How to Use ClickUp DeepSeek AI Agents

ClickUp DeepSeek AI Agents help you research, analyze, and generate content faster by combining advanced reasoning with the work you already manage in your workspace.

This guide walks you through how to access the feature, create and customize agents, and use them safely in your day-to-day workflow.

What Are ClickUp DeepSeek AI Agents?

DeepSeek AI Agents are specialized assistants inside the platform that automate multi-step work, including research, analysis, and content creation. They are powered by the DeepSeek R1 reasoning model and enhanced with workspace context.

Instead of prompting a generic chatbot, you build tailored agents that know your processes and repeatable tasks. Each agent can follow instructions, reference saved data, and return structured outputs you can immediately use.

Key Benefits of ClickUp DeepSeek AI

Using these agents inside your workspace offers several advantages over standalone tools:

• Faster research: Summarize articles, compare sources, and generate insights in a single workflow.
• Consistent outputs: Standardize briefs, reports, and documentation with reusable instructions.
• Embedded context: Connect agents with your projects, docs, and tasks for relevant, up-to-date responses.
• Secure collaboration: Keep prompts, data, and results inside your existing workspace permissions.

How to Access DeepSeek in ClickUp

Accessing DeepSeek AI Agents is straightforward from within your workspace. The exact entry point may vary slightly by layout, but the general flow is:

1. Sign in to your workspace with the account that has AI features enabled.
2. Open the AI hub, toolbar, or panel from the main navigation or from a doc, task, or view.
3. Look for the DeepSeek or AI Agents section inside the AI interface.
4. Select the option to create, browse, or manage existing agents.

From here you can start building your first agent or customize templates provided in the interface. For the most current access paths, refer to the feature overview on the official page at ClickUp DeepSeek AI Agents.

Plan Your First ClickUp AI Agent

Before configuring an agent, define a narrow, repeatable problem it should solve. The more specific the role, the better the performance.

Common Use Cases for ClickUp Agents

• Creating blog post briefs and outlines from topic ideas.
• Summarizing large research documents and extracting key findings.
• Drafting release notes or change logs from task updates.
• Generating competitor comparisons based on structured inputs.
• Turning meeting notes into action items and follow-up emails.

Choose one of these or a similar workflow so your first agent has a clear purpose and easy success criteria.

Define Your Agent’s Role and Output

Clarify what the agent should do every time it runs:

• Goal: Describe the primary outcome, such as “produce a structured blog brief” or “summarize this report with key risks and recommendations.”
• Inputs: Decide what the agent will receive, for example a topic description, a URL, or a list of tasks.
• Outputs: Choose the format: bullet list, sections with headings, table-style data, or a narrative summary.

Having this defined upfront makes configuration much faster and ensures predictable results.

How to Create a DeepSeek Agent in ClickUp

Once you know what you want the agent to do, set it up inside the AI interface.

Step 1: Start a New Agent

1. Open the AI or DeepSeek section from your workspace navigation.
2. Click the option to Create new agent (or similar label in the interface).
3. Give the agent a clear, action‑oriented name, such as “Content Brief Builder” or “Research Summarizer.”

A descriptive name makes it easier for you and your team to find and reuse the agent later.

Step 2: Configure Agent Instructions

In the configuration panel, you’ll see fields where you define how the agent should behave. Use concise, step‑by‑step instructions so the model can reason through complex tasks.

• Describe the user types the agent will support, such as marketers, product managers, or analysts.
• Explain the steps the agent should follow each time it runs, from reading inputs to formatting final output.
• Include quality guardrails, like reading content twice, checking for contradictions, or flagging missing information.
• Specify tone and style, for example “clear, concise, and professional language” or “detailed, technical explanations.”

Because the system uses the DeepSeek R1 reasoning model, detailed reasoning steps will typically improve accuracy and reduce hallucinations.

Step 3: Set Inputs and Context

Next, define what information your agent will accept and which workspace elements it can reference.

• Inputs: Choose fields such as free‑text prompts, links, or doc references.
• Context: Allow the agent to read from selected docs, knowledge bases, or project spaces where appropriate.
• Constraints: Limit access to sensitive folders or projects according to your workspace permissions.

Align context with how your team structures information so the agent can retrieve relevant, trusted data.

Running Your ClickUp DeepSeek Agent

With configuration in place, you’re ready to run your agent on real work.

Step 4: Provide a Clear Prompt

Each time you use the agent, provide focused instructions and necessary inputs. Good prompts include:

• The objective of this specific run.
• Links or text the agent should analyze.
• Any special constraints, like word count or audience type.

For example: “Using the attached research doc, create a 700‑word blog outline targeting product managers, with three main sections and bullet point key takeaways.”

Step 5: Review and Refine the Output

After the agent finishes its reasoning and returns results:

1. Scan the output for accuracy, clarity, and completeness.
2. Compare insights against your source material, especially for data‑heavy tasks.
3. Ask the agent follow‑up questions or request revisions, such as reorganizing sections or simplifying language.
4. Save strong examples so you can refine the base instructions if needed.

Over time, iterative improvements to agent instructions will create more reliable, on‑brand results.

Security and Governance for ClickUp AI

When using AI on real company data, apply the same governance principles you use for any other tool.

• Respect workspace permissions so agents only read content users are allowed to access.
• Avoid pasting highly sensitive information unless your policies explicitly allow it.
• Document which agents exist, who owns them, and the scenarios they are approved for.

If you manage a larger team, consider creating standardized agents for common workflows and restricting modification rights to specific owners.

Optimizing Your Workflow Beyond ClickUp

To complement what you configure inside the platform, you can explore external strategy resources. For example, Consultevo offers guidance on process optimization and implementation that can help you design better AI‑driven workflows before you encode them into agents.

Learn More About ClickUp DeepSeek AI

As features evolve, new capabilities and interface changes may appear. For the latest details on DeepSeek AI Agents, supported use cases, and technical notes, review the official feature page at ClickUp DeepSeek AI Agents overview.

By starting with a single focused workflow, clearly defining instructions, and iterating based on real outputs, you can turn DeepSeek AI Agents into dependable teammates that streamline research, analysis, and content creation across your workspace.