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OpenAI expands ChatGPT’s plug-ins with app-like interfaces and automations

OpenAI is overhauling ChatGPT plugins with persistent interfaces and automation, moving beyond simple chat bubbles toward a full-blown operating system for AI agents.

Originally on TechCrunch AI →
AB

Adrian Boysel

Contributor

Sep 29, 2026

5 min read

Photo illustration / STKR News

OpenAI is pivoting again. If you have been following the saga of ChatGPT plugins, you know it has been a rocky road. First, they were the next big thing, then they were supposedly dying in favor of GPTs, and now they are being resurrected with a much more ambitious scope. The latest update introduces dedicated sidebars, interactive panels, and automation features that suggest OpenAI is no longer content being just a chatbot. They want to be the dashboard for your entire workflow.

Moving Beyond the Chat Bubble

For a long time, the biggest limitation of building on top of LLMs has been the interface. We have been stuck in this narrow window of back-and-forth text. While that is great for brainstorming or quick coding fixes, it is a terrible way to manage complex data or multi-step projects. OpenAI’s decision to add dedicated sidebar homes and interactive panels is a direct response to this friction. It is a sign that they realize the chat interface is starting to get crowded.

For builders, this is a significant shift. Instead of your tool being buried three levels deep in a menu, it can now live alongside the conversation. Imagine a data visualization tool that does not just spit out a static image, but opens a persistent panel where you can filter results in real-time without typing a new prompt. This moves the platform away from a purely conversational paradigm and closer to a traditional software environment.

The Automation Layer

The addition of support for automations is where things get interesting for the founder community. We have seen various attempts at "agentic" behavior over the last year, mostly through third-party hacks or complex API chains. By bringing automation directly into the plugin ecosystem, OpenAI is trying to capture that value natively. They are essentially building a version of Zapier that lives inside your chat window.

This is a double-edged sword. On one hand, it lowers the barrier to entry for creating useful tools. You no longer need to build a complex frontend to give users a functional experience. On the other hand, it creates more platform risk. If your entire business model is based on an automation plugin that OpenAI can easily replicate or sherlock in the next update, you are in a precarious position.

Improved Discovery and the App Store Problem

One of the biggest complaints from early plugin developers was that nobody could find their tools. The original plugin store was a mess—unorganized, hard to search, and filled with low-quality wrappers. The new update promises improved discovery, which is a necessary step if they want to keep developers engaged. However, we should be skeptical. We have seen this play out with the mobile App Store and various browser extension marketplaces. Discovery usually favors the big players who have the marketing budget to drive initial traffic.

If you are a founder building a niche tool, you should not rely on OpenAI’s discovery algorithm to save you. You still need to own the relationship with your user. The plugin should be a distribution channel, not your entire product.

The File Viewer and Data Persistence

Another technical hurdle that this update addresses is how we handle files. The new file viewer suggests that OpenAI wants ChatGPT to be a place where you actually work on documents, not just talk about them. This is a clear shot at the productivity suites of Google and Microsoft. If I can open a PDF, have a plugin analyze it in a sidebar, and then automate the summary into a spreadsheet without leaving the tab, the gravity of ChatGPT as a workspace increases significantly.

For those of us in the crypto and AI space, this looks like a move toward a decentralized desktop. But instead of running on your local machine, it is running in the cloud, governed by a single entity. It is a powerful vision, but it is one that requires a high level of trust in OpenAI’s stability and their commitment to the developer ecosystem.

The Founder Perspective: Build or Wait?

Whenever a platform makes a major leap like this, the immediate reaction is to rush in and build. But we have to look at the history here. OpenAI has a habit of moving fast and breaking things—including their own developer relations. The transition from Plugins to GPTs and now to this new hybrid model has left many builders feeling whiplashed.

My advice to founders is to look at these new interactive panels as a way to prototype user experiences quickly. Do not put all your chips on the ChatGPT sidebar. Use it to prove that users want your specific flavor of AI automation, but keep your core logic and your data portable. The moment you become too integrated into their specific UI framework, you lose your leverage.

The goal for any builder in this space should be to provide value that exists independent of the interface. OpenAI provides the eyes and ears, but you need to provide the brain.

The Skeptical Take

We need to be honest about why this expansion is happening now. Competition is heating up. Anthropic’s Claude has been winning over power users with its "Artifacts" feature, which provides a similar side-by-side workspace. OpenAI’s update is, in many ways, a defensive play to ensure they don't lose the developer mindshare to a more flexible interface. It is less about innovation for the sake of it and more about maintaining their position as the default starting point for AI interaction.

Furthermore, the more "app-like" ChatGPT becomes, the more it will struggle with the weight of its own complexity. Adding sidebars, panels, and automations makes the product more powerful, but it also makes it harder to use for the average person. There is a fine line between a versatile tool and a cluttered mess. OpenAI is betting that they can manage that complexity, but it remains to be seen if users actually want their chatbot to become a full-blown OS.

What it Means for Builders

  • Interface Agnosticism: Don't get married to the sidebar. Design your workflows so they can work via API, chat, or a standalone web app.
  • Focus on Utility: The novelty of "AI in a box" is gone. These new features only matter if they help someone get a job done faster than a standard SaaS tool.
  • Watch the Latency: More complex interfaces and automations usually mean more lag. If your plugin is slow to load in the new panel, users will abandon it instantly.

Ultimately, this update is a validation that the purely conversational interface was a starting point, not the destination. We are moving toward a world where AI is the glue between different software components, and OpenAI is trying to be the container that holds it all together. For founders, the opportunity is there, but the risks of platform dependency have never been higher. Build with caution, and keep your own platform's goals front and center.


Read the original at TechCrunch AI →

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