Designing Claude Code

Anthropic’s Meaghan Choi (Claude Code) and Alex Albert (Claude Relations) discuss the design principles behind Claude Code, the evolution of the terminal in the age of large-language models (LLMs), and how product designers can prototype new features with agentic coding. 0:00 - Introductions 00:20 - Claude Code’s design principles 1:40 - The evolution of the terminal 3:22 - Mapping the developer workflow to Claude Code 5:10 - Prompting in the terminal 6:45 - How we design new features 8:10 - Meaghan’s favorite Claude Code design elements 9:10 - Tips and tricks for designers using Claude Code (brainstorming with Claude, scoping product development timelines, and making design tweaks after new product releases) Learn more: https://claude.com/product/claude-code

Introducing ChatGPT Pulse

Today we’re releasing a preview of ChatGPT Pulse to Pro users—a new experience where ChatGPT proactively does research to deliver personalized updates based on your chats, feedback, and connected apps. Each night ChatGPT learns what matters to you—pulling from memory, chats, and feedback—then delivers focused updates the next day. Expand updates to dive deeper, grab next steps, or save for later so you stay on track with clear, timely info. Pulse is the first step toward a more useful ChatGPT that proactively works on your behalf, and this preview lets us work with power users to learn, iterate, and improve before rolling it out more broadly.

Keep thinking with Claude

There's never been a better time to be a problem solver. Claude is the AI collaborator that helps you think deeper—whether you're coding, creating, or reimagining what’s possible. Keep thinking. https://claude.com

Codex and the future of coding with AI — the OpenAI Podcast Ep. 6

What happens when AI becomes a true coding collaborator? OpenAI co-founder Greg Brockman and Codex engineering lead Thibault Sottiaux talk about the evolution of Codex—from the first glimpses of AI writing code, to today’s GPT-5 Codex agents that can work for hours on complex refactorings. They discuss building “harnesses,” the rise of agentic coding, code review breakthroughs, and how AI may transform software development in the years ahead. Chapters 1:15 – The first sparks of AI coding with GPT-3 4:00 – Why coding became OpenAI’s deepest focus area 7:20 – What a “harness” is and why it matters for agents 11:45 – Lessons from GitHub Copilot and latency tradeoffs 16:10 – Experimenting with terminals, IDEs, and async agents 22:00 – Internal tools like 10x and Codex code review 27:45 – Why GPT-5 Codex can run for hours on complex tasks 33:15 – The rise of refactoring and enterprise use cases 38:50 – The future of agentic software engineers 45:00 – Safety, oversight, and aligning agents with human intent 51:30 – What coding (and compute) may look like in 2030 57:40 – Advice: why it’s still a great time to learn to code

Exploring Vibe Coding and the Future of Product Management with Gunnar Berger - JSJ 690

In this episode of JavaScript Jabber, I sit down with Amazon product leader Gunnar Berger to dive into the fast-evolving world of vibe coding and how it’s res

Preview: Claude can create and edit files

Now Claude can create and work directly with your files, eliminating hours of manual busywork. This doesn't just save time; it brings Claude's analytical power straight into documents, spreadsheets, presentations, and PDFs.

Build Hour: Codex

Codex is now one agent for everywhere you code — connected by your ChatGPT account. This Build Hour is a hands-on walkthrough of how to use all its features, including the new IDE extension and code review. Dominik Kundel (Developer Experience) and Pranav Deshpande (Product Marketing) cover: - What’s new with Codex? IDE extension, revamped Codex CLI, code review, and local to cloud handoffs - How Codex works: where you can use it, and where it runs - Live demos for pair programming with Codex CLI and IDE extension - Best practices for structuring your codebase and delegating tasks to the - Codex cloud agent - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Codex docs: https://developers.openai.com/codex 👉 Agents.md: https://agents.md/ 👉 Codex CLI repo: https://github.com/openai/codex 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/

Lowe’s gets answers faster with GPT-5

Lowe’s has built their AI strategy around three pillars: "how we shop", "how we sell", and "how we work". GPT-5 can help all three pillars by holding context longer, applying reasoning across multiple inputs, and reducing the number of steps needed to get to the right answer. Hear more from Chandhu Nair, Senior Vice President of Data, AI, and Innovation at Lowe’s.

GPT-5 reshapes how teams work at Moderna

At Moderna, scientists who have never written code are generating algorithms in minutes in plain English using GPT-5. In this short video, Brice Challamel, Head of AI Products & Innovation, shows where GPT-5 is already influencing his work.

