Every minute your team spends switching between ChatGPT and the actual tool they need an answer from is a minute spent doing work that should not exist.
Tab-switching between AI and your tools is the new copy-paste hell
The specific pain here is context collapse: you ask ChatGPT something, get an answer, then manually carry that output into whichever app holds your real data. There is no live connection, no persistent state, and no way to act inside the tool without leaving the conversation.
ChatGPT is becoming a surface, not just a chatbot
Introducing apps in ChatGPT and the new Apps SDK gives developers a new SDK to build conversational apps that live natively inside the ChatGPT interface, so users interact with third-party products without leaving the chat window. You open ChatGPT, start a conversation, and the app responds with live data, actions, or outputs from its own backend. The input is plain language; the output is whatever the app is built to produce, whether that is a filed expense, a pulled CRM record, or a generated report.
Developers and power users feel this gap the sharpest
- Product managers who demo AI workflows to stakeholders and lose credibility every time they switch tabs mid-presentation
- Developers building internal tools who want a chat interface without rebuilding authentication, session handling, and UI from scratch
- Enterprise ops leads who need AI-assisted actions tied to live business data, not static training snapshots
The SDK is available in preview today, which means early builders set the defaults everyone else inherits.
OpenAI is betting the interface war is won at the app layer
Anthropic’s Claude and Google’s Gemini both offer API access and integrations, but neither has shipped a native in-chat app runtime with a dedicated SDK at this scale. If developers standardize on ChatGPT Apps the way they standardized on Slack integrations, the platform with the most conversational apps wins the daily active use fight regardless of model quality.
What you can build or do with it today
- Build a customer support app that pulls live ticket data inside ChatGPT
- Create an expense tool users file claims through by typing naturally
- Deploy an internal knowledge base your team queries without leaving chat
- Ship a scheduling app that reads calendar state and books in one turn
ChatGPT Apps SDK is available in preview now; production pricing has not been announced — check our directory for updates.
The honest tradeoff: you are building on OpenAI’s platform, which means your app’s distribution and availability depend entirely on their access policies and uptime.
If you want runtime flexibility, LangChain’s agent framework lets you build similar conversational tool integrations without locking into one chat surface. For teams already deep in Microsoft 365, Copilot Studio covers comparable ground with enterprise access controls already baked in.
The platform that owns the chat window is starting to own the app layer too
This is the kind of infrastructure shift that looks minor in week one and obvious in year two. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.