By skyforbes 
When Sam Altman took the stage at OpenAI DevDay 2025 in San Francisco, the message was clear: ChatGPT is no longer just a chatbot. It’s becoming a platform — an ecosystem designed to host apps, power agents, and drive an entirely new category of AI-native experiences.
Over the past two years, ChatGPT has evolved from a simple conversational interface into the centerpiece of OpenAI’s growing platform strategy. But this year’s announcements mark something bigger: a shift toward turning chat itself into an operating system for the internet.
ChatGPT Apps SDK: Turning Chat Into a Platform
The biggest reveal of DevDay was the ChatGPT Apps SDK, a new toolkit that lets developers build interactive apps inside ChatGPT. As reported by The Verge, this move transforms ChatGPT from a simple conversational agent into a full ecosystem of interactive experiences.
Instead of leaving the chat to use external tools, users will soon be able to browse Spotify playlists, design in Canva, book hotels on Expedia, or take Coursera courses — all from within the chat interface.
OpenAI also unveiled an App Directory, a centralized hub for discovering and monetizing ChatGPT apps — a move that Wired described as reminiscent of Apple’s App Store circa 2008 but “built for the age of AI.”
At launch, partners like Spotify, Canva, Coursera, Booking.com, Zillow, and Figma were announced as early adopters. The implication is bold: ChatGPT isn’t just a productivity tool anymore. It’s a digital environment where AI can be both the medium and the interface.
AgentKit: The Age of “AI That Acts”
Complementing the SDK is AgentKit, a new suite of tools for building AI agents that don’t just answer — they act. AgentKit provides a structured framework for designing, deploying, and governing autonomous or semi-autonomous AI systems.
According to OpenAI’s official DevDay release, AgentKit introduces a visual builder, permissions system, and connector registry — all designed to make the next generation of AI agents both powerful and auditable.
Among the features:
- Agent Builder (beta): A visual canvas for mapping triggers, workflows, and guardrails.
- ChatKit: Tools to embed conversational agents into third-party apps.
- Connector Registry: A centralized way to manage integrations and data permissions.
AgentKit signals OpenAI’s intention to dominate not only the conversational layer of AI but the action layer — where models begin to make decisions, perform tasks, and coordinate across systems. It’s the next logical step after prompt engineering: behavior engineering.
GPT-5 Pro, Sora 2, and the Multi-Model Future
As expected, OpenAI unveiled several new models across its stack. The headline was GPT-5 Pro, a “high-reasoning” model built for deep analysis, synthesis, and planning. Alongside it came gpt-realtime-mini, a lightweight model optimized for instant voice and chat responses — reflecting a dual strategy: heavy models for depth, smaller ones for speed.
On the creative front, Sora 2 delivered major upgrades to OpenAI’s video generation engine, now capable of producing synchronized audio and smoother, more coherent video sequences. The demos, as covered by Wired, blurred the line between rendered and recorded footage.
These rollouts suggest a future where OpenAI’s models function more like a stack than a single brain — modular, interoperable, and tuned for context rather than uniformity.
Codex Evolves: From Assistant to Embedded Developer
Another major announcement was the evolution of Codex, OpenAI’s programming model. Now generally available, Codex can be integrated directly into developer environments and collaboration tools.
A new Slack integration lets engineers tag @Codex in team discussions, automatically returning relevant code suggestions or automation snippets. The SDK now includes TypeScript support and GitHub Actions embedding — letting teams fold AI assistance directly into their CI/CD pipelines.
As summarized by The Verge, OpenAI is moving beyond assistance into infrastructure — making Codex a built-in part of how developers actually work.
Commerce, Chips, and the Business of AI
Beyond models and tools, OpenAI made strategic announcements that hint at its long-term ambitions.
The company revealed an Agentic Commerce Protocol, allowing in-chat transactions like purchases and subscriptions — a foundation for an “AI-native app economy.”
Meanwhile, in a move that underscores the global hardware race, the Financial Times reported that OpenAI has entered a multi-billion-dollar partnership with AMD, acquiring up to a 10% stake to secure long-term compute capacity and reduce reliance on NVIDIA.
Together, these moves suggest that OpenAI isn’t just building products; it’s building the economic backbone of a new AI platform layer.
The Broader Picture: OpenAI’s Quiet OS Ambition
If last year was about proving AI’s utility, 2025 is about expanding its territory. Between the Apps SDK, AgentKit, and integrated commerce, OpenAI is constructing a full-stack ecosystem that positions ChatGPT as more than a product — as a platform, perhaps even an operating system for the AI-first web.
The parallels to early smartphone ecosystems are impossible to ignore. Apple’s App Store catalyzed the mobile economy; OpenAI seems poised to do the same for the agentic one.
But this evolution raises new questions. Who sets the rules for this app economy? How will transparency and safety be maintained when AI agents can act autonomously? And what does it mean when the chat itself becomes the marketplace?
For now, the momentum is undeniable. OpenAI isn’t just pushing forward the frontier of AI capabilities — it’s rewriting what an AI platform even means.
Editor’s Note:
This article is based on verified information and live coverage from Wired, The Verge, Business Insider, and The Financial Times, as well as OpenAI’s official announcements. Some product details and release timelines remain in preview and may evolve as OpenAI finalizes its rollouts following DevDay 2025.