Build Hour: GPT-5

GPT-5 is OpenAI’s most steerable reasoning model yet. This Build Hour walks through its new capabilities, how to use it in the Responses API, and practical prompting techniques for coding and agentic tasks. Bill Chen (Applied AI), Eric Han (Research), and Anoop Kotha (Applied AI) cover: - GPT-5 capabilities: stronger code quality, front-end/UI generation, agentic task reliability - New parameters: minimal reasoning, verbosity, and free-form function calling - Live demo: building a Minecraft clone using GPT-5 in the Responses API - Prompting best practices: avoiding conflicting instructions, meta prompting, and controlling agentic behavior - Customer spotlight: Charlie Labs shows how they built an autonomous coding agent that works directly in GitHub and Slack workflows (https://www.charlielabs.ai/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 GPT-5 Docs: https://platform.openai.com/docs/models/gpt-5 👉 Prompt Optimization Cookbook: https://cookbook.openai.com/examples/gpt-5/prompt-optimization-cookbook 👉 Prompting Guide: https://cookbook.openai.com/examples/gpt-5/gpt-5_prompting_guide 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Built-In Tools

Built-in tools let you extend models out of the box without writing custom functions. This Build Hour shows you how to use web search, file search, code interpreter, MCP, and image generation directly with the Responses API, with demos of adding these tools to real applications. Katia Gil Guzman (Developer Experience) covers: - What are built-in tools? How do they compare to function calling? - Available tools: web search, file search, MCP, code interpreter, computer use, image generation - Playground demo: experimenting with tools in (https://platform.openai.com/chat) - Live demo: building a data exploration dashboard using MCP, web search, and code interpreter - Why use built-in tools? Minimal coding, functionality out-of-the-box, and ability to combine tools - Customer spotlight: Hebbia’s use of web search for finance and legal workflows (https://www.hebbia.com/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Playground: https://platform.openai.com/chat 👉 Built-In Tools Guide: https://platform.openai.com/docs/guides/tools 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Voice Agents

Voice agents don’t just transcribe anymore — they think, talk, and call tools in real time. This Build Hour demos speech-to-speech agents built with the Realtime API and Agents SDK that can handle conversations natively in audio, reason about context, and call tools while streaming speech back to the user. Brian Fioca and Prashant Mital (Applied AI) cover: - Why voice agents now: APIs to the real world, expressive + accessible interactions - Architectures: chained speech-to-text vs. end-to-end speech-to-speech models - Live demo: building a voice-powered workspace manager + designer agent with handoffs - Best practices: evals, guardrails, and delegation - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Check out the voice agents guide: https://platform.openai.com/docs/guides/voice-agents 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Reinforcement Fine-Tuning

Reinforcement fine-tuning (RFT) lets you improve how models reason by training with graders instead of large labeled datasets. This Build Hour shows you how to set up tasks, design grading functions, and run efficient training loops with just a few hundred examples. Prashant Mital and Theophile Sautory (Applied AI) cover: - Intro to RFT: optimization, fine-tuning options, RFT benefits - Task setup: prompts, graders, and training and validation data - Live demo: building and running RFT for a classification task - RFT workflow: from dataset selection to evaluating and iterating - Customer spotlight: Accordance uses RFT models for tax and accounting workflows (https://accordance.com/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 RFT Cookbook: https://cookbook.openai.com/examples/reinforcement_fine_tuning 👉 RFT Use Case Guide: https://platform.openai.com/docs/guides/rft-use-cases 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Agentic Tool Calling

In 2025, agents don’t just think — they run code, call tools, and complete tasks. This Build Hour is a hands-on walkthrough of how to design agentic systems that reason and act using OpenAI’s latest APIs and SDKs. Ilan Bigio (Developer Experience) covers: - What’s new in 2025: Responses API, Agents SDK, Hosted Tools, Codex, and more - Chain of thought concepts: reasoning, tool calling, and long-horizon tasks - Live demo: building an agentic task system to process a backlog of tickets - Delegation: directional guidance for evals - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Check out additional resources: https://developers.openai.com/ 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

Build Hour: Image Gen

Over 130M people created images with Image Gen in its first week inside ChatGPT. Now, with Image Gen in the API, developers can build the same capabilities directly into their own apps and platforms.This Build Hour walks through gpt-image-1 in the API, with demos on streaming, editing, and masking for real-world apps. Bill Chen (Applied AI) covers: - What’s new: text rendering, world knowledge, image inputs - New capabilities: streaming, multi-turn editing, masking - Best practices: picking the right API (image vs responses), customizing outputs, handling latency & UX tradeoffs - Live demo: building an AI-powered photobooth from scratch - Customer spotlight: create AI presentations using Gamma (https://gamma.app/) - Live Q&A 👉 Follow along with the code repo: https://github.com/openai/build-hours 👉 Check out the Image Gen Guide: https://platform.openai.com/docs/guides/image-generation 👉 Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours

The future of agentic coding with Claude Code

Anthropic's Boris Cherny (Claude Code) and Alex Albert (Claude Relations) discuss the current and future state of agentic coding, the evolution of coding models, and designing Claude Code's "hackability." Boris also shares some of his favorite tips for using Claude Code. 0:00 - Introductions 0:39 - The current state of agentic coding 5:20 - The evolution of coding models 7:39 - Coding model evaluation 8:56 - Claude Code user feedback loops 10:34 - The “hackability” of Claude Code (CLAUDE.md, MCP, slash commands) 13:11 - The future of agentic coding 14:49 - How to upskill for agentic coding 17:49 - Claude Code tips and tricks Learn more about Claude Code: http://clau.de/future-of-agentic-coding Check out the Claude Code docs: https://clau.de/claude-code-docs

Bain accelerates client value with GPT-5

Bain & Company has embedded GPTs across its business, with dozens of proprietary applications and nearly 25,000 custom versions in use. Gene Rapoport, Partner & AI Leader in the Private Equity practice, shares how GPT-5 drives better outputs — and improved client results — by powering everything through one consistent, flexible model.

