Feature Requests

Currently the only way to disable AI is through ClickApps via Admin. This disables it for the entire team. I just want to remove this garbage from my own personal profile without impacting anyone else's workflow.

The video recordings generated by AI Notetaker are consistently blurry/low resolution, even after waiting for transcoding to complete. When reviewing meeting recordings to revisit screen shares, presentations, or demos, the quality makes it difficult to read on-screen text or see details clearly. It would be great to have an option for higher definition video recordings (720p or 1080p) so the playback is actually useful for reviewing visual content shared during calls.

Is it possible to create a word or pdf template, and set to ClickUp AI extract each data from attached word form to each custom field, setting by me? For example... I say to ClickUp AI that I have a template form document in word. And everytime I attach a new filled word form (that is the template document), the ClickUp AI extract the email field to custom field "email", and extract the address field to custom field "Address", etc. I came up with this possibility while testing your feature of telling ClickUp AI (Custom Field) what specific information I want to extract from the task description for my AI custom field, which by the way, is INCREDIBLE! CONGRATULATIONS! This would be a game changing :)

Creating a company-wide AI system prompt can significantly enhance various functions and capabilities within an organization. Here are some potential areas that such a system prompt could control or advance: Brand Voice and Tone Establish a consistent brand voice across all communications. Define language style, formality level, and emotional tone. Naming Conventions Set guidelines for naming products, services, and internal projects. Ensure alignment with brand identity and values. Content Generation Automate the creation of marketing materials, reports, and internal documents. Ensure all generated content adheres to the established voice and tone. Customer Interaction Standardize responses for customer service inquiries. Create templates for emails, chat responses, and social media interactions. Training and Onboarding Develop training materials that reflect the company voice. Provide new employees with guidelines on communication style and branding. Internal Communication Streamline internal memos, announcements, and newsletters. Promote a unified communication strategy within teams. Feedback and Improvement Collect and analyze feedback on communication effectiveness. Adapt guidelines based on employee and customer responses. Compliance and Legal Standards Ensure all communications adhere to legal and compliance standards. Provide templates that meet regulatory requirements. Cultural Alignment Reflect company values and culture in all written communications. Foster a sense of community and shared purpose through language. AI Customization Tailor AI responses to align with company-specific terminology and phrases. Allow for adjustments based on evolving company needs and market changes. By implementing a comprehensive AI system prompt, companies can enhance their communication strategies, improve brand consistency, and foster a cohesive organizational culture.

Don't like the new sound that goes with AI. The old one was much better, this one is jarring. Or better yet, let us choose a sound that we'd want for notifications. :)

Problem: The current AI Usage dashboard provides a high-level overview but lacks the necessary granularity for effective resource management. Currently, while Super Agents have a clear breakdown, other high-consumption features like Autopilot Agents, AI Cards, AI Fields, and AI Tasks only show aggregate costs. Furthermore, the dashboard prioritizes monetary value (USD) over the actual credit count, and lacks historical month-over-month reporting for trial/bonus pools. Proposed Solution: I suggest a comprehensive update to the AI Usage interface to include: Dual Metric Visibility: Display "Credits Consumed" alongside "Monetary Cost (USD)" as standard columns. Relying on tooltips (hovering) makes it difficult to compare usage across different workflows quickly. Granular Breakdown for All AI Features: Extend the "Super Agent" level of detail to Autopilot Agents, AI Fields, and AI Cards. We need to see: Which specific Agent/Automation triggered the usage. The location (List/Folder/Space) of the trigger. The User/Member responsible for the action. Historical Data & Period Filtering: Ability to filter usage by previous months or custom date ranges. Currently, the breakdown resets on the 1st of each month, making it impossible to audit past consumption patterns once the month ends. Audit Log Integration: A dedicated "AI Audit Log" or better filtering in the existing Automation Audit Log to specifically isolate AI-related consumption events. Why this is important: As a decision-maker, I cannot confidently purchase additional AI Credit packs or add-ons without understanding exactly how our current credits are being spent. Clear visibility is the bridge between a "trial" and a "paid" commitment. Better governance tools will help teams optimize their workflows and scale their AI usage responsibly.

When Brain is processing a request, the input is locked until the response completes. If I realize mid-generation that I forgot context, want to redirect the approach, or need to clarify something, I have to wait for the full response, then correct course in a follow-up, which wastes both my time and the context window. Requested behavior: Let me send a new message while Brain is actively generating. The new message should be treated as real-time steering input (additional context, a correction, or a redirect) that Brain incorporates into its current response or gracefully pivots from. Why it matters: Thinking evolves faster than responses generate. By the time Brain finishes, I've already spotted the gap. Longer multi-tool responses (task creation, research, bulk updates) take 30-60+ seconds. That's a lot of dead time when I already know it needs a course correction. Current workaround is stopping generation and re-prompting from scratch, which loses all progress. Example use cases: Brain starts creating a task in the wrong list; I want to say "actually put that in X" before it finishes I forgot to mention a constraint and can see Brain heading down the wrong path I want to add "also do Y" while it's still working on X

I’d love the ability for ClickUp Docs to directly trigger automations and AI Agents. Specifically, when a meeting notes/transcript Doc is created (ideally from a specific template or in a specific location), I want my AI Agent to automatically run on that Doc and create follow‑up tasks in my Meeting To-Do’s list—no manual DM, @mention, or intake task required. Right now I can only approximate this with hourly schedules and manual triggers, which means follow-ups lag behind the end of the meeting. Doc-based triggers and/or tighter scheduling (e.g., every 10–15 minutes) would make AI-powered meeting workflows feel much more real-time and seamless.

Right now brain can access Google Drive, but it can't create Google Docs, just Clickup docs. Please give it permission to create Google Docs.

I would like to submit a feature request regarding AI Notetaker. Currently, automatic scheduling only activates the Personal Notetaker. I would like the option to set the Workspace Notetaker as the default for all meetings. This would allow a single Notetaker to join each meeting and automatically make the notes available to everyone in the Workspace. It would also prevent multiple Personal Notetakers from joining the same meeting and using additional Notetaker minutes. Please consider adding a Workspace-level setting that allows administrators to select the default Notetaker type and automatically enable it for all meetings.