphony

An open-source spec for Codex orchestration: Symphony By Alex Kotliarskyi, Victor Zhu, and Zach Brock Six months ago, while working on an internal productivity tool, our team made a controversial (at the time) decision: we’d build our repo with no human-written code. Every line in our project repository had to be generated by Codex. To make that work, we redesigned our engineering workflow from the ground up. We built an agent-friendly repository, invested heavily in automated tests and guardrails, and treated Codex as a full-fledged teammate. We documented that journey in our previous blog post on harness engineering. And it worked, but then we ran into the next bottleneck: context switching. To solve this new problem, we built a system called Symphony. Symphony(opens in a new window) is an agent orchestrator that turns a project-management board like Linear into a…

The next phase of the Microsoft OpenAI partnership

The next phase of the Microsoft OpenAI partnership Amended agreement provides long-term clarity. The rapid pace of innovation requires us to continue to evolve our partnership to benefit our customers and both companies. Today, we are announcing an amended agreement to simplify our partnership and the way we work together, grounded in flexibility, certainty, and a focus on delivering the benefits of AI broadly. The greater predictability in the amended agreement strengthens our joint ability to build and operate AI platforms at scale while providing both companies the flexibility to pursue new opportunities. The agreement spells out: - Microsoft remains OpenAI’s primary cloud partner, and OpenAI products will ship first on Azure, unless Microsoft cannot and chooses not to support the necessary capabilities. OpenAI can now serve all its products to customers across any cloud provider. - Microsoft will continue…

OpenAI available at FedRAMP Moderate

OpenAI has achieved FedRAMP 20x Moderate authorization(opens in a new window) for ChatGPT Enterprise and API Platform, marking an important milestone in making frontier AI available to U.S. government agencies with the security, privacy, and governance expectations required for federal work. Public servants should not have to wait for secure access to the same advanced AI capabilities transforming the rest of the economy. Agencies are already leveraging AI to expedite permitting, draft resident communications, advance frontier science, summarize complex information, support public health analysis, accelerate software development, translate services, and help employees find answers across policy and program material. This FedRAMP 20x Moderate authorization expands the set of missions that can use OpenAI’s managed products, subject to each agency’s policies and authorization decisions. Thanks to FedRAMP 20x, this milestone did not require choosing between speed and rigor. The 20x process…

Our principles

AI has the potential to significantly improve many aspects of society. This technology, like others before, will give people more capability and agency; what people will be able to do with AI will dwarf what people could do with steam engines or electricity. We envision a world with widespread flourishing at a level that is currently difficult to imagine, and a world in which individual potential, agency, and fulfillment significantly increase. A lot of the things we’ve only let ourselves dream about in sci-fi could become reality, and most people could live more meaningful lives than most are able to today. But this outcome is not guaranteed. Power in the future can either be held by a small handful of companies using and controlling superintelligence, or it can be held in a decentralized way by people. We believe the latter…

Introducing GPT-5.5

Update on April 24, 2026: GPT‑5.5 and GPT‑5.5 Pro are now available in the API. The system card has also been updated to describe the additional safeguards that apply. We’re releasing GPT‑5.5, our smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer. GPT‑5.5 understands what you’re trying to do faster and can carry more of the work itself. It excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, operating software, and moving across tools until a task is finished. Instead of carefully managing every step, you can give GPT‑5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going. The gains are especially strong in agentic coding, computer use, knowledge work,…

GPT-5.5 System Card

GPT‑5.5 is a new model designed for complex, real-world work, including writing code, researching online, analyzing information, creating documents and spreadsheets, and moving across tools to get things done. Relative to earlier models, GPT‑5.5 understands the task earlier, asks for less guidance, uses tools more effectively, checks it work and keeps going until it’s done. We subjected the model to our full suite of predeployment safety evaluations and our Preparedness Framework, including targeted red-teaming for advanced cybersecurity and biology capabilities, and collected feedback on real use cases from nearly 200 early-access partners before release. We are releasing GPT‑5.5 with our strongest set of safeguards to date, designed to reduce misuse while preserving legitimate, beneficial uses of advanced capabilities. We generally treat GPT‑5.5’s safety results as strong proxies for GPT‑5.5 Pro, which is the same underlying model using a setting that…

Automations

Automations Run recurring tasks automatically using schedules and triggers in Codex. Codex can automatically run tasks on a schedule. This makes Codex proactive. Instead of waiting for you to come back and ask for an update, Codex can return at the scheduled time, do the work, and surface the result for you to review. This is useful for recurring work, like preparing for the day, reviewing what changed, checking for updates, summarizing recent activity, or creating a weekly report. For example, you might use a thread automation to: - Write a weekly review every Friday - Create a morning brief from yesterday’s work - Summarize new files added to a folder - Clean up a weekly data export - Check for missing or inconsistent information - Create a recurring project status update Some automations can also return to the same…

Top 10 uses for Codex at work

Top 10 uses for Codex at work Try these 10 prompts to move real work forward with dashboards, decks, workflows, and more. You’ve seen what Codex can do. Now it’s time to put it to work. These use cases show how to use Codex to do real work: create deliverables, pull together context from multiple tools, take action on real inputs, and move tasks forward faster. Start with the generic prompt if you want something you can use right away, then use the customization suggestions and example to make it your own. You start the day by bouncing between your calendar, messages, email, and notes, trying to figure out what matters most. Codex can pull that context together, keep watch for changes, and turn it into one clear brief so you spend less time triaging and more time acting on…

Plugins and skills

Plugins and skills Plugins and skills help Codex do more specific kinds of work. Plugins help Codex connect to other tools and sources of information. For example, a plugin might help Codex reference files in Google Drive, scan your email inbox, or work with information from another tool you use. Plugins can be simple and useful right away. If you already have the information you need in a connected plugin, you can ask Codex to use it instead of copying and pasting everything into the thread. To access plugins, select plugins in the top left corner of Codex. From there, you can see plugins that are recommended or already installed, browse the plugins library, or create a new plugin. Creating a new plugin usually requires more technical expertise than creating a skill. A skill is like a playbook Codex can…