OpenAI to Z Challenge

10,000+ people joined the OpenAI to Z Challenge to explore how AI can push the archaeological frontier in the Amazon. The winner is Team Black Bean, which used deep learning on public LiDAR + satellite data to build maps that surface what's under rainforest canopies. ➡️ Black Bean’s submission: https://www.kaggle.com/competitions/openai-to-z-challenge/writeups/amazon-archeological-site-discovery-a-deep-learnin

Introducing gpt-realtime in the API

Join Brad Lightcap, Peter Bakkum, Beichen Li, Liyu Chen, Julianne Roberson, and Srini Gopalan as they introduce and demo our most advanced speech-to-speech model and new API features like MCP, SIP, image input, and more.

Navigating the AI bubble, the 10x AI engineer, and the Cloudflare vs. Perplexity data grab

Is the AI industry an unsustainable bubble built on burning billions in cash? We break down the AI hype cycle, the tough job market for developers, and whether a crash is on the horizon. In this panel discussion with Josh Goldberg, Paige, Paul, and Noel, we tackle the biggest questions in tech today. * We debate if AI is just another Web3-style hype cycle * Why the "10x AI engineer" is a myth that ignores the reality of software development * The ethical controversy around AI crawlers and data scraping, highlighted by Cloudflare's recent actions Plus, we cover the latest industry news, including Vercel's powerful new AI SDK V5 and what GitHub's leadership shakeup means for the future of developers.

Research Preview: Claude for Chrome

Threat Intelligence: How Anthropic stops AI cybercrime

AI helps people work more efficiently. Unfortunately, this also applies to criminals. We've discovered that our own AI models are being used in sophisticated cybercrime operations, including a large-scale fraud scheme run by North Korea. What is Anthropic doing to detect and prevent AI cybercrime? How exactly are criminals using large language models to scam their victims? And what is "vibe hacking"? In this video, Anthropic's Jacob Klein and Alex Moix answer all these questions and more, discussing their work disrupting AI cybercrime and their new Threat Intelligence report. Read the Threat Intelligence report: https://www.anthropic.com/news/detecting-countering-misuse-aug-2025 Sections: Introduction [00:00] "Vibe hacking" [01:49] Our response to abuses of our models [08:34] North Korea's employment scam [15:02] Ransomware, romance scams, and other abuses [23:50] How concerned should we be? [31:46]

Vibe Coding: Building Faster with AI-Powered Development - JSJ 687

In this episode of JavaScript Jabber, we dive deep into the world of vibe coding—what it means, how it works in practice, and why it’s changing the way deve

Building and prototyping with Claude Code

Anthropic's Cat Wu (Claude Code) and Alex Albert (Claude Relations) discuss how the Claude Code team prototypes new features, best practices for using the Claude Code SDK and other learnings from building our agentic coding solution alongside developers. Learn more about Claude Code: http://clau.de/prototyping-claude-code Check out the Claude Code docs: https://clau.de/claude-code-docs 0:00 - Introductions 0:26 - How Anthropic prototypes new features with Claude Code 3:43 - Common use cases 5:47 - Usage patterns and "multi-Clauding" 7:13 - Customizing Claude Code (CLAUDE.md, slash commands, and hooks) 8:34 - Overview of the Claude Code SDK 10:13 - Using the Claude Code SDK to build agents 12:10 - Tips and best practices

Canva prototypes faster with GPT-5

Canva has always used AI to make design more accessible. CJ Jones, Canva’s Global Head of Design, GenAI, is using GPT-5 to prototype new features like polls and quizzes, and build faster for 100+ languages. Hear more in this short clip.

Uber uses GPT-5 to balance speed and quality

Uber's early explorations with GPT-5 have shown the potential to deliver richer responses that feel more natural and helpful. Hear more from Jai Malkani, Uber’s Global Head of AI & Product, Customer Obsession, in this short video.

Interpretability: Understanding how AI models think

What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models just "glorified autocompletes", or is something more complicated going on? How do we even study these questions scientifically? Join Anthropic's Josh Batson, Emmanuel Ameisen, and Jack Lindsey as they discuss the latest research on AI interpretability. Read more about Anthropic's interpretability research: https://www.anthropic.com/news/tracing-thoughts-language-model Sections: Introduction [00:00] The biology of AI models [01:37] Scientific methods to open the black box [6:43] Some surprising features inside Claude's mind [10:35] Can we trust what a model claims it's thinking? [20:39] Why do AI models hallucinate? [25:17] AI models planning ahead [34:15] Why interpretability matters [38:30] The future of interpretability [53:35]

AGI progress, surprising breakthroughs, and the road ahead — the OpenAI Podcast Ep. 5

