OpenAI used DevDay to reposition ChatGPT as a place where work gets done. The company shipped tools that let teams run apps, automate workflows, and hand real tasks to agents inside one interface. This will compress time to value, reduce integration overhead, and put a single pane of glass in front of your data, your apps, and your people. Here’s a quick overview.
Agent Kit turns prompts into working processes. Teams can stand up agents that pull numbers from finance, update CRM records, prepare decks, file tickets, and send summaries to stakeholders. Agents can run unattended, keep state, and chain steps in sequence. The build experience looks familiar to anyone who has used Zapier, Make, or n8n. The difference is that reasoning, orchestration, and execution live in the same place your employees already use for chat.
Apps SDK brings third-party software into ChatGPT. Partners can render full experiences inside the conversation. A marketer can pull assets from Canva, check product data, get legal language, and publish a variant without tab-hopping. A sales manager can review pipeline, ask for cohort breakdowns, and trigger follow-ups without leaving the thread. Conversation becomes the front end for your stack.
OpenAI also upgraded Codex and exposed APIs for Sora 2 and GPT-5. Engineering leaders get faster code generation and better agent scaffolding. Creative teams get text-to-video, richer storyboards, and faster iteration on campaign assets. Operations teams get a cleaner way to wire AI into systems that already run the business.
OpenAI is on their way to building a comprehensive AI Operating System. This is a very big deal. Take the time to go deeper into what was announced and what it means in the context of your AI operational deployment.
Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.