Working with Codex

Working with Codex Learn how to set up your Codex workspace and start working with threads and projects. When you open Codex, you’ll see a few core elements: a sidebar menu, projects, settings, and a chat window. You don’t need to understand everything right away, but we’ll cover the basics here. The sidebar is where you navigate between threads, projects, and tools. Most of your work will begin by creating a new thread. When you’re using Codex, think of a “thread” the same way you would think of a “chat” in ChatGPT. You can have a thread which stands on its own, or a thread which is nested within a project. Select New thread to begin. You can select an existing project to associate it with, create a new project, or leave it as a standalone conversation. Search to find…

Codex settings

Codex settings Make Codex work the way you want, with fewer interruptions. You can access settings from the menu in the bottom left corner of Codex. For your first few tasks, focus on a few key settings: personalization, prevent sleep, detail level, and appearance. General > Prevent sleep while running keeps your computer awake while Codex is running. This is useful for longer tasks. If your computer goes to sleep, Codex may stop working. General > Detail level controls how much information Codex shows while it is working. Coding mode shows the specific commands Codex is executing. If this is more information than you need, switch to Default to keep your conversation cleaner. Personalization works a lot like personalization in ChatGPT. You can decide whether you want Codex to speak to you in a friendly tone or a direct tone.…

What is Codex?

What is Codex? Understand what Codex is and how it fits into your work Codex is an AI agent that you can delegate real work to. ChatGPT is great for asking questions, brainstorming, and drafting in conversation. Codex is designed for a different kind of task—it can work across files, tools, and repeatable workflows to help move work forward. A simple way to think about it: ChatGPT helps you think through the work, while Codex helps you hand off parts of the work itself. You don’t need to be a developer or working on software to use Codex. It goes beyond coding and is especially useful for tasks that require more than a single answer—like gathering information from multiple sources, creating and updating files, or producing outputs such as documents, slides, and spreadsheets. Codex can connect to tools, take action,…

How to get started with Codex

How to get started with Codex Tips to set up Codex, create your first project, and start completing real tasks. Start by downloading the Codex desktop app and signing in with your ChatGPT account. Once you open Codex, create your first thread. A thread is like a chat in ChatGPT: a space where you go back and forth with Codex to accomplish a task. You can create a standalone thread, but most of the time you’ll want to work inside a project. A project is connected to a folder on your computer: Tip: To keep things simple, create a folder on your computer named Codex. Inside that Codex folder, you can have a separate folder for each project. If you want Codex to work with specific files for a project, just drag them into the folder. If not, you can…

GPT-5.5 Bio Bug Bounty

GPT‑5.5 Bio Bug Bounty Testing universal jailbreaks for biorisks in GPT‑5.5 As part of our ongoing efforts to strengthen our safeguards for advanced AI capabilities in biology, we’re introducing a Bio Bug Bounty for GPT‑5.5 and accepting applications. We’re inviting researchers with experience in AI red teaming, security, or biosecurity to try to find a universal jailbreak that can defeat our five-question bio safety challenge. - Model in scope: GPT‑5.5 in Codex Desktop only. - Challenge: Identify one universal jailbreaking prompt to successfully answer all five bio safety questions from a clean chat without prompting moderation. - Rewards: - $25,000 to the first true universal jailbreak to clear all five questions. - Smaller awards may be granted for partial wins at our discretion. - Timeline: Applications open April 23, 2026 with rolling acceptances, and close on June 22, 2026. Testing…

Lowe’s puts project expertise into every hand

Lowe’s puts project expertise into every hand With OpenAI, Lowe’s brings their Mylow Companion app to all retail associates, applying the same AI foundation behind their customer-facing Mylow virtual advisor. Home improvement projects aren’t simple shopping trips. They're major investments, often involving thousands of dollars, multiple visits, and specialized expertise. “When you’re buying a t-shirt and it doesn’t fit, you just return it. No big deal,” says Seemantini Godbole, EVP, Chief Digital and Information Officer at Lowe’s. “But if you’re renovating a kitchen or redoing your floors, those are expensive decisions. You want to feel confident. And that requires expertise.” Lowe’s Red Vest associates have long helped customers navigate that complexity. But with stores up to 130,000 square feet and tens of thousands of SKUs in store, even seasoned team members can’t know everything. And online shoppers face similar challenges:…

Making ChatGPT better for clinicians

Making ChatGPT better for clinicians Built for clinical work, ChatGPT for Clinicians is now available for free to verified individual clinicians in the U.S. We’re introducing ChatGPT for Clinicians, a version of ChatGPT designed to support clinical tasks like documentation and medical research so clinicians can focus on delivering high-quality patient care. We’re making it free for any verified physician, NP, PA, or pharmacist, starting in the U.S. The U.S. healthcare system today is under extraordinary strain. Clinicians are being asked to care for more patients while managing growing administrative demands and a rapidly expanding body of medical research. Many are already turning to AI tools like ChatGPT for support. According to a 2026 survey by the American Medical Association(opens in a new window), physician use of AI is now at an all-time high, with 72% of physicians reporting they…

Workspace agents

Workspace agents Understand, build, and use agents for repeatable work in ChatGPT. Most ChatGPT users already know how to use AI for one-off tasks—like drafting, summarizing, brainstorming, or answering questions. The next phase of AI use is broader and more embedded in day-to-day work. Instead of helping with isolated moments, AI is increasingly being used to support repeatable workflows that depend on shared systems, standard handoffs, consistent outputs, and real-world constraints like timing, accuracy, and process. That’s where workspace agents in ChatGPT fit. They’re designed to be used for repeatable workflows—work you’d otherwise do manually, re-explaining the steps each time, and copying information between tools. Learn more about workspace agents in our blog post. If you’re new to agent building, let’s focus on the core concepts first so when you start building, you’ll know how to set up your workspace…

