How to Use ClickUp to Compare and Work With AI Tools
ClickUp can be your central workspace for comparing AI tools like OpenAI and DeepSeek, capturing your research, and turning insights into actionable tasks your team can execute.
The source comparison between OpenAI and DeepSeek at this ClickUp blog article highlights key differences in features, performance, and pricing. This how-to guide shows you how to organize that knowledge in a structured way so your team can make better AI decisions.
Why Use ClickUp to Manage AI Decisions
Before diving into steps, it helps to understand why a work management platform is ideal for handling technical AI comparisons and experiments.
- Centralize research notes, links, and screenshots.
- Compare OpenAI and DeepSeek models side by side.
- Track experiments and prompts in a repeatable way.
- Assign owners and due dates for AI evaluations.
- Document final decisions and rollout plans.
By structuring your evaluation using ClickUp, you avoid scattered docs and keep every stakeholder aligned on how AI will be used across your workflows.
Set Up a ClickUp Space for AI Evaluation
Start by creating a dedicated area where all AI-related work will live. This gives your team a single source of truth.
Create a ClickUp Space for AI Tools
- Create a new Space and name it something like “AI & Automation”.
- Choose folders that match your needs, for example:
- “AI Research & Comparisons”
- “Prompt Libraries”
- “Experiments & Tests”
- “Implementation Roadmap”
- Set permissions so product, engineering, marketing, and leadership can all access the Space.
This Space will become your control center for every decision involving OpenAI, DeepSeek, and future AI tools you may adopt.
Create a List for OpenAI vs DeepSeek in ClickUp
Within your AI research folder, create a List to mirror the structure of the OpenAI vs DeepSeek comparison.
- Name the List something like “OpenAI vs DeepSeek Evaluation”.
- Use views to organize information:
- List view for feature comparisons.
- Doc view for long-form notes.
- Board view for decision status (e.g., “Researching”, “Testing”, “Selected”).
- Add a custom color or icon so the List is easy to spot.
Build a Feature Comparison in ClickUp
The original comparison article highlights differences in models, pricing, and capabilities. Re-creating this inside ClickUp allows you to customize it for your organization.
Add Custom Fields in ClickUp for AI Features
Custom Fields let you turn the qualitative comparison from the article into structured data.
- Open your “OpenAI vs DeepSeek Evaluation” List.
- Add Custom Fields such as:
- Provider (OpenAI, DeepSeek)
- Model Name
- Primary Use Case (chat, coding, analysis, etc.)
- Latency (subjective rating or measured value)
- Pricing Tier
- Strengths (short summary)
- Limitations
- Use dropdown, text, and number fields so each item is easy to sort and filter.
By mapping the details from the blog comparison into Custom Fields, you can quickly filter by pricing, performance, or specific use cases.
Create Tasks in ClickUp for Each AI Model
Next, turn each model from the OpenAI vs DeepSeek comparison into a task.
- Create one task per model (for example, a task for each OpenAI and DeepSeek model you plan to evaluate).
- Assign the Provider Custom Field to distinguish tools.
- Fill in other Custom Fields based on your research from the comparison article.
- Attach links, code examples, or prompt snippets to each task.
This structure lets your team discuss individual models in ClickUp comments while still maintaining a holistic view of all options.
Document Pros and Cons in ClickUp Docs
The source article explains strengths and trade-offs for each AI provider. Use ClickUp Docs to adapt those insights to your specific needs.
Create a ClickUp Doc for OpenAI vs DeepSeek
- Within your AI Space, create a new Doc titled “OpenAI vs DeepSeek – Internal Evaluation”.
- Embed sections such as:
- Overview of each provider
- Model capabilities and ideal use cases
- Performance notes from your experiments
- Risk and compliance considerations
- Final recommendation
- Add a link at the top to the original comparison: OpenAI vs DeepSeek Blog Reference.
Using ClickUp Docs ensures your narrative explanation stays connected to the structured task data in the same workspace.
Link Docs and Tasks Inside ClickUp
To keep everything connected:
- Link your Doc from the List description for quick access.
- Mention specific tasks inside the Doc using task links.
- Add the Doc to relevant tasks as an attached resource.
This tight linking makes it easy for stakeholders to jump between high-level summaries and detailed experiment notes without losing context.
Plan and Track AI Experiments in ClickUp
Reading about OpenAI and DeepSeek is only half the job. You also need a repeatable way to test them.
Create a ClickUp Workflow for Experiments
- Create a new List named “AI Experiments”.
- Define statuses such as:
- Backlog
- Designing
- Running
- Reviewing
- Completed
- Add Custom Fields like:
- Model Under Test (link to the model task)
- Success Criteria
- Prompt Set
- Owner
Each experiment task in ClickUp can represent a scenario you want to test, such as customer support responses, code generation, or data analysis.
Standardize Prompts and Results in ClickUp
Consistency is critical when comparing AI tools.
- Create a Doc called “Experiment Template”.
- Include sections for:
- Objective
- Prompt set (identical across tools)
- Evaluation criteria
- Results for each provider
- Takeaways
- Attach this template Doc to every experiment task in ClickUp.
By running each scenario through both OpenAI and DeepSeek and logging your findings, you build a reliable decision framework instead of relying only on marketing claims.
Use ClickUp to Turn AI Decisions Into Action
Once you choose how to use OpenAI or DeepSeek, you need a plan to roll out the decision across teams.
Create an Implementation Roadmap in ClickUp
- Create a List named “AI Implementation Roadmap”.
- Break work into phases, such as:
- Phase 1: Pilot
- Phase 2: Limited Rollout
- Phase 3: Full Deployment
- For each phase, add tasks for:
- Integration work
- Documentation and training
- Security and compliance review
- Monitoring and feedback loops
Assign each task to the right owner and add due dates so your ClickUp workspace becomes the operational command center for adopting AI responsibly.
Monitor Progress With ClickUp Views
To keep leadership and stakeholders informed:
- Use Gantt view to visualize the timeline of your AI rollout.
- Use Board view to track the status of experiments and implementation tasks.
- Create Dashboards for high-level metrics such as number of completed experiments or time-to-decision.
These visualizations make it clear how insights from the OpenAI vs DeepSeek comparison are being translated into concrete business value.
Enhance Your Strategy Beyond ClickUp
For broader digital strategy and AI adoption best practices, you may also want specialized consulting. A resource like Consultevo can complement your internal workflows and help you align AI initiatives with business goals while ClickUp keeps execution organized.
Next Steps: Operationalize AI With ClickUp
Using a structured workspace, you can capture insights from comparisons like OpenAI vs DeepSeek, test them in a controlled way, and deploy the right AI solutions across your organization.
To recap your path forward:
- Set up a dedicated AI Space in ClickUp.
- Rebuild the feature comparison as tasks and Custom Fields.
- Use Docs to summarize pros, cons, and final recommendations.
- Track experiments in a consistent workflow.
- Turn AI decisions into a clear implementation roadmap.
By following these steps, ClickUp becomes the single, organized hub where your team researches AI tools, collaborates on experiments, and ships real-world solutions powered by the models that best fit your needs.
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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