It would be extremely valuable for ClickUp AI Brain to allow web search capabilities regardless of which AI model is selected.

Currently, the ability to retrieve and reference information from the web appears to be limited to the "Max" model. As a result, users must choose between using their preferred AI model and accessing current information from the internet.

Many users select different models for specific strengths such as reasoning, writing style, speed, creativity, technical expertise, or cost efficiency. Restricting web access to a single model limits flexibility and can prevent users from leveraging the best model for a given task.

Example Use Cases:

Researching industry trends while using a preferred reasoning model

Gathering current market information while drafting a proposal

Referencing recent product updates or competitor activity

Creating content informed by current events and public information

Conducting research without needing to switch models

Benefits:

Provides a more consistent AI experience across models

Allows users to choose the best model for the task without sacrificing web access

Improves research quality and accuracy

Reduces the need to switch between models or external AI tools

Increases flexibility and user satisfaction

Strengthens ClickUp AI Brain as a centralized productivity and research platform

Ideal Functionality:

Web search available as a toggle regardless of selected AI model

Ability to enable or disable web access per prompt

Clear citation or source references when web content is used

Consistent user experience across supported AI models

Administrative controls for organizations that wish to limit web access

Today, users who require current information from the internet are often forced to use a specific model rather than the model best suited for their task. Enabling web access across all supported AI models would provide greater flexibility while delivering a more consistent and powerful AI experience.