Speeding up agentic workflows with WebSockets in the Responses API

Speeding up agentic workflows with WebSockets in the Responses API By Brian Yu and Ashwin Nathan, Members of the Technical Staff When you ask Codex to fix a bug, it scans through your codebase for relevant files, reads them to build context, makes edits, and runs tests to verify the fix worked. Under the hood, that means dozens of back-and-forth Responses API requests: determine the model’s next action, run a tool on your computer, send the tool output back to the API, and repeat. All of these requests can add up to minutes that users spend waiting for Codex to complete complex tasks. From a latency perspective, the Codex agent loop spends most of its time in three main stages: working in the API services (to validate and process requests), model inference, and client-side time (running tools and building model…

Introducing workspace agents in ChatGPT

Introducing workspace agents in ChatGPT Codex-powered agents for teams. Today, we’re introducing workspace agents in ChatGPT. Teams can now create shared agents that handle complex tasks and long-running workflows, all while operating within the permissions and controls set by their organization. Workspace agents are an evolution of GPTs. Powered by Codex, they can take on many of the tasks people already do at work—from preparing reports, to writing code, to responding to messages. They run in the cloud, so they can keep working even when you’re not. They’re also designed to be shared within an organization, so teams can build an agent once, use it together in ChatGPT or Slack, and improve it over time. AI has already helped people work faster on their own, but many of the most important workflows inside an organization depend on shared context, handoffs,…

Introducing OpenAI Privacy Filter

Today we’re releasing OpenAI Privacy Filter, an open-weight model for detecting and redacting personally identifiable information (PII) in text. This release is part of our broader effort to support a more resilient software ecosystem by providing developers practical infrastructure for building with AI safely, including tools and models that make strong privacy and security protections easier to implement from the start. Privacy Filter is a small model with frontier personal data detection capability. It is designed for high-throughput privacy workflows, and is able to perform context-aware detection of PII in unstructured text. It can run locally, which means that PII can be masked or redacted without leaving your machine. It processes long inputs efficiently, making redaction decisions in a quick, single pass. At OpenAI, we use a fine-tuned version of Privacy Filter in our own privacy-preserving workflows. We developed Privacy…

Introducing ChatGPT Images 2.0

April 21, 2026ProductReleaseCompanyIntroducing ChatGPT Images 2.0A new era of image generationTry in ChatGPT(opens in a new window)ShareImage modeClassic modeHorizontalSquareVerticalPage 1Page 2Page 3Page 4

Scaling Codex to enterprises worldwide

Scaling Codex to enterprises worldwide OpenAI is launching Codex Labs and partnering with top GSIs to bring it to thousands of engineering organizations. In early April, we shared that more than 3 million developers were using Codex every week. Just two weeks later, that number has grown to more than 4 million. Beyond individual adoption, we are seeing enterprises moving quickly to roll Codex into real workflows across engineering and beyond. Companies are using Codex across the software development lifecycle. Virgin Atlantic is using it to increase test coverage and increase team velocity - reducing technical debt and improving performance. Ramp is using it to accelerate code review. Notion is using it to quickly build new features. Cisco is using it to understand and reason across large, interconnected repositories. Rakuten is using it for things like incident response. What starts…

OpenAI helps Hyatt advance AI among colleagues

OpenAI helps Hyatt advance AI among colleagues Key takeaways: - Hyatt has deployed ChatGPT Enterprise. - With ChatGPT Enterprise, Hyatt employees can access frontier AI capabilities like GPT 5.4, Codex, and more. - Departments including finance, marketing, and operations will use ChatGPT Enterprise to improve Hyatt guest and customers’ experience. Hyatt’s innovative approach with OpenAI reflects how Hyatt is elevating its use of technology and enhancing human connections. The company is making artificial intelligence broadly accessible to its employees, enabling teams to spend less time on manual tasks and more time focused on delivering exceptional guest experiences. As part of this effort, Hyatt has made ChatGPT Enterprise available to employees across its global corporate and hotel workforce, making it a core component of how the business runs day to day. ChatGPT Enterprise is just one example of how Hyatt is…

Codex for (almost) everything

We’re releasing a major update to Codex, making it a more powerful partner for the more than 3 million developers who use it every week to accelerate work across the full software development lifecycle. Codex can now operate your computer alongside you, work with more of the tools and apps you use everyday, generate images, remember your preferences, learn from previous actions, and take on ongoing and repeatable work. The Codex app also now includes deeper support for developer workflows, like reviewing PRs, viewing multiple files & terminals, connecting to remote devboxes via SSH, and an in-app browser to make it faster to iterate on frontend designs, apps, and games. With background computer use, Codex can now use all of the apps on your computer by seeing, clicking, and typing with its own cursor. Multiple agents can work on your…

Introducing GPT-Rosalind for life sciences research

Introducing GPT‑Rosalind for life sciences research A new purpose-built model to accelerate scientific research and drug discovery. Today, we’re introducing GPT‑Rosalind, our frontier reasoning model built to support research across biology, drug discovery, and translational medicine. The life sciences model series is optimized for scientific workflows, combining improved tool use with deeper understanding across chemistry, protein engineering, and genomics. On average, it takes roughly 10 to 15 years to go from target discovery to regulatory approval for a new drug in the United States. Gains made at the earliest stages of discovery compound downstream in better target selection, stronger biological hypotheses and higher-quality experiments. Progress in the life sciences is constrained not only by the difficulty of the underlying science, but by the complexity of the research workflows themselves. Scientists must work across large volumes of literature, specialized databases, experimental…

