Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure". This AI agent will be built step by step using Python, Vertex AI, Gemini and OSQuery.
Inspired by the "computer" in Star Trek, in this talk we are going to create a natural language diagnostic agent that can answer questions about your computer, from asking the number of cores and amount of memory installed to running a "Level 1 Diagnostic Procedure".
Hands-on workshop on building and deploying applications with the latest Gemini 2.x models, covering multimodal capabilities, tool use, and best practices for developer workflows.
ai & development
ai
python
tutorial
rag
gemini
adk
Learn how to make your AI agent completely offline. We walk through swapping the cloud model for a local Qwen 2.5 via Ollama, and building a local RAG knowledge base using SQLite and sqlite-rag to query Osquery schemas and packs.
ai & development
genai
tutorial
adk
gemini
python
fastapi
frontend
agent
Elevate your Google ADK agent with a custom, retro-style interface. This step-by-step guide shows you how to replace the standard Dev-UI using FastAPI and vanilla JavaScript, adding personality with a real-time streaming, AI-generated avatar.
ai & development
adk
gemini
vertex-ai
python
rag
tutorial
This article is a guide to creating a diagnostic agent with the Agent Development Kit (ADK). It covers the development process and explains how to use Vertex AI RAG to improve the agent’s response quality.
Based on my keynote at Gophercon UK 2025, this article is an introduction to the Model Context Protocol (MCP), exploring its core concepts, architecture, and the building blocks — Tools, Prompts, and Resources — used to create AI-enabled applications with Go.