How close are we to automating scientific discovery? What do AI competition wins really tell us about progress toward AGI? OpenAI Chief Scientist Jakub Pachocki and researcher Szymon Sidor share inside stories—from gold medals at the International Math Olympiad to surprising leaps in reasoning—that reveal where AI is headed next. Chapters 1:20 – From high school in Poland to AI research leaders 4:50 – Explaining AGI: technical and everyday perspectives 6:30 – Automating scientific discovery with AI 7:50 – Breakthroughs in medicine, AI safety, and alignment 10:30 – Today is a decade in the making 14:30 – Benchmark saturation and its limits 16:50 – Why math competitions matter for AI 18:15 – How models reason without tools 21:45 – Recognizing when a model can’t solve a problem 23:30 – Storytime: AtCoder competition in Japan 26:50 – How reasoning breakthroughs really happen 28:55 – What’s next for scaling and long-horizon reasoning 30:30 – What AGI will look and feel like 36:25 – Balancing trust and personal value 34:00 – Advice to high school students in 2025

The Next Wave of Dev Tools: AI Assistants and JavaScript Workflows - JSJ 686

In this episode of JavaScript Jabber, we sit down with Vinicius Dallacqua, a seasoned software engineer with a passion for performance and developer tooling. Vi

Pick up where you left off with Claude

Never lose track of your work again. Claude now remembers your past conversations, so you can seamlessly continue projects, reference previous discussions, and build on your ideas without starting from scratch every time.

Introducing GPT-5

Introducing GPT-5, our best AI system yet! GPT-5 features state-of-the-art performance across coding, math, writing assistance, health, visual perception, and more. Use GPT-5 to build websites, create apps, and tap into its improved writing capabilities to help with everyday tasks like reports, emails, and editing. GPT-5 is also our best model yet for health-related questions, empowering users to be informed about and advocate for their health. GPT‑5 is rolling out to all users starting today.

Inside VueConf: Nuxt 4, AI in Development, and the Future of Vue with Erik Hanchett - JSJ 685

In this episode of JavaScript Jabber, we welcome back Erik Hanchett, Senior Developer Advocate at AWS, to dive into his experience at VueConf. From the energy o

Introducing GPT-5

Join Sam Altman, Greg Brockman, Sebastien Bubeck, Mark Chen, Yann Dubois, Brian Fioca, Adi Ganesh, Oliver Godement, Saachi Jain, Christina Kaplan, Tina Kim, Elaine Ya Le, Felipe Millon, Michelle Pokrass, Jakub Pachocki, Max Schwarzer, Rennie Song, Ruochen Wang as they introduce and demo GPT-5.

Delegate work to ChatGPT agent

See ChatGPT agent in action — researching, coding, and taking action online to complete an ecommerce business plan in minutes. In this demo, you’ll watch it: - Find ecommerce and health industry reports - Gather and organize data in a spreadsheet - Build charts and a customizable business plan calculator - Create a polished research report - Navigate websites, sign up for newsletters, and adapt steps automatically You’ll also see how to stay in control at any time — guiding, interrupting, or taking over tasks — and how ChatGPT agent decides the best tools to use for each step. Learn more | Help documentation: https://help.openai.com/en/articles/11752874-chatgpt-agent Try now | Get started with ChatGPT agent: https://bit.ly/4msnLyf With ChatGPT agent, you can hand off hours of work and come back to ready-to-review results — freeing up time for what matters most.

Claude for Financial Services Keynote

Visit anthropic.com/solutions/financial-services to learn more about Claude's finance-specific capabilities. Hear directly from Anthropic executives and industry leaders at Claude for Financial Services, where Anthropic leadership and senior financial executives discussed the future of AI in the financial services industry on July 15, 2025 in New York City, USA.

Building AI agents with Claude in Amazon Bedrock

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Du'An Lightfoot, Senior Developer Advocate @ AWS Suman Debnath, Principal Developer Advocate @ AWS Banjo Obayami, Senior Solutions Architect @ AWS

Building AI agents with Claude in Google Cloud's Vertex AI

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Ivan Nardini, Developer Relations Engineer, AI/ML, Google Cloud

Building headless automation with Claude Code

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Sid Bidasaria, Member of Technical Staff @anthropic-ai

Bringing new tool use advancements to life: Claude Plays Pokemon

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speaker: David Hershey, Member of Technical Staff @anthropic-ai

Claude Code best practices

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Cal Rueb, Member of Technical Staff at @anthropic-ai

MCP 201: The power of protocol

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: David Soria Parra, Member of Technical Staff at @anthropic-ai

MCP at Sourcegraph

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Beyang Liu, Cofounder and CTO at @Sourcegraph

Prompting 101

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Hannah Moran, Applied AI at @anthropic-ai Christian Ryan, Applied AI at @anthropic-ai

Prompting for Agents

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Hannah Moran, Applied AI at @anthropic-ai Jeremy Hadfield, Applied AI Product Engineer at @anthropic-ai

Spotlight on Canva: Empowering the world to design with code

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Danny Wu, Head of AI Products at @canva

Spotlight on Databricks: Driving data intelligence with AI

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Craig Wiley, Sr. Director of Product for AI/ML at @Databricks

Spotlight on Manus

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Tao Zhang, Head of Product at Manus

Spotlight on Shopify

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Obie Fernandez, Principal Engineer at @shopify