Accelerating the cyber defense ecosystem that protects us all

Trusted Access for Cyber is designed around a simple premise: advanced cyber capabilities should reach defenders broadly, but access should scale with trust, validation, and safeguards. Today we’re sharing the first organizations helping put that approach into practice, from open-source security teams and vulnerability researchers to enterprises operating some of the world’s most complex digital environments. The strength of this approach comes from the breadth of defenders involved. Cybersecurity is a team sport, and the systems people rely on are protected by organizations of many kinds, from major enterprises and security vendors to researchers, maintainers, public institutions, nonprofits, and smaller teams with limited security resources. Not every organization has the benefit of a 24x7 security team who is able to respond to incidents when they are disclosed on a Friday night(opens in a new window). It’s important for all software…

The next evolution of the Agents SDK

The next evolution of the Agents SDK The updated Agents SDK helps developers build agents that can inspect files, run commands, edit code, and work on long-horizon tasks within controlled sandbox environments. We’re introducing new capabilities to the Agents SDK(opens in a new window) that give developers standardized infrastructure that is easy to get started with and is built correctly for OpenAI models: a model-native harness that lets agents work across files and tools on a computer, plus native sandbox execution for running that work safely. For example, developers can give an agent a controlled workspace, explicit instructions, and the tools it needs to inspect evidence: Developers need more than the best models to build useful agents—they need systems that support how agents inspect files, run commands, write code, and keep working across many steps. The systems that exist today…

Trusted access for the next era of cyber defense

We are scaling up our Trusted Access for Cyber (TAC) program to thousands of verified individual defenders and hundreds of teams responsible for defending critical software. For years, we’ve been building a cyber defense program on the principles of democratized access, iterative deployment, and ecosystem resilience. In preparation for increasingly more capable models from OpenAI over the next few months, we are fine-tuning our models specifically to enable defensive cybersecurity use cases, starting today with a variant of GPT‑5.4 trained to be cyber-permissive: GPT‑5.4‑Cyber. In this post, we share how we expect our approach of scaling cyber defense in lockstep with increasing model capabilities to guide the testing and deployment of future releases. The progressive use of AI accelerates defenders – those responsible for keeping systems, data, and users safe – enabling them to find and fix problems faster in…

Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI

Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI Key Takeaways: - Millions of enterprises can now access OpenAI frontier models directly within Cloudflare Agent Cloud. - With OpenAI, enterprises using Cloudflare’s Agent Cloud can deploy agents powered by models like GPT‑5.4 to perform real work. - Enterprises can now deploy agents built on Codex harness to Cloudflare. Cloudflare is expanding access to OpenAI frontier models, including GPT‑5.4, making them available to millions of customers across Agent Cloud. Agent Cloud is a platform that enables businesses to deploy AI agents powered by OpenAI models to perform real work. For example, companies can use it with OpenAI to deploy agents that automatically handle tasks like responding to customers, updating systems, and generating reports - all within a secure, production-ready environment. Agent Cloud runs on top of Cloudflare Workers AI(opens in…

Brainstorming with ChatGPT

Brainstorming with ChatGPT Generate ideas, organize thinking, and turn direction into actionable plans. ChatGPT can act as a structured thought partner. It helps you generate options quickly, organize ideas into clearer themes, and turn a rough direction into a plan you can execute. It’s especially useful when you’re starting from a blank page, working through many competing ideas, or creating a “first pass” before you bring others in. It won’t replace your context, expertise, or judgment—but it can make the thinking process faster, more consistent, and easier to share. Most brainstorming gets stuck in one of two places: not enough ideas, or too many ideas with no structure. ChatGPT helps by doing three things well: - Expands your option set: It can propose angles, experiments, messages, and alternatives quickly so you’re not starting from scratch. - Adds structure: It can…

Our response to the Axios developer tool compromise

Our response to the Axios developer tool compromise We recently identified a security issue involving a third-party developer tool, Axios, that was part of a widely reported, broader industry incident(opens in a new window). Out of an abundance of caution we are taking steps to protect the process that certifies our macOS applications are legitimate OpenAI apps. We found no evidence that OpenAI user data was accessed, that our systems or intellectual property was compromised, or that our software was altered. We are updating our security certificates, which will require all macOS users to update their OpenAI apps to the latest versions. This helps prevent any risk—however unlikely—of someone attempting to distribute a fake app that appears to be from OpenAI. You can update safely through an in-app update or at the official links below: The security and privacy of…

ChatGPT for research

ChatGPT for research Use ChatGPT to move from questions to evidence-backed insights and decisions. Researching with ChatGPT helps you move from question to evidence to decision more quickly. You can use it to gather and synthesize information, compare sources, and produce structured reports that include citations—so your output is easier to trust and easier to share. It’s useful for both quick orientation and for deeper, multi-step investigations. Why use ChatGPT for research? - Turn a fuzzy question into a clear research plan and set of sub-questions. - Sift through many sources faster and capture the important details with citations. - Produce consistent deliverables such as briefs, memos, competitor tables, annotated bibliographies. - Identify gaps, contradictions, and weak signals early—before committing to a direction. ChatGPT offers two main approaches for research, depending on how deep you need to go: Search is…

Getting started with ChatGPT

Getting started with ChatGPT Learn the basics of using ChatGPT and how to begin your first conversation. ChatGPT is a conversational AI assistant that helps you think, write, and solve problems by understanding natural language and generating human-like responses in real time. ChatGPT is built on large language models, enabling it to assist with a wide range of tasks. Learn more about large language models in What is AI. Take a look at the video below to learn about the different parts of the ChatGPT interface. Open ChatGPT.(opens in a new window) A new chat is already waiting for you. To get started, simply enter a prompt. A prompt is the question or instruction you type or share with ChatGPT to start a conversation. It is usually text, but it can also be an image, audio, file. Your prompt guides…

ChatGPT for operations teams

April 10, 2026 OpenAI AcademyChatGPT for operations teams Bring structure and clarity to operational work with ChatGPT. Operations teams sit at the intersection of information and execution. ChatGPT behaves like an always-on chief of staff. It reduces coordination friction by turning fragmented inputs into decision-ready summaries, documenting outcomes as reusable SOPs, and reinforcing the operating rhythm with consistent updates and artifacts. The result is less time stitching information together and more time driving execution. Why operations teams use ChatGPT - Helps you turn scattered inputs into a clear set of next steps. Operational work often pulls from many sources—notes, trackers, messages, and updates. ChatGPT helps organize this into a simple structure: what’s known, what’s unclear, what needs a decision, and who’s responsible. - Makes status updates clear enough that people stop asking the same questions. Status updates often stall because…

