Creating and Managing AI Prompts

AI Prompts define how Membrain’s AI generates content, what information it uses, and how it communicates. By structuring prompts effectively, you can ensure that AI-generated output is relevant, consistent, and aligned with your sales approach.

This article explains how to access, create, and configure AI Prompts so they fit your workflow and use case.

Accessing your AI Prompts

AI Prompts can be managed from System Setup. The list view shows all existing prompts in your system and provides tools for filtering, sorting, and organizing them. You can filter by availability (such as active or archived), visibility, or creator. You can also group and sort the list based on different properties.

To search for a specific prompt, use the search bar in the top right corner or press F on your keyboard. You’ll also see an option to manage prompt categories, which can help organize your prompts by purpose, team, or function.

To create a new prompt, click the New button in the top right.

AI Prompts can also be accessed from the Templates section in My Settings. This provides a centralized place to view and manage Snippets, Email Templates, and AI Prompts you have access to. Prompts that you can edit appear as clickable links and open directly in the prompt editor. You can also create new AI Prompts from this view using the + New option. 

Creating a New AI Prompt

When creating a new prompt, start with a clear Name so it's easy to identify later. Next to the name, you can assign it to an existing Prompt Category, or create a new one if you have the appropriate permissions. Categories help keep prompts organized, especially as the number of available prompts grows.

The Available To setting determines who can view or edit the prompt. You can limit access to yourself, specific users, teams, permission groups, or open it to everyone. This ensures that prompts are only visible to the people who need them.

Once these settings are defined, you can begin building the prompt itself.

Building a Prompt

AI Prompts are built using a structured set of components. This allows you to separate what the AI should do from the data it should use, giving you more control over how the final output is generated.

At the core of every prompt is the Instructions component. This is required and forms the foundation of the prompt. It defines what the AI should generate or accomplish. Within this component, you can insert dynamic properties to personalize the output, such as project context, company details, stakeholders, or messaging elements like value proposition, ideal customer profile, sales methodology, and tone of voice. These properties make the output more relevant and aligned with your sales approach.

In more advanced scenarios, you can include multiple instruction components to structure the prompt in stages. This allows you to break down more complex use cases into manageable parts. 

Adding Data to the Prompt

Below the Instructions component, you can add additional components to control what data is passed to the AI. This is done through the Add Component button, where you can select from several types of structured inputs. Review the list below to see more information on each component that can be included in a prompt. 

• Process Information provides high-level context about the project, such as the project type, process name, current stage, and key dates. This helps the AI understand where the project is in the workflow and generate more context-aware responses.

• Fields allow you to include field values from the project. By default, all custom fields are included, but you can limit the selection to specific fields if needed. You can also define a maximum value age to ensure that only recent and relevant data is used.

• Stakeholders include information such as name, title, role, influence, and notes. This is useful when the AI needs to reflect stakeholder dynamics or tailor communication accordingly.

• Activities provide access to historical interactions within the project, such as meetings, notes, calls, or tasks. You can choose specific activity types and define how far back the AI should look, helping you focus on relevant activity data.

• Messaging Center allows you to include structured messaging elements such as value proposition, ideal customer profile, sales methodology, and tone of voice. This ensures that AI-generated content stays aligned with your organization’s messaging.

• Content Hub enables the AI to reference content from content rooms and content cards, adding additional context and supporting material to the output.

• Sub Prompts allow you to reuse another AI Prompt as part of your current prompt. This is useful for building more advanced and modular prompt structures, where one prompt can contribute structured input to another.

• Web Search allows the AI to include external information when generating a response. If you need the AI to focus on specific sources or regions, this should be specified in your instructions. Only one Web Search component can be added to a prompt.

Controlling Execution Order

The order of components determines how the AI processes information. Components are executed from top to bottom, and you can rearrange them by dragging and dropping each component into position.

This gives you control over how context is introduced. For example, if Process Information is placed above the Instructions component, that context is provided to the AI before it generates a response. If it is placed below, the instructions will run without that context first. Adjusting this order allows you to fine-tune how the AI interprets and uses the available data.

Where Prompts Can Be Used

Once your prompt is created, you can define where it should be available in the platform. Membrain AI Prompts can be enabled for several use cases, depending on your needs:

• Text Editing: Makes the prompt available in activity notes and other text fields.

• Email Composer: Allows users to use the prompt when drafting emails.

• Ask AI: The prompt becomes available inside Ask AI within a Project. This allows users to run the prompt on demand using the current project’s context and included data.

• Project Summary: Enables the prompt to generate summaries of project progress.

• Automations: Makes the prompt available in AI Prompt Steps and Autofill Automations.

If you’re setting up AI Autofill specifically, refer to the AI Autofill Automation article for more detailed guidance.

Copying an AI Prompt

You can copy existing AI Prompts to quickly create variations without starting from scratch. To do this, right-click a prompt from the AI Prompts list in System Setup or from the Templates section in My Settings, then select Copy.

The copied prompt opens immediately in edit mode as an unsaved draft and retains the original components, categories, permissions, and availability settings. This makes it easy to reuse existing prompt structures while tailoring them for different teams, workflows, or use cases.

Best Practices for Writing Effective Prompts

A well-written AI Prompt produces better, more relevant output. While Membrain AI will do its best with any prompt, the following tips can help you get more consistent, high-quality results.

• Be clear and specific.
  Start with what you want the AI to do. If you're asking it to write a message, summarize information, or identify key details, state that directly in the prompt. Vague instructions often lead to vague results.
• Include context where needed.
  Mention the audience, tone, or format if those are important. For example, instead of saying “Write a follow-up,” try “Write a concise follow-up email to a decision-maker after a first meeting, using a professional and friendly tone.”
• Avoid overloading the prompt.
  While it's tempting to include as much detail as possible, too much information can confuse the output. Include only the data that’s relevant to the prompt’s purpose.
• Use personalizations thoughtfully.
  Properties like contact name, company, or recent activity help the AI tailor responses. But make sure they add value to the result. Irrelevant personalizations can make the prompt less effective.
• Specify the desired outcome.
  Clearly describe what a successful result looks like. If you need bullet points, a short paragraph, a summary under 150 words, or action-oriented recommendations, state that directly. Defining the expected structure and level of detail helps the AI deliver output that requires less editing and better fits your intended use.
• Test and refine.
  If a prompt isn’t producing the results you want, tweak the wording or reduce the complexity. A small adjustment can significantly improve output quality.

Final Notes

AI Prompts allow you to customize how Membrain AI behaves and communicates across your sales process. By carefully selecting the data to include and configuring prompt settings, you ensure that AI-generated content is both relevant and on-brand.

If you're unsure how best to structure a prompt or decide what information to include, reach out to your Membrain administrator or contact our support team at support@membrain.com.