AI Trainer

Overview

This page provides a ready-to-use prompt that you can copy and paste into your AI agent, chatbot, or LLM-powered assistant to train it to reference Keeper Endpoint Privilege Manager's official integrations documentation. Once provided, your AI agent will be able to answer questions about custom jobs, custom plugins, the HTTP reference API, and integration examples using accurate, up-to-date source material.

Who This Is For

This page is intended for:

  • Developers and IT administrators who use AI coding assistants (e.g., GitHub Copilot, Cursor, Claude, ChatGPT) and want accurate KEPM context when building integrations.

  • Teams that have deployed an internal AI agent or chatbot and want to ground it in KEPM's integrations documentation.

  • Anyone building automations, custom plugins, or custom jobs for KEPM who wants AI-assisted guidance backed by official documentation.

How to Use This Prompt

  1. Open your AI agent, assistant, or LLM interface.

  2. Start a new session or open your system prompt / context configuration.

  3. Copy the prompt below using the code block.

  4. Paste it at the beginning of your session or into your system prompt field.

  5. Your agent will now reference the listed documentation pages when answering questions about KEPM integrations.

Note: Some AI agents support persistent system prompts or memory — if yours does, adding this prompt there will apply it across all future sessions without needing to re-paste it each time.

Training Prompt

Copy and paste the following into your AI agent:

Tips for Best Results

  • Be specific in your questions. The more detail you provide (e.g., platform, job type, trigger mechanism), the more precisely your agent can match the right documentation source.

  • Ask the agent to cite its sources. The prompt above instructs the agent to do this automatically, but you can reinforce it by asking: "Which documentation page does this come from?"

  • Combine with web search if available. If your AI agent supports live web fetching, instruct it to fetch the URLs above directly for the most current content rather than relying solely on its training data.

  • Update this prompt as documentation evolves. If new integration pages are added to the KEPM docs, add their URLs to the sources list in the prompt above.

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