Analyzing data with ChatGPT

Analyzing data with ChatGPT Explore, analyze, and turn data into clear insights and actions. Loading… ChatGPT can help you move from raw data to useful insights with minimal setup. You can upload a CSV or Excel file, paste in a table, or connect a data source (if supported in your workspace), then start asking questions in plain language. Instead of building formulas, pivot tables, or dashboards for every question, you can quickly explore data, clean up tables, generate simple visualizations, and extract key takeaways in a format that's easy to share. It’s especially useful early in the process—when you’re still figuring out what’s in the data, identifying anomalies, and deciding where to dig deeper. It also helps translate findings into summaries others can review and act on. - Start with the decision you’re trying to support. A simple frame is:…

AI fundamentals

AI fundamentals Understand the basics of AI, including what it is, how it works, and how it’s used. Welcome! If you’re new to AI, you don’t need a technical background to get started. What helps most is a simple map of the landscape—so you can understand what AI systems can do, how they’re packaged, and how to choose the right tool for your needs. Artificial intelligence (AI) is a broad category of software that can recognize patterns, learn from data, and produce useful outputs. You’ve probably seen AI show up in everyday moments, like when: - Your map app reroutes you around traffic - Your bank flags a purchase as “unusual” - A customer support chatbot answers common questions AI is a category—not one single tool. Within that category are models: trained systems that learn from data and then apply…

ChatGPT for marketing teams

ChatGPT for marketing teams Plan campaigns, create content, and analyze performance faster with ChatGPT. Marketing teams often use ChatGPT to move smoothly from idea to brief to assets to launch—and then back again to review what worked. It helps bring scattered inputs into one place, turn them into clear messaging, and draft strong first passes of campaign content. Teams can also generate variations for testing and quickly summarize performance data into practical next steps. The result is less time spent starting from scratch or rewriting drafts, and more time focused on strategy, creativity, and execution. - Helps you think more clearly, faster. ChatGPT can take a messy starting point—notes, half-formed ideas, or lots of context—and turn it into a clear direction and next steps. It’s useful at both the beginning of a project, when you’re brainstorming or outlining, and at…

Working with files in ChatGPT

Working with files in ChatGPT Upload and work with files to analyze, edit, and generate content. ChatGPT allows you to upload and work with files directly in your conversations. This means you can analyze spreadsheets, edit documents, summarize PDFs, or work with images without leaving your chat. - Start a chat with ChatGPT. - Upload your file by opening the tools menu and selecting “Add photos or files” (supported formats include CSV, XLSX, PDF, DOCX, JPEG, PNG, TXT, and more). 3. Ask a question or give a task, for example: - “Summarize the main findings in this report and call out any risks or open questions.” - “Visualize this sales data by region and highlight the biggest changes month over month.” - “Rewrite this document to be clearer and more concise, while keeping the same tone.” - “Extract the key…

Using custom GPTs

Using custom GPTs Build purpose-built ChatGPT assistants that follow your instructions, use your context, and streamline repeatable work. Some versions of ChatGPT let you build custom GPTs—purpose-built versions of ChatGPT designed for a specific task or workflow. Instead of starting from a blank chat each time, a custom GPT can follow your preferred format, use your team’s context, and produce more consistent outputs—whether you’re drafting content, analyzing recurring datasets, generating visuals, or answering common questions. Custom GPTs are powered by tailored instructions that define how the GPT behaves. You can also add knowledge (files you upload) and enable tools (such as web search, data analysis, or connected actions). The result: less re-explaining, less copy/pasting, and fewer “wait—what’s the context again?” moments. You can explore custom GPTs here(opens in a new window). A regular chat is well-suited for quick, one-off tasks—brainstorming…

Personalizing ChatGPT

Personalizing ChatGPT Customize ChatGPT’s behavior with instructions and memory to fit your needs. ChatGPT works best when you treat it less like a search box and more like a collaborator. It’s a new kind of tool—one that responds in a conversational way, can take on a “personality,” and adapts based on the guidance you give it. The more context and direction you provide, the more useful (and consistent) it becomes. In this section, you’ll learn two simple ways to personalize ChatGPT so it behaves more like a reliable teammate: Custom instructions and Memory. Custom instructions tell ChatGPT what it should know about you and how you prefer it to respond. These settings apply to new conversations until you change, disable, or remove them. Even small details can meaningfully improve results, such as: - Your role and responsibilities (“I lead customer…

Using skills

Using skills Create reusable workflows that guide ChatGPT through recurring tasks. Skills turn the way you already work into reusable workflows that ChatGPT can follow consistently—so you spend less time re-explaining steps, formats, and requirements, and more time getting to a solid result. If you’ve ever found yourself reusing the same prompt or pasting the same template again and again, skills are designed to fix that. A skill is a reusable, shareable workflow that tells ChatGPT how to do a specific task. Rather than starting from scratch each time, you define the process once so it can be applied reliably whenever the task comes up. A skill typically includes: - Name and description: Help ChatGPT recognize when the skill is relevant. - Workflow instructions: Step-by-step guidance for the worflow—usually written in a file called SKILL.md. - Resources: Supporting materials the…

Healthcare

Healthcare AI resources for clinical workflows and decision support. This page brings together practical examples of how AI can support day-to-day clinical work. Whether you’re exploring early use cases or supporting teams already deploying AI, these prompts and guides are designed to help you move forward with confidence. Clinicians spend significant time searching for evidence, reconciling guidelines, and documenting care—time that could be spent with patients. ChatGPT for Healthcare is a secure workspace built for hospital providers and designed for HIPAA-compliant use, providing cited answers from trusted medical sources. It can support tasks like drafting clinical documentation, preparing prior authorizations, and summarizing patient information—helping reduce administrative overhead and improve focus on care. The prompt templates below illustrate how clinicians can use ChatGPT for Healthcare in common workflows.

