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Prompts

The Prompts page in AI Studio allows you to manage reusable blocks of text that guide your AI Agents. Prompts are essential for shaping an agentโ€™s knowledge, behavior, and responses. They can act as knowledge bases, role definitions, or scenario-specific instructions.

Prompts page

๐Ÿ“‘ Page Layoutโ€‹

  • List of Prompts โ€“ Displays all created prompts with their Title and Preview (shortened content).
  • Actions Menu โ€“ Each prompt has a menu with options to edit or delete.
  • + Prompt โ€“ Opens a modal for creating a new prompt.

โœจ Creating & Editing Promptsโ€‹

Both creating and editing prompts use the same form. When you click + Prompt or Edit, you will see a simple editor with the following fields:

Create Prompt Modal

๐Ÿท๏ธ Titleโ€‹

  • A unique name for the prompt.
  • Helps identify its purpose (e.g., Customer Support Guidelines, Medical Knowledgebase).

๐Ÿ“ Contentโ€‹

  • The text or knowledge that defines the prompt.
  • Can be a role description, knowledge dump, or scenario-specific instruction.
  • Supports large plain text to act as knowledge containers.

Example: You are a friendly virtual trainer. Always explain safety rules before giving cooking instructions.


๐Ÿ”„ Updating Promptsโ€‹

Edit Prompt Modal

When editing, you can:

  • Rename the prompt title.
  • Update its content to refine behavior.
  • Save changes immediatelyโ€”updates apply to any agent using this prompt.

๐Ÿ—‘๏ธ Deleting Promptsโ€‹

Click the Delete option in the action menu to remove a prompt.

  • A confirmation dialog will appear before deletion.
  • Deleting a prompt will break references in agents that use itโ€”ensure you reassign a new prompt if needed.

โœ… Best Practices for Promptsโ€‹

  • โœ๏ธ Keep prompts modular โ€“ Split large knowledge into smaller reusable prompts.
  • ๐Ÿ”„ Reuse where possible โ€“ Avoid duplicating the same content across agents.
  • ๐ŸŽฏ Be specific โ€“ Clear, targeted prompts yield better agent responses.
  • โšก Update carefully โ€“ Remember, editing a prompt affects all agents that use it.
  • ๐Ÿงช Test iteratively โ€“ Try prompts with agents and refine wording for optimal results.

๐Ÿ’ก Business Caseโ€‹

Business case โ€” Consistent Agent Behavior

Imagine you are building a VR training program with multiple agents across different projects:

  • A Safety Instructor agent.
  • A Kitchen Trainer agent.
  • A Customer Interaction agent.

Instead of writing instructions separately for each agent, you can create a single โ€œCommon Knowledgebaseโ€ prompt with shared safety and company rules. All agents reference the same prompt, ensuring consistency and making updates easy.

Benefits

  • Centralized updates (fix once, apply everywhere).
  • Reusable across projects and scenarios.
  • Keeps agents aligned with organizational standards.