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Using custom GPTs

By Jakub Antkiewicz

2026-04-11T08:41:16Z

Users attempting to access OpenAI's recently launched custom GPTs are encountering significant service disruptions, frequently getting stuck on a loading screen after passing a security verification step. The repeated message, "Waiting for openai.com to respond," indicates a failure at the application server level, not the initial network gateway. This widespread issue comes just as user engagement with the new GPT Store is intensifying, raising immediate questions about the platform's ability to handle the surge in demand.

The specific nature of the error suggests a bottleneck between OpenAI's front-end security and its core infrastructure. While users successfully pass initial checks, likely managed by a service like Cloudflare, the subsequent requests to OpenAI's own servers are timing out under the heavy load. This type of performance degradation is a common operational hurdle for technology platforms after launching a highly anticipated feature. It points not to a complete system crash, but rather to server capacity and request-handling limits being reached.

The service instability has direct implications for the nascent ecosystem forming around the GPT Store. For developers and early adopters, it highlights the platform's current reliability limits and the inherent risks of building on a new, rapidly scaling service. More broadly, recurring availability problems could temper user enthusiasm and create an opening for competing platforms to emphasize their own infrastructure stability as a competitive advantage in the market for customized AI agents.

The current access issues for custom GPTs are less a technical failure and more a clear signal of the immense operational challenge OpenAI faces in transitioning from a developer-centric API provider to a robust, mainstream consumer application platform.