Startup Innovation: How startups power new products with Claude

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Jordan Garcia, Head of AI Engineering, Gamma App Dhruv Amin, Co-Founder and CEO, Create Amar Goel, Co-Founder and CEO, Bito Kevin Michael, Co-Founder and CEO, Tempo Labs Andrew Filev, Founder & CEO, Zencoder Hayk Martiros, Co-Founder and CTO, Riffusion

Student Innovation: How students build with Claude

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Isobel Porteus, Student, Stanford Mason Arditi, Student, UC Berkeley Rohil Agarwal, Student, UC Berkeley Daniel Gao, Student, USC

Real Talk: ChatGPT Study Mode

Leah Belsky on how AI is transforming education — the OpenAI Podcast Ep. 4

AI is redefining how we learn — from personalized tutoring to entirely new teaching models. OpenAI’s Head of Education, Leah Belsky, joins host Andrew Mayne to discuss what this shift means for students, educators, and society. Special guests include college students Yabsera and Alaap, who share their perspectives on learning in the AI era. 00:22 – Leah’s path to OpenAI & the moonshot 01:40 – ChatGPT as a global learning platform—countries lean in 03:50 – Universities: equal access, trust, and adoption 05:12 – From AI detectors to better policy and practice 06:50 – Study Mode explained 09:51 – AI as a tutor that builds confidence 11:35 – Workforce skills graduates need 14:15 – The great brain rot debate 18:00 – A personal learning anecdote 19:30 – Meet the students 21:30 – First experiences with AI 25:25 – How professors are adapting 29:28 – Trying Study Mode 33:20 – ChatGPT vs. social media 41:43 – Cheating, challenges, and advice for students 49:24 – The future of learning with AI

Introducing ChatGPT Study Mode

Introducing study mode in ChatGPT — a learning experience that helps you work through problems step-by-step instead of just getting an answer. Built in collaboration with educators and experts, study mode is our first step toward improving learning in ChatGPT.

Building Jarvis: MCP and the future of AI with Kent C Dodds

Kent C. Dodds is back with bold ideas and a game-changing vision for the future of AI and web development. In this episode, we dive into the Model Context Protocol (MCP), the power behind Epic AI Pro, and how developers can start building Jarvis-like assistants today. From replacing websites with MCP servers to reimagining voice interfaces and AI security, Kent lays out the roadmap for what's next, and why it matters right now. Don’t miss this fast-paced conversation about the tools and tech reshaping everything.

923: Getting the Most Out of AI Coding

この記事では、AIコーディングツール（Cursor、Claude、ChatGPT、Windsurf）を活用して高品質な結果を得るための戦略が紹介されています。具体的には、効果的なプロンプトの作成や再利用可能なルールセットの構築など、AIを生産的なコーディングパートナーにするための実践的なヒントが提供されています。特に、XMLタグを使用して特定のアイテムを明確にし、既存のコードベースに基づいてルールを作成することが推奨されています。また、ルールファイルの保存場所や、llm.txtファイルの活用、エラーログのフィードバックなども重要なポイントとして挙げられています。 • AIコーディングツールを使って高品質な結果を得るための戦略を紹介 • 効果的なプロンプトの作成方法を解説 • XMLタグを使用して特定のアイテムを明確にすることが推奨される • CursorルールやCopilotルールの利用が提案されている • 既存のコードベースに基づいてルールを作成する方法が説明されている • ルールファイルの保存場所やllm.txtファイルの活用について言及 • エラーログをAIにフィードバックすることの重要性が強調されている

5 More ChatGPT Prompts to Add to Your Collection

921: AI Coding Roadmap for Newbies (And Skeptics)

この記事では、AIを使ったコーディングの方法について、初心者や懐疑的な開発者向けに解説しています。具体的には、Ghost TextやCLIエージェントを利用したインターフェースの構築、AIを活用したアプリの開発方法、埋め込みや関数呼び出し、マルチモデルワークフローの実装について触れています。また、既存のチャットアプリやプロンプトの活用、ストリーミングと非ストリーミングの違い、MCPサーバーの利用方法についても説明されています。最後に、AIと連携するためのnpmライブラリやSDKの紹介も行われています。 • AIを使ったコーディングの方法を初心者向けに解説 • Ghost TextやCLIエージェントを利用したインターフェースの構築 • AIを活用したアプリの開発方法について説明 • 埋め込みや関数呼び出し、マルチモデルワークフローの実装 • 既存のチャットアプリやプロンプトの活用方法を紹介 • ストリーミングと非ストリーミングの違いについて触れる • MCPサーバーの利用方法を解説 • AIと連携するためのnpmライブラリやSDKの紹介

ChatGPT ‘Day In My Future Life’ Trend

Have you tried it yet? 🎥: Angelica Georges

Say hello to ChatGPT agent.

ChatGPT can now do work for you using its own computer—from booking appointments and dinner reservations to building slideshows and reports—so you can focus on what really matters. Rolling out to Plus, Pro, and Team users.

ChatGPT agent Does Research & Action

ChatGPT agent Customization

ChatGPT agent can be customized based on your connectors to make smarter decisions and take better actions on your behalf.

ChatGPT agent Makes Spreadsheets

ChatGPT agent can fetch the data, generate the spreadsheet, and schedule it to run again—automatically.

