How to Manage AI Image Projects in ClickUp

ClickUp can turn a messy AI image creation process into a repeatable, trackable workflow that keeps prompts, drafts, and approvals perfectly organized from idea to final asset.

This step-by-step guide shows you how to manage an AI artwork comparison project (like evaluating Leonardo AI vs. Midjourney) from planning to publishing using structured tasks, views, and documentation.

Step 1: Plan Your AI Image Project in ClickUp

Start by building a clear project space so every prompt, version, and decision is easy to find.

Create a dedicated ClickUp Space

1. Log in and create a new Space named something like AI Image Experiments.
2. Add a Folder for the specific project, for example Leonardo AI vs. Midjourney Tests.
3. Inside the Folder, create Lists for each major phase, such as Research, Prompt Library, and Asset Production.

This structure keeps each image workflow organized while still giving you a single place to manage everything.

Define goals and scope in ClickUp Docs

1. Create a Doc in your Space outlining the project goal: compare AI tools, test styles, and collect final assets.
2. Add sections for:

• Use cases (blog images, social content, thumbnails)
• Target styles (photorealistic, illustration, fantasy, branding)
• Success criteria (quality, speed, control over outputs, ease of use)

Link this Doc to your Lists so the team always knows the project direction.

Step 2: Build a Prompt Library in ClickUp

A structured prompt library saves time and keeps experiments consistent across multiple AI tools.

Set up a ClickUp List for prompts

1. Create a List named Prompt Library in your project Folder.
2. Use one task per prompt concept, for example:

• “Cinematic cyberpunk city at night”
• “Product mockup on minimal background”
• “Educational blog illustration with friendly characters”

This makes it easy to track how each prompt performs in different generators like those compared in the original article at this AI image tools breakdown.

Add custom fields in ClickUp for consistent tracking

For the Prompt Library List, add custom fields such as:

• AI Tool (dropdown: Leonardo, Midjourney, other tools)
• Style (illustration, photo, 3D, anime, logo, etc.)
• Use Case (blog, ad, thumbnail, social, website)
• Prompt Version (v1, v2, v3…)
• Output Rating (1–5 scale)

Each time you update a prompt or run a new experiment, you can quickly record how it performs without losing context.

Step 3: Design Test Workflows in ClickUp

Use task statuses and views to move each image idea from draft prompt to final approved asset.

Configure ClickUp statuses for image tasks

In the List where you run tests, set statuses like:

• To Test – ideas waiting for an image run
• In Progress – prompts currently being generated
• Review – outputs ready for feedback
• Revise Prompt – needs adjustment before another run
• Approved – final images selected

This gives you a visual pipeline from raw idea to publish-ready artwork.

Use ClickUp views to compare results

Within your AI testing List, add multiple views:

• Board view to drag tasks through the statuses above.
• Table view to compare custom fields such as AI Tool, Style, and Output Rating.
• Calendar view if you schedule content that depends on those images.

Attach image outputs to the relevant tasks so you can see prompt, version, and final selection in one place.

Step 4: Capture Detailed AI Image Notes in ClickUp

Each experiment benefits from clear notes about settings, strengths, and weaknesses across tools.

Document settings with ClickUp task descriptions

1. Open a prompt task in the Prompt Library List.
2. In the description, record:

• Exact prompt text
• Chosen AI model or mode
• Resolution and aspect ratio
• Special features used (like upscaling, style presets, or inpainting)

Having consistent documentation makes it easy to repeat successful runs or troubleshoot poor outputs.

Use ClickUp comments for visual feedback

When teammates review images, ask them to leave feedback in comments, such as:

• Clarity of details
• Brand alignment
• Legibility for UI or text overlays
• How it compares to results from another tool

Mention teammates and assign comments as action items so follow-up edits are clearly owned and tracked.

Step 5: Turn AI Experiments into Content in ClickUp

Once you have strong images and clear findings, use a content workflow to publish and repurpose your work.

Set up a ClickUp content List

1. Create a List named AI Content & Case Studies.
2. Use one task per asset, for example:

• “Blog: Leonardo AI vs. Midjourney comparison”
• “Social carousel: AI illustration styles”
• “Landing page banner tests”

Link each content task to its related image tasks in the Prompt Library and testing Lists.

Attach final assets and references in ClickUp

For each content task:

• Attach selected final images.
• Link back to any prompt tasks that produced the winning image.
• Embed relevant Docs that summarize your findings across tools.

This creates a complete record from original idea, through experiments, to final published results.

Step 6: Standardize AI Workflows with ClickUp Templates

After running several projects, you can save your best structures as reusable templates.

Create a reusable ClickUp project template

1. Choose a well-organized Folder that includes:

• Prompt Library List
• Testing List with statuses and views
• Content List
• Docs that describe goals and evaluation criteria

2. Convert the Folder into a template.
3. Name it something like AI Image Comparison Project.

Now you can spin up a new project quickly whenever you want to test another AI image generator or refine a style for a different campaign.

Step 7: Improve Your AI Systems with ClickUp Reporting

Use reporting features to understand which prompts and tools are delivering the best images.

Build dashboards in ClickUp

Create a dashboard that tracks:

• Number of prompts tested per tool
• Average Output Rating by AI Tool or Style
• Cycle time from To Test to Approved

This quantitative view helps you decide where to invest more effort and which workflows or tools produce reliable content for your brand.

Next Steps: Expand Your System Beyond ClickUp

Once your workflows are in place, you can connect them to broader content and SEO systems.

• Use ClickUp Docs as the single source of truth for prompt guidelines.
• Map your AI image tasks to content briefs and SEO outlines.
• Share structured processes with your wider marketing or product teams.

If you need help designing more advanced project structures or integrating additional tooling around your workspace, you can explore consulting resources such as Consultevo for strategy and implementation support.

By setting up clear Spaces, Lists, custom fields, and documentation, ClickUp becomes the control center for every AI image experiment, from initial idea and prompt testing to final, publish-ready visual assets.

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