How to Use ClickUp With AI Image Tools

ClickUp can be the central hub for planning, tracking, and organizing everything you create with AI image tools like Midjourney and DALL·E. This how-to guide walks you through a complete workflow for building prompts, managing image requests, and collaborating with your team from one streamlined workspace.

We will focus on a practical setup so your creative and marketing teams can compare AI image generators, track experiments, and store final assets without losing context.

Why Pair AI Image Tools With ClickUp

Modern AI image platforms, such as Midjourney and DALL·E, offer powerful generation features but lack robust project management. That is where ClickUp steps in as a single source of truth.

Using ClickUp to manage AI imagery helps you:

• Standardize prompt structures for consistent results
• Track which tool (Midjourney or DALL·E) delivers better outputs
• Collaborate with writers, designers, and stakeholders
• Store links and references for future reuse

For detailed background on how these AI tools compare, you can review the original analysis of Midjourney vs. DALL·E on the ClickUp blog.

Step 1: Set Up a ClickUp Space for AI Images

Begin by dedicating a workspace area to manage all AI image operations. This ensures everyone knows where to find active requests and final outputs.

1. Create a new Space named something like “AI Imagery & Design”.

2. Add Folders to separate initiatives, such as “Marketing Campaigns”, “Product Visuals”, or “Blog Illustrations”.

3. Within each Folder, create Lists for specific channels or projects (e.g., “Website Banners”, “Social Posts”, “Educational Guides”).

This structure keeps every AI-generated asset logically connected to the campaign or content it supports.

Step 2: Build a ClickUp Task Template for Prompts

To keep prompts consistent across tools, create a reusable task template in ClickUp. Each task will represent one image request or a set of closely related variations.

Suggested ClickUp Fields for AI Prompts

Add custom fields to capture the most important prompt details:

• Tool (Dropdown): Midjourney, DALL·E, or other platforms
• Prompt Version (Number or Text): Track iterations
• Style (Dropdown): Photorealistic, illustration, flat design, 3D, etc.
• Aspect Ratio (Text): Such as 16:9, 1:1, 9:16
• Usage (Dropdown): Blog, ad creative, landing page, email, social
• Owner (User): Who is responsible for generating the images
• Status (Custom statuses): Idea, In Prompting, In Review, Approved, Archived

Within the task description, include standard sections like:

• Objective: What the image must communicate
• Primary Prompt: The main text you feed into the AI tool
• Negative Prompt: Unwanted elements to exclude
• Reference Links: Brand guidelines, mood boards, or sample images

Save this as a template so new requests can be created quickly and consistently in ClickUp.

Step 3: Organize Midjourney and DALL·E Experiments in ClickUp

Once your basic structure is ready, you can start logging experiments and comparisons between the image tools inside ClickUp.

How to Track Midjourney Tests in ClickUp

1. Create a List called “Midjourney Experiments”.

2. For each new concept, create a task from your AI prompt template.

3. Paste the final prompts, command parameters, and key settings (such as style or quality) into the task description.

4. Attach image outputs or link to hosted images so teammates can review.

Use custom views (Board, Table, or List view) in ClickUp to group tasks by style, campaign, or status. This makes it easy to see which tests moved from idea to approved artwork.

How to Track DALL·E Tests in ClickUp

1. Create a separate List titled “DALL·E Experiments”.

2. Use the same template as Midjourney so comparisons stay apples-to-apples.

3. Include details like the version of the model, aspect ratio, and any seed settings.

4. Attach outputs or paste URLs for each generated image directly in the ClickUp task.

By standardizing both tools in the same workspace, ClickUp becomes the central comparison hub for image quality, consistency, and performance.

Step 4: Build a ClickUp Review and Approval Workflow

Next, establish a fast but reliable review flow so stakeholders can approve or request changes on AI-generated graphics.

Create Clear ClickUp Statuses

Within your Lists, customize statuses to mirror the real life cycle of an image:

• Briefed
• Prompting
• Internal Review
• Stakeholder Review
• Approved
• Implemented

Team members can then drag-and-drop tasks across a Board view in ClickUp to signal progress.

Use Comments and Proofing Inside ClickUp

To tighten feedback loops:

• Upload or link images as task attachments.
• Use comments to specify revisions (e.g., “Reduce background clutter” or “Match brand color #123456”).
• Mention teammates with @ to bring the right reviewers into the conversation.
• Log each change request as a checklist item inside the ClickUp task.

This keeps all feedback attached to the correct prompt, with a full history of decisions.

Step 5: Store Final Assets and Documentation in ClickUp

After an AI image is approved, you want a reliable system so your team can find and reuse assets quickly.

Use a ClickUp List as a Visual Library

1. Create a List named “Approved AI Assets”.

2. For each final image, create or convert a task into an asset record.

3. Attach the final high-resolution file or link to your asset storage system.

4. Fill in fields such as campaign, channel, tool used, and date approved.

You can build Gallery or Board views in ClickUp to scan visuals at a glance and filter them by use case or style.

Document Learnings and Best Practices in ClickUp Docs

In addition to tasks, maintain a living knowledge base using ClickUp Docs:

• Record which prompts consistently perform well.
• Note any quirks of Midjourney and DALL·E discovered during your tests.
• Document brand and compliance guidelines for AI imagery.
• Capture internal playbooks for scaling AI-assisted creative production.

Docs can be linked directly to tasks, keeping process guidance close to active work.

Step 6: Report on AI Image Performance With ClickUp

Once images go live, you will want to understand which visuals perform best. While analytics may live in external tools, ClickUp can still centralize summaries and decisions.

• Create custom fields to log metrics such as CTR, conversions, or engagement.
• Update those metrics on each asset task after a campaign finishes.
• Use Dashboards in ClickUp to display charts or tables summarizing effectiveness by tool, style, or campaign.

Over time, your team develops data-driven guidelines that inform which prompts and generators to prioritize.

Additional Resources Beyond ClickUp

To deepen your understanding of optimization and workflows, you can explore implementation partners and strategy resources such as Consultevo, which focus on systems and process improvements.

For more detail about how the AI image services themselves work, be sure to revisit the in-depth comparison on the ClickUp blog about Midjourney vs. DALL·E. You can use those insights to refine your own workspace configuration.

Start Your AI Image Workflow in ClickUp

By designing a clear process for prompts, experiments, approvals, and asset storage, your team can use ClickUp to manage AI image generation with structure and confidence. Instead of scattered prompts and files, you gain a centralized, searchable system that connects strategy, execution, and performance in one place.

Need Help With ClickUp?

If you want expert help building, automating, or scaling your ClickUp workspace, work with ConsultEvo — trusted ClickUp Solution Partners.

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