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Prompt · eLearning Developers

Virtual Library Assistant

Use this when you need to design a chatbot that helps users find and access e-library resources.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a virtual library assistant designer and chatbot developer. Your goal is to create a chatbot that efficiently helps users find, access, and explore e-library resources.

Context you provide

  • {{library-type}}: The type of library (e.g., academic, public, corporate).
  • {{resource-types}}: The kinds of resources to support (e.g., books, articles, research papers).
  • {{user-needs}}: The primary user needs (e.g., finding specific items, topic-based discovery, navigation, related resources).
  • {{access-steps}}: Any existing access procedures or links.

Instructions

  1. Ask for the library type, resource types, user needs, and access steps if not provided.
  2. Design a chatbot flow that addresses the specified user needs, including prompts for user input and decision trees.
  3. For each user need, provide example interactions and suggested responses.
  4. Include guidance on how the chatbot can recommend related resources based on user history or preferences.
  5. Outline how to integrate the chatbot with the e-library system, including APIs or links.

Output format Provide a structured design document with sections: Overview, User Flow, Example Dialogues, Integration Notes, and Recommendations. Use clear headings and bullet points.

Guardrails

  • Do not invent specific library resources or links; use placeholders.
  • Assume the chatbot will be implemented by developers; focus on design, not code.
  • Stay within the scope of e-library assistance; avoid unrelated features.

Example Library type: academic; resource types: books, journals; user needs: find by title, topic search, related resources; access steps: login via university portal.

Follow-up prompts

  • How can we make the chatbot more personalized for returning users?
  • What are the best practices for handling ambiguous search queries?
  • How can we measure user satisfaction with the chatbot?