ChatGPT for finance teams

ChatGPT for finance teams Improve reporting, streamline planning, and communicate insights more clearly. Finance teams spend a lot of time turning incomplete inputs into something reliable—reconciling numbers, explaining variances, updating forecasts, and responding to business questions. The challenge is often the overhead such as organizing context, drafting narratives, and maintaining consistency across recurring work. ChatGPT helps reduce that overhead by structuring messy inputs, drafting first-pass outputs, and standardizing common workflows. It doesn’t replace finance judgment, but it reduces time spent on formatting, rewriting, and starting from scratch. - Helps you organize the work before you write or build. When you’re reviewing a spreadsheet export, a set of notes, and different explanations from stakeholders, the hardest part is often structuring the problem. ChatGPT can help you outline the questions to answer, the drivers to test, and the follow-ups to request—so you…

Creating images with ChatGPT

Creating images with ChatGPT Generate and refine images using clear, descriptive prompts. ChatGPT can generate original images from plain-language prompts. You can iterate quickly—request variations, adjust composition or size, or explore new visual directions—and produce production-ready assets in minutes. This makes it easier to explore concepts, communicate ideas visually, and adapt existing assets for different audiences, formats, or channels. A good image prompt does not need to be long. In most cases, 1–3 clear sentences are enough. The goal is to help ChatGPT understand what the image is, how it should feel, and what it needs to accomplish. In practice, this means grounding the prompt in a few key details: the purpose of the image, the main subject, what is happening, where it takes place, and the desired visual style. If framing, lighting, or specific constraints matter, include those too.…

ChatGPT for sales teams

ChatGPT for sales teams Learn how sales teams use ChatGPT to build stronger pipeline and sell more effectively. ChatGPT helps sales teams move faster through the parts of selling that often slow them down—research, prep, follow-up, and deal coordination. It turns messy inputs like account notes, call takeaways, and CRM data into clear outputs such as briefs, emails, and plans. The result is more time for customer conversations and more consistency across outreach, discovery, and deal execution. - Speeds up account and meeting prep without missing the basics. Before a call, reps often pull context from multiple sources. ChatGPT can research accounts, synthesize internal context, highlight gaps, and produce a clear prep brief and follow-up plan. - Makes outreach and follow-up more consistent—and easier to personalize. Good sales writing is specific, concise, and relevant. ChatGPT can draft first-pass emails, call…

Applications of AI at OpenAI

Applications of AI at OpenAI Explore how OpenAI products and APIs bring AI into real-world use. OpenAI was founded with a long-term goal: to ensure advanced AI benefits humanity. Early work focused on research and experimentation, followed by large-scale model development. Over time, OpenAI began releasing models through both consumer-facing products and developer platforms, allowing individuals, teams, and organizations to apply AI to their work. At a high level, OpenAI currently supports AI applications in two ways: 1) Direct access through OpenAI products, like ChatGPT or Codex. These are tools people can use immediately for learning, work, creativity, and building. 2) Composable building blocks through APIs. These allow developers to integrate model intelligence into their own workflows, products, and systems. The sections below summarize the most common OpenAI products and what they’re designed for. ChatGPT is OpenAI’s main user-facing product—a…

Financial services

Financial services Explore resources to evaluate, deploy, and scale AI in regulated financial environments. This page brings together essential resources to help financial institutions evaluate, adopt, and scale AI in regulated environments. Whether you’re exploring early use cases or supporting teams already deploying AI, these tools, guides, and examples are designed to help you move forward with confidence. All resources are tailored specifically for the needs of banks, asset managers, insurers, and other financial services organizations. Learn more about OpenAI for Financial Services. A curated set of ready-to-use prompts vetted for day-to-day financial services work, including: - Data analysis and financial modeling - Research, search, and synthesis - Policy, tax, and regulatory interpretation - Contract, covenant, and document analysis - Data extraction and support for Excel, BI, and ERP workflows These prompts are built to accelerate time-to-value while maintaining clarity,…

ChatGPT for managers

ChatGPT for managers Prepare for conversations and manage team work more effectively with ChatGPT. People management is a series of high-stakes moments: 1:1s, feedback, hiring decisions, performance cycles, team updates, and hard conversations. Much of the work is preparation and follow-through—capturing what you heard, deciding what to do next, and communicating clearly. ChatGPT can help with the time-consuming, repetitive parts such as organizing notes, drafting first-pass messages, and creating reusable templates for recurring tasks like 1:1 agendas, interview kits, onboarding plans, and performance documentation. It doesn’t replace your judgment or responsibility to follow HR or legal policy, but it helps you get past the blank page and move faster. - Prepare for conversations without overthinking them. You know what needs to be addressed, but planning how to approach the conversation takes time—how to be direct, which examples to use, and…

Prompting fundamentals

Prompting fundamentals Learn how to write clear prompts to get better, more useful responses. Prompt engineering is the process of designing and refining your input in a way that helps ChatGPT give the best possible answer. It’s about figuring out how to ask so you get the result you want—whether that’s a clear summary, comprehensive report, or detailed analysis. ChatGPT works best when you give it clear instructions. There’s no single “perfect” way to write a prompt. Think of it as a conversation with a colleague, where you might need to adjust your phrasing or tone to help them understand what you need. Experimentation and iteration are the best ways to discover how AI can be most useful to you. Be clear about what you need ChatGPT to do. Outline what you want, who it’s for, and why it matters.…