ChatGPT can Research & Action on Tasks

ChatGPT agent can browse the web, book appointments, and make purchases like you would—searching, scrolling, and clicking.

ChatGPT agent Makes Slideshows

ChatGPT agent is your one-stop shop for fully editable presentations.

Claude for Financial Services Keynote

Visit https://anthropic.com/solutions/financial-services to learn more about Claude's finance-specific capabilities. Hear directly from Anthropic executives and industry leaders at Claude for Financial Services, where Anthropic leadership and senior financial executives discussed the future of AI in the financial services industry on July 15, 2025 in New York City, USA.

Introduction to ChatGPT agent

Begins at 10am PT Join Sam Altman, Casey Chu, Isa Fulford, Yash Kumar, and Zhiqing Sun as they introduce our unified agentic model in ChatGPT.

Here's how to make these in ChatGPT

1. Upload a picture of yourself/subject using the ✚ button in ChatGPT. 2. Ask chat for: ➡️ A black and white close-up portrait with visible water droplets and small bubbles on the face like the subject just emerged from water. The mood should feel intense and cinematic, with a dark, minimal background.

Claude Connectors

Claude now connects to your favorite tools with one click. Browse and connect to Canva, Figma, Notion, Stripe, and more. Now Claude can see your projects, understand your deadlines, and work directly in your tools.

What's an AI Agent?

What can you expect from AI agents? OpenAI COO Brad Lightcap explains on episode 3 of the OpenAI Podcast—out now.

Brad Lightcap and Ronnie Chatterji on jobs, growth, and the AI economy — the OpenAI Podcast Ep. 3

The future of work is arriving faster than expected. In this episode, OpenAI COO Brad Lightcap and Chief Economist Ronnie Chatterji join Andrew Mayne to discuss the impacts of AI on software, science, small business, education, and jobs. 00:00 Intro 02:00 Birth of ChatGPT: from playground to product 06:15 AI’s impact on work & productivity 08:55 Supercharging science with AI 09:55 Small teams with big leverage 13:10 What sectors are next? 17:05 Defining AI agents 22:08 AI in emerging markets & agriculture 25:53 Return of the “Idea Guy” 28:20 Why EQ and soft skills matter 31:35 Education for the AI era 36:11 Partnering with Cal State & educators 39:14 From bans to buy-in in schools 42:00 Ronnie’s research: sectors, geography, communication 45:46 What should we tell our kids? 48:14 What history teaches us about disruption 52:04 Expanding participation in the economy 55:35 AI increases demand 59:19 Why OpenAI will grow after AGI 1:02:05 Favorite ChatGPT use cases

Discover tools that work with Claude

We launched a new directory of tools that connect directly to Claude. Connect Claude to Notion, Canva, Figma, Stripe, and more in one click. Claude can see your projects, understand your deadlines, and work directly in your tools.

It speaks!

Steps to access different voice options: 1️⃣ Tap the voice mode button (wave icon next to microphone) in the lower right. 2️⃣ Once voice mode opens up, click the voice selector in the upper right of the screen (it kind of looks like a filter icon and is the one on the very right). 3️⃣ Swipe through the different voices to find your favorite.

Affective Use of AI

We study Claude's performance on coding, reasoning, and knowledge tests. But we also research how people use Claude for emotional support and companionship. In this fireside chat, our team discusses our findings on how people are using Claude for emotional support, advice, and companionship. These insights directly inform our safeguards work—helping us build AI that's both helpful and safe.

OpenAI 🤝 @teamganassi

Congrats on an amazing IndyCar weekend for Alex Palou! 📸: Larry Chen

917: AI Tools You Should Know

この記事では、ホストのスコット・トリンスキーとウェス・ボスが、注目すべきAIツールを紹介しています。テキストから音声への変換ツールや自己ホスト型の画像生成ツールなど、彼らが使用しているツールや、投資する価値のあるツール、ワークフローを変えるツールについて詳しく解説しています。具体的には、LangFlow、Super Whisper、Whisper Flow、Dia、Claude、ChatGPT、Raycast、Cursor、Midjourneyなどのツールが取り上げられています。また、Comfy UIやAutomatic1111、Forge UIなどの自己ホスト型ツールについても言及されています。 • 注目すべきAIツールの紹介 • テキストから音声への変換ツールや画像生成ツールの解説 • 使用しているツールや投資する価値のあるツールの詳細 • ワークフローを変えるツールの紹介 • 自己ホスト型ツールの具体例

Create with Claude by describing what you want to make

With artifacts in Claude, you can turn your ideas into interactive experiences. No coding required—just describe what you want to create.

