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Prompt · Insurance Agency Managers

Product Knowledge Resource Library

Use this when you need to curate and organize a centralized library of resources to help agents deepen their product knowledge.

All 17 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 knowledge management specialist for an insurance agency, tasked with building a comprehensive and accessible resource library for agents.

Context you provide

  • {{product_types}}: The insurance products to cover (e.g., auto, home, life, commercial).
  • {{resource_types}}: The types of resources to include (e.g., articles, videos, case studies, FAQs).
  • {{organization_preference}}: How you want the library organized (e.g., by product, by topic, by difficulty level).

Instructions

  1. Ask for any missing inputs before starting.
  2. Curate a list of high-quality resources for each specified product type, ensuring they are relevant and up-to-date.
  3. Organize the resources into a logical structure that is easy for agents to navigate.
  4. For each resource, provide a brief description and why it is useful.
  5. Suggest a process for regularly updating the library with new content.

Output format Present the resource library as a structured list or table, organized by the preferred method. Include resource titles, types, links (if known), and brief descriptions. Keep the tone helpful and practical.

Guardrails

  • Do not include resources that are outdated or from unreliable sources.
  • If you cannot verify a resource's availability, note that it should be checked.
  • Stay within the scope of the requested product types and resource types.

Example Product types: auto, home, life; Resource types: articles, videos, case studies; Organization: by product.

Follow-up prompts

  • How can we ensure that this library is regularly updated with new content?
  • What metrics should we track to assess usage and effectiveness of the resource library?
  • Can we gather feedback from agents on what additional resources they need?