ChatGPT for customer success teams

ChatGPT for customer success teams Manage accounts, improve communication, and drive better customer outcomes. Customer success work blends relationship management with operational follow-through—onboarding, adoption, troubleshooting, renewals, and cross-functional coordination. The challenge is often the overhead including pulling context from calls and tickets, turning notes into plans, writing clear follow-ups, and keeping everyone aligned on next steps. ChatGPT helps reduce that overhead by turning scattered inputs into clear, structured outputs so teams can focus more on customers and less on coordination. - Turns scattered customer context into a clear plan. CSMs often have the information—they just don’t have it in one place. ChatGPT can synthesize notes, emails, and product signals into a simple view of goals, current state, risks, and a concrete action plan you can share internally and with the customer. - Makes customer communication clearer and easier to act…

Research with ChatGPT

Research with ChatGPT Use search and deep research to find, analyze, and synthesize information from across the web. ChatGPT can be a helpful research partner because it quickly brings together information from many sources, making it easier to explore ideas, spot patterns, and understand complex topics. By reasoning through context, citing sources, and producing clear, structured summaries, it helps turn open questions into well-defined insights. There are two different ways to search the public internet with ChatGPT—search and deep research. Below is an explanation of both, and when to use each. ChatGPT search allows ChatGPT to pull in the latest information from the internet directly into your conversations. This means you can go beyond ChatGPT’s built-in training knowledge and get up-to-date answers on things like current events, market trends, competitor activity, or niche details not included in its training data.…

Using projects in ChatGPT

Using projects in ChatGPT Organize your work into dedicated spaces with shared context and history. Projects in ChatGPT are dedicated spaces for a specific body of work or area of focus. A project can hold chats, files, instructions, and related context in one place, so you do not need to restate the same background every time you start a new conversation. Projects are especially useful for work that continues over time. Instead of spreading materials across separate chats, you can keep everything together in one place and return to the same context when needed. On some plans, you can also invite other people to collaborate within a project. - Open Projects from the left-hand menu. - Create a new project and give it a name. - You can now add files, set project instructions, or move existing chats into the…

Responsible and safe use of AI

Responsible and safe use of AI Learn best practices for using ChatGPT safely and effectively. AI is a transformative new technology that is reshaping knowledge work. The large language models (LLMs) that power ChatGPT are trained on vast amounts of publicly available text and other data to predict and generate human-like language. This enables them to assist with tasks such as drafting, summarizing, brainstorming, and answering questions, helping people work more efficiently and creatively. As this technology continues to evolve, it is important to use AI responsibly. These models may sometimes produce incorrect information or be misused if their outputs are applied without care. OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity, and achieving this goal requires safe and thoughtful use by everyone. The tips on this page are designed to help anyone using…

Writing with ChatGPT

Writing with ChatGPT Draft, revise, and refine written work with clarity and intent. ChatGPT can support many common workplace writing tasks: drafting from scratch, rewriting and tightening, adjusting tone for a specific audience, and turning rough notes into clear communication. It’s especially useful when you’re short on time, staring at a blank page, or trying to land the right level of polish. Tip: ChatGPT can work with uploaded files, or access files via connected apps. Learn more here. Most workplace writing has the same goal: help someone understand something quickly and know what to do next. ChatGPT can speed up the parts that often take the most time—finding a strong opener, organizing ideas, and refining wording—so you can focus on the decisions and details that matter. It is also effective for adapting tone across audiences. You can take the same…

CyberAgent moves faster with ChatGPT Enterprise and Codex

CyberAgent moves faster with ChatGPT Enterprise and Codex CyberAgent uses ChatGPT Enterprise and Codex to help teams work faster, raise quality, and improve decisions across its businesses. Results 93% Monthly active usage of ChatGPT Enterprise CyberAgent is a Japanese internet company engaged in businesses such as internet advertising, media & IP, and gaming. Guided by its vision of “creating a company that represents the 21st century,” the company leverages its strengths in technology and creativity to generate new value both domestically and internationally. At CyberAgent, AI is positioned not as a set of limited advanced initiatives, but as a foundational technology that supports both business growth and operational design. The company has made continuous investments in this area. In 2016, it established “AI Lab” to conduct research and development of a wide range of AI technologies related to digital marketing.…

OpenAI Full Fan Mode Contest: Terms & Conditions

OpenAI Full Fan Mode Contest: Terms & Conditions NO PURCHASE IS NECESSARY TO PARTICIPATE OR WIN. YOUR ENTRY INTO THE FULL FAN MODE CONTEST (THE “CONTEST”) CONSTITUTES ACCEPTANCE OF THESE CONTEST TERMS AND CONDITIONS. THIS CONTEST IS NOT SPONSORED OR ENDORSED BY INSTAGRAM, THE IPL, BCCI, OR ANY FRANCHISE. This Full Fan Mode Contest (the “Contest”) is organized and run by OpenAI via @chatgptindia on Instagram, and will run during the IPL 2026 season. The Contest is a skill-based competition where eligible participants must use the Full Fan Mode section on ChatGPT to generate an image, share it as an Instagram story, and tag @chatgptindia. All submissions (a “Submission”) will be evaluated by judges in accordance with these Terms & Conditions, and winners will be selected based on creativity and relevance, and may be eligible for prizes. By entering the…

The next phase of enterprise AI

I just wrapped my first 90 days with OpenAI and have had the opportunity to meet with hundreds of our customers. What has struck me most is their immense sense of urgency and readiness. I’ve spent my entire career at the intersection of technology and enterprise transformation, and yet, I have never seen this level of conviction spread so quickly and consistently across industries. These leaders recognize AI as the most consequential shift of their lifetime, and they’re asking us how to reinvent their companies around it. I also saw that conviction reflected in our business this quarter. Building on our consumer strength, enterprise now makes up more than 40% of our revenue, and is on track to reach parity with consumer by the end of 2026. Codex just hit 3 million weekly active users, our APIs process more than…