ChatGPT almost wasn't named ChatGPT

Head of ChatGPT Nick Turley talks about the days leading up to the launch of ChatGPT on episode 2 of the OpenAI Podcast. Watch the full episode here: https://www.youtube.com/watch?v=atXyXP3yYZ4

Inside ChatGPT, AI assistants, and building at OpenAI — the OpenAI Podcast Ep. 2

Why was OpenAI surprised by ChatGPT’s success? What does it really mean to “reason” in an AI system? And what’s next for agentic coding and multimodal assistants? OpenAI Head of ChatGPT Nick Turley and Chief Research Officer Mark Chen unpack it all in a conversation that pulls back the curtain on the making of OpenAI’s most iconic product. 00:00 Intro: Meet Nick Turley and Mark Chen 00:40 Origin of the name "ChatGPT" 03:50 ChatGPT’s viral takeoff 07:00 Internal debate before launch 9:40 Evolution of OpenAI’s launch approach 11:00 The sycophancy incident and RLHF 14:45 Balancing usefulness vs. neutrality in model behavior 20:00 Memory and the future of personalization 22:50 ImageGen’s breakthrough moment 29:00 Cultural shifts in safety and the freedom to explore 33:10 Code, Codex, and the rise of agentic programming 37:45 Coding with taste 41:45 Internal adoption of Codex 43:40 Skills that matter: curiosity, agency, adaptability 46:45 OpenAI’s “Do Things” culture 51:30 Adapting to an AI future 55:15 The opportunities ahead: healthcare, research 01:01:00 Async workflows and the superassistant 01:05:40 Favorite ChatGPT tips

915: $200mo Background Agents, CLI Tooling and “Max Mode”

この記事では、AIコーディングエージェントの最新ツールについて、特にバックグラウンドで動作し、複数のステップでコードを書く能力を持つツールに焦点を当てています。ホストのスコットとウェスは、CLIベースのプリミティブから完全なコパイロットまで、開発者ツールの次の波とそれらを効果的に使用するために必要なことを解説しています。具体的には、バックグラウンドエージェントに適したタスク、CLIツールの利用法、Claude Codeの価格設定、これらのツールを最大限に活用するためのアプローチについても触れています。 • AIコーディングエージェントが進化していること • バックグラウンドエージェントに適した具体的なタスクの例 • CLIツールの利用方法とその利点 • Claude Codeの月額料金は200ドルであること • これらのツールを効果的に活用するためのアプローチや戦略

A quick guide | How to search in ChatGPT

Turn ideas into interactive artifacts

Introducing a dedicated space to view artifacts in the Claude app, and the ability to embed AI capabilities directly into your creations—transforming artifacts into interactive, AI-powered apps.

Build a Claude-powered app

Artifacts turn anyone into an app creator—no coding needed. Just tell Claude your idea to instantly create shareable apps, tools, and games. Now developers can iterate faster on their AI apps without worrying about the complexity and cost of scaling for a growing audience.

UCLA student shares how he was using ChatGPT

If ChatGPT were your wingman…

🎥: @Under25

Gemini 2.5 with Logan Kilpatrick

Logan Kilpatrick from Google DeepMind talks about the latest developments in the Gemini 2.5 model family, including Gemini 2.5 Pro, Flash, and the newly introduced Flashlight. Logan also offers insight into AI development workflows, model performance, and the future of proactive AI assistants.

The real ways college students use ChatGPT

The real ways college students use ChatGPT

Sam Altman on AGI, GPT-5, and what’s next — the OpenAI Podcast Ep. 1

On the first episode of the OpenAI Podcast, Sam Altman joins host Andrew Mayne to talk about the future of AI: from GPT-5 and AGI to Project Stargate, new research workflows, and AI-powered parenting. 00:00 Welcome to the OpenAI Podcast 01:00 ChatGPT & parenthood 04:10 AGI, superintelligence & scientific progress 07:10 Operator, Deep Research & productivity 10:30 GPT-5 & how we name models 13:40 User privacy & NYT lawsuit 16:15 Will ChatGPT ever show ads? 20:30 Social media & user behavior 23:25 Project Stargate & why compute matters 31:30 Future progress & potential new AI devices 38:45 Final thoughts

Claude streamlines task management across your favorite tools

Claude turns a product requirements doc into into structured Asana tasks, automatically assigning them to the right team members and setting deadlines.

Claude Code turns your ideas into working prototypes

Claude Code autonomously handles complex development tasks, turning your ideas into working prototypes.

Claude for research: Creating an organized daily overview

Claude connects the dots between your emails, meetings, and the internet to help you work strategically.

The Model Context Protocol (MCP)

Theo Chu, David Soria Parra and Alex Albert dive into the Model Context Protocol (MCP), the standard that's changing how AI applications connect with external data and tools. Anthropic open-sourced MCP in November 2024. Learn more about MCP: https://modelcontextprotocol.io Read the initial announcement: https://anthropic.com/news/model-context-protocol 0:00 Introduction 0:35 MCP and core components 3:13 How it started 6:22 Launching MCP and reception 8:12 Making it open source 9:55 Current state 13:23 Tips for getting started 14:57 Favorite MCP servers 16:23 Claude 4 improvements 18:18 What's next

The creative process with AI

Designer Ryan Mather on the creative process with AI.

