AI usage

I run LLMs locally to understand how they work and how I can best leverage it for my clients and users.

Here’s how I’ve used AI:

  • Created custom prompts for things like my home network, resume reviews, technical writer assistant, and more.
  • Created a Python script that prompted users to fill in the required fields for the homepage template.
  • Ran multiple LLMs locally through LM Studio (mostly from the Qwen3 family).
  • Replaced GitHub Copilot in VS Code with local LLMs using the Cline extension.
  • Developed my portfolio website using Google Bard/Gemini, Claude, GitHub Copilot, and local LLMs.
  • Locally hosted SearXNG anonymous search engine in a Docker container and added it as an MCP server so local LLMs can access the internet.

Related work

Webinar: Vibe Coding Your Career: Ed Marsh on Job Searching & Portfolio Development

Kinetic Council, 2026

Webinar: Vibe Coding Your Career: Ed Marsh on Job Searching & Portfolio Development

Kinetic Council, 2026

So, you want to be a technical writer?

Tech Write Pro India, 2025

So, you want to be a technical writer?

Tech Write Pro India, 2025

Webinar: So, you want to be a technical writer?

Content Wrangler webcast, 2024

Webinar: So, you want to be a technical writer?

Content Wrangler webcast, 2024

Tools used

    GitHub Copilot

    Open-source

    GitHub Copilot

    Open-source

    GPT4All

    Open-source

    GPT4All

    Open-source

    LM Studio local AI LLM

    Open-source

    LM Studio local AI LLM

    Open-source

    Ollama AI

    Open-source

    Ollama AI

    Open-source

    Ollama AI server

    Ollama

    Ollama AI server

    Ollama

    Qwen3 large language model family

    Alibaba

    Qwen3 large language model family

    Alibaba

    SearXNG search MCP server

    SearXNG

    SearXNG search MCP server

    SearXNG