Introducing the Child Safety Blueprint

Introducing the Child Safety Blueprint A framework for combatting and preventing AI-enabled Child Sexual Exploitation Child sexual exploitation is one of the most urgent challenges of the digital age. AI is rapidly changing both how these harms emerge across the industry and how they can be addressed at scale. At OpenAI, we have built and continue to strengthen safeguards to prevent misuse of our systems, and we work closely with partners like the National Center for Missing and Exploited Children (NCMEC) and law enforcement to improve detection and reporting. This work has helped surface where stronger, shared standards are needed across the industry. Today, we’re introducing a policy blueprint that outlines a practical path forward for strengthening U.S. child protection frameworks in the age of AI. This blueprint reflects and incorporates feedback from several leading organizations and experts across the…

Announcing the OpenAI Safety Fellowship

Introducing the OpenAI Safety Fellowship A pilot program to support independent safety and alignment research and develop the next generation of talent Today we are announcing a call for applications to the OpenAI Safety Fellowship, a new program for external researchers, engineers, and practitioners to pursue rigorous, high-impact research on the safety and alignment of advanced AI systems. The program will run from September 14, 2026 through February 5, 2027. We are looking for applicants interested in safety questions that matter for existing and future systems. Priority areas include safety evaluation, ethics, robustness, scalable mitigations, privacy-preserving safety methods, agentic oversight, and high-severity misuse domains, among others. We are especially interested in work that is empirically grounded, technically strong, and relevant to the broader research community. Fellows will work closely with OpenAI mentors and engage with a cohort of peers. Workspace…

Industrial policy for the Intelligence Age

Industrial policy for the Intelligence Age Ideas to keep people first. As we move toward superintelligence, incremental policy updates won’t be enough. To kick-start this much needed conversation, OpenAI is offering a slate of people-first policy ideas(opens in a new window) designed to expand opportunity, share prosperity, and build resilient institutions—ensuring that advanced AI benefits everyone. These ideas are ambitious, but intentionally early and exploratory. We offer them not as a comprehensive or final set of recommendations, but as a starting point for discussion that we invite others to build on, refine, challenge, or choose among through the democratic process. To help sustain momentum, OpenAI is: - welcoming and organizing feedback through newindustrialpolicy@openai.com - establishing a pilot program of fellowships and focused research grants of up to $100,000 and up to $1 million in API credits for work that builds…

OpenAI acquires TBPN

Fidji Simo shared this message with the company earlier today: I’m excited to share that we’ve acquired TBPN(opens in a new window). This acquisition brings a team with strong editorial instincts, deep audience understanding, and a proven ability to convene influential voices across tech, business, and culture. TBPN has built something pretty special. It’s one of the places where the conversation about AI and builders is actually happening day to day. A lot of you already watch it, and rely on it to stay close to what’s going on. As I've been thinking about the future of how we communicate at OpenAI, one thing that's become clear is that the standard communications playbook just doesn't apply to us. We're not a typical company. We're driving a really big technological shift. And with our mission to ensure artificial general intelligence benefits…

Codex now offers more flexible pricing for teams

We’re making it easier to just build things. Starting today, teams on ChatGPT Business and Enterprise can add Codex-only seats to their workspaces with pay-as-you-go pricing, giving full access to Codex without a fixed seat fee. Now, small groups can begin pilots, prove value in a few critical workflows, and easily expand from there. We’re also making Codex pricing easier to understand. Codex-only seats have no rate limits, and usage is billed on token consumption. This gives you a clearer view of how usage turns into spend and makes it easier to track costs across budgets, workflows, and teams. Teams that need broad ChatGPT access can continue using standard ChatGPT Business seats that do include Codex usage limits. To make that path more accessible, we’re lowering the annual price of ChatGPT Business from $25 to $20 per seat. The best…

Gradient Labs gives every bank customer an AI account manager

Gradient Labs gives every bank customer an AI account manager Gradient Labs uses GPT‑4.1 and GPT‑5.4 mini and nano to run complex financial support workflows with high accuracy and low latency. Results 10x Revenue growth Results 98% Customer satisfaction with AI agent experience Results +11% Higher accuracy with GPT-4.1 vs. next-best provider In banking, resolving a customer issue is rarely simple. Cases like fraud or blocked payments require strict adherence to complex procedures across multiple teams. When systems fall short, customers are passed between teams, wait in queues, and face delays at moments when the stakes are highest. Gradient Labs(opens in a new window) is built to handle this complexity. The London-based company is building AI agents that give every bank customer the experience of a dedicated account manager. Founded by a team that previously led AI and data efforts…

Accelerating the next phase of AI

OpenAI raises $122 billion to accelerate the next phase of AI Today, we closed our latest funding round with $122 billion in committed capital at a post money valuation of $852 billion. OpenAI is becoming the core infrastructure for AI, making it possible for people around the world and businesses, big and small, to just build things. The broad consumer reach of ChatGPT creates a powerful distribution channel into the workplace, where demand is rapidly shifting from basic model access to intelligent systems that reshape how businesses operate. Developers build on and expand the platform by leveraging our APIs, and Codex is transforming how developers turn ideas into working software. Durable access to compute is the strategic advantage that compounds across the entire system: it advances research, improves products, expands access, and structurally lowers the cost of delivery at scale.…

Helping disaster response teams turn AI into action across Asia

Helping disaster response teams turn AI into action across Asia First-of-its-kind AI workshop with the Gates Foundation, ADPC, and DataKind. Today in Bangkok, we’re bringing together 50 disaster management leaders from across Southeast and South Asia for our inaugural AI Jam for Disaster Management professionals, in partnership with the Gates Foundation, Asian Disaster Preparedness Center (APDC), and DataKind. The question guiding this initiative is simple, but urgent: How can AI help governments and nonprofits respond faster and more effectively when it matters most? Participants come from 13 countries—Bangladesh, India, Indonesia, Lao PDR, Malaysia, Myanmar, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, Timor Leste, Vietnam—representing government agencies, multilateral organizations and non-profits. Many are directly involved in disaster response on the ground, coordinating information, supporting affected communities, and making time-critical decisions. This effort also builds on the expansion of our OpenAI for Countries…