Lesson 11: Conclusion | AI Fluency: Framework & Foundations Course

This concluding video is part of Lesson 11 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It revisits the AI Fluency Framework and brings together the key concepts explored throughout the course. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 10: A closer look at Diligence | AI Fluency: Framework & Foundations Course

This video is part of Lesson 10 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Diligence: taking responsibility for what we do with AI and how we do it. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 8: A closer look at Discernment | AI Fluency: Framework & Foundations Course

This video is part of Lesson 8 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Discernment: accurately assessing the usefulness of Al outputs and behaviors.. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 7: Effective prompting techniques (Deep Dive) | AI Fluency: Framework & Foundations Course

This video is part of Deep Dive 2 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores practical skills for crafting effective prompts when working with AI assistants like Claude. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 6: A closer look at Description | AI Fluency: Framework & Foundations Course

This video is part of Lesson 6 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Description: effectively describing goals to prompt useful Al behaviors and outputs. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 4: A closer look at Delegation | AI Fluency: Framework & Foundations Course

This video is part of Lesson 4 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Delegation: setting goals and deciding whether, when and how to engage with Al. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 3B: Capabilities & limitations | AI Fluency: Framework & Foundations Course

This video is part of Deep Dive 1 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It examines what generative AI can and cannot do effectively at this point in time. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 3A: What is generative AI? (Deep Dive) | AI Fluency: Framework & Foundations Course

This video is part of Deep Dive 1 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It introduces the concept of generative AI, focusing on its ability to create new content rather than just analyzing what already exists. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 2B: The 4D Framework | AI Fluency: Framework & Foundations Course

This video is part of Lesson 2 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It introduces the four core competencies of AI fluency, or the "4Ds": Delegation, Description, Discernment, and Diligence. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Lesson 2A: Why do we need AI Fluency? | AI Fluency: Framework & Foundations Course

This video is part of Lesson 2 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores what it really means to be "fluent" with AI and why this matters. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!

Deploying AI: How businesses worldwide are succeeding with OpenAI

See how leading companies are using OpenAI in production and driving results across industries.

What was the last thing you ChatGPT'd?

🎥: @Under25

ChatGPT for Business Updates

Nate Gonzalez, Preeti Iyer, Neel Ajjarapu, Sondra Batbold, and Dibya Bhattacharjee introduce and demo several updates to ChatGPT business plans—including connectors to your company knowledge, custom connectors through MCP, record mode, and flexible pricing.

Sam & Jony introduce io

Building a family of AI products for everyone.

Codex CLI with codex-mini

Fouad Matin, Hyung Won Chung, and Anup Krishnamraju demo the latest updates to Codex CLI: Sign in with ChatGPT and a new model, codex-mini, optimized for low-latency code Q&A and editing.

Building faster with Codex

See how OpenAI engineer Nacho Soto can build faster with Codex, letting him start with pre-drafted PRs and kick off tasks from anywhere. Read more about Codex, a cloud-based software engineering agent, in our blog: http://openai.com/index/introducing-codex/

Fixing papercuts with Codex

See how OpenAI engineer Max Johnson can finally get to fixing papercuts, rather than letting them accumulate into tech debt. Read more about Codex, a cloud-based software engineering agent, in our blog: http://openai.com/index/introducing-codex/

On call with Codex

See how OpenAI engineer Calvin French-Owen uses Codex when he's on call to triage issues and prioritize bug fixes, to help him stay focused on product work. Read more about Codex, a cloud-based software engineering agent, in our blog: http://openai.com/index/introducing-codex/

A research preview of Codex in ChatGPT

Greg Brockman, Jerry Tworek, Joshua Ma, Hanson Wang, Thibault Sottiaux, Katy Shi, and Andrey Mishchenko introduce and demo Codex in ChatGPT.

Personalize ChatGPT with custom instructions

With custom instructions, ChatGPT becomes more relevant to your day-to-day. In this demo, we show how to personalize how ChatGPT responds, delivers work, and explains concepts. Ideal for teams that need consistency, speed, and high-quality outputs at scale. 🔗 Get started: OpenAI for Business [https://openai.com/business/] ❓FAQs: Help center [https://help.openai.com/en/articles/8096356]

Run faster code reviews with deep research for GitHub

ChatGPT's deep research integration with GitHub can run code reviews. This demo walks through how ChatGPT analyzes pull requests, identifies potential improvements, spots bugs, and suggests fixes in minutes. Built for software engineers, development teams, or product leads who want more efficient, and higher-quality code reviews. 🔗 Get started: OpenAI for Business [http://bit.ly/43exn7L] ❓ FAQs: Help center [https://help.openai.com/en/articles/11145903-connecting-github-to-chatgpt-deep-research]

Moms use ChatGPT for the first time #Shorts

We love our moms and our moms love ChatGPT. 🎥: The offspring of these great moms... (From TikTok) @easae__ @alextench @rheaelizza @blackgirlslikeanime @annaaab20 @clairewilliams411

Moms use ChatGPT for the first time #Shorts

We love our moms and our moms love ChatGPT. 🎥: The offspring of these great moms... (From TikTok) @easae__ @alextench @rheaelizza @blackgirlslikeanime @annaaab20 @clairewilliams411

Collaborate and write with GPT-4o

Explore how GPT‑4o makes writing and collaboration more natural. This demo shows how ChatGPT drafts, refines, and adjusts tone—enabling teams to create clear, professional content in less time. Built for marketing, comms, and strategy teams that rely on fast, effective writing. 🔗 Get started:OpenAI for Business [https://openai.com/business/] ❓ FAQs: Help center [https://help.openai.com/en/articles/9624314-model-release-notes]