A weekend outage forced Notion to disable Anthropic models briefly, prompting swift fixes and public statements from both companies. The incident raises questions about AI infrastructure resilience.

Over the weekend, Notion experienced integration issues with Anthropic that affected users’ access to Notion AI through the use of Anthropic models.

According to official company information, Anthropic’s Opus 4.7 and 4.8 models were operating at reduced performance levels, leading to more outages for users who selected these models.

As a result, Notion announced the disabling of using all Anthropic models in Notion AI within its automated productivity tool.

After twelve hours, Notion’s Head of Product Max Schoening wrote that he was “surprised” by the number of people reposting this information, as they want to see the story about model quality as the reason.

“Anthropic’s Opus 4.7 and 4.8 models have reduced performance levels, leading to a higher rate of errors among users who choose these models in Notion AI.”

– Notion

Restoring Access and Official Positions of the Parties

In subsequent statements, Notion assured that the temporary performance drop was a service disruption, and announced the restoration of access to Anthropic models.

“The degradation in performance was a temporary service disruption.”

– Max Schoening

Later, Notion clarified that it had restored access to the Anthropic models. Anthropic stated that a short-term infrastructure problem caused elevated errors on several Claude models, and it has been resolved. They thanked users for their patience during the service recovery.

“A short infrastructure issue caused elevated errors on several Claude models for a short period of time. The issue has been resolved. We thank our users for their patience during the service recovery.”

– An Anthropic spokesperson

Subsequently, both sides confirmed the full restoration of access, and Notion reported that the service is operating stably. The event shows how temporary technical glitches can affect users, but a rapid response helps minimize the impact on performance and the operation of AI tools.

In fact, after service restoration, both companies emphasized the importance of reliable infrastructure for users, as well as quick resolution of technical issues as key to minimizing the impact on Notion AI’s operation and related AI tools.