Content by lee_stott (28)
Lee_Stott walks through what Azure Developer CLI (azd) is, why it’s useful for beginners, and how the AZD for Beginners learning path helps you move from local code to a repeatable Azure deployment workflow with templates, infrastructure as code, and lifecycle cleanup.
Lee_Stott walks through building a fully offline, on-device AI support agent using Microsoft Foundry Local and a Context-Augmented Generation (CAG) approach, including model auto-selection, SSE-based loading status, and a simple Node.js/Express architecture you can fork for your own domain.
Lee_Stott walks through building a fully offline, browser-based RAG support agent using Microsoft Foundry Local and the Foundry Local SDK, with a simple Node.js/Express backend, SQLite storage, and a TF-IDF retrieval pipeline that streams grounded answers (with sources) to desktop and mobile browsers.
Lee_Stott walks through building “Interview Doctor”, a 100% offline interview-prep assistant that runs locally using Microsoft Foundry Local plus a lightweight RAG pipeline backed by SQLite and TF‑IDF, with both a web UI and a CLI.
Lee_Stott explains what Microsoft Foundry Labs is and how developers can use it to evaluate early-stage Microsoft AI experiments—then move the promising ones into Azure AI Foundry with better evaluation, tracing, monitoring, and governance discipline