Using AI with TelemetryOS

TelemetryOS blends product and documentation features to help technical teams move faster with AI assistance while staying accurate and secure. This comprehensive AI integration rests on four foundational pillars that work together seamlessly to enhance your development workflow.

The first pillar centers around Ask AI, which embeds contextual help and code examples directly within the documentation. This interactive feature transforms static documentation into a dynamic assistant that provides real-time support as you work through implementation details.

Supporting this interactive experience is the MCP server, the second pillar that serves as a structured bridge between AI tools and your documentation and APIs. This server provides AI assistants with real-time access to the most current information, ensuring responses remain accurate and up-to-date.

The third pillar involves the LLMs.txt guidance file, which helps AI assistants navigate documentation consistently and systematically. This guidance system reduces response drift and ensures that AI-generated answers remain aligned with your actual documentation structure and content.

The fourth pillar encompasses optional image generation tools that enable you to create on-brand visuals directly within your workflow. These tools support both prompt-based generation and template-driven approaches to visual content creation.

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Use these capabilities together: Ask AI leverages the MCP server and LLMs.txt to ground answers in the latest documentation.

Where to go next

To explore Ask AI functionality, learn how to get contextual explanations and examples directly inside the docs. The MCP Server section covers connecting editors like Cursor/Windsurf or Claude Desktop to a TelemetryOS MCP endpoint. Understanding LLMs.txt reveals how AI tools receive guidance to interpret and navigate the documentation effectively. For visual content needs, the Generating Images section demonstrates creating visuals for screens using AI prompts or templates.