# AI - [Running LLMs Locally](https://www.techwithtyler.dev/ai/running-llms-locally.md): How to run LLMs locally - [Choosing Models Based on Hardware](https://www.techwithtyler.dev/ai/running-llms-locally/choosing-models-based-on-hardware.md): Calculator for identifying LLMs that can be run locally - [LM Studio](https://www.techwithtyler.dev/ai/running-llms-locally/lm-studio.md): How to run LLMs locally with LM Studio - [Ollama](https://www.techwithtyler.dev/ai/running-llms-locally/ollama.md): How to run LLMs locally with Ollama - [Claude Code with Local LLM](https://www.techwithtyler.dev/ai/running-llms-locally/claude-code-with-local-llm.md): How to configure Claude Code with a local LLM - [Model Context Protocol (MCP)](https://www.techwithtyler.dev/ai/model-context-protocol-mcp.md): How to setup and use MCP servers - [AWS Terraform MCP Server](https://www.techwithtyler.dev/ai/model-context-protocol-mcp/aws-terraform-mcp-server.md): How to setup AWS's Terraform MCP Server - [Claude Code](https://www.techwithtyler.dev/ai/claude-code.md): Everything related to Claude Code --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://www.techwithtyler.dev/ai.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.