Notion restores Anthropic access after service disruption

Notion’s integration with Anthropic apparently experienced a service disruption. Early Sunday morning, the productivity software company posted an update regarding the performance of its AI-powered features. According to Notion, Anthropic’s Opus 4.7 and 4.8 models were experiencing degraded performance, which was causing a higher rate of failures for users selecting these models in Notion AI. As a result of these performance issues, Notion announced that it was disabling the use of all Anthropic models within its automated productivity tool.

Twelve hours after the initial disruption, Notion’s head of product, Max Schoening, commented on the public reaction to the service outage. Schoening stated that he was astonished by the number of people reposting the announcement on X because they wanted a story around model quality to be the reason for the disruption. According to public statistics on the X platform, Notion’s original post about the degraded performance had been reposted around 1,200 times.

Schoening pushed back against speculation regarding model quality, clarifying that the issue was a temporary service disruption. Max Schoening, the head of product at Notion, stated: “The degraded performance was a temporary service disruption. This happens. It happens to Notion, GitHub, AWS, your OpenClaw, and everything in between.” Following the resolution of the issue, Schoening confirmed that Notion had restored access to Anthropic’s models.

Anthropic also provided clarification regarding the root cause of the disruption. An Anthropic spokesperson stated that a brief infrastructure issue caused elevated errors on multiple Claude models for a short period of time. The spokesperson confirmed that the issue has since been resolved and expressed gratitude to users for their patience while the company worked to restore service.

Why it matters

Notion temporarily disabled its integration with Anthropic due to degraded model performance, highlighting the dependencies of productivity tools on third-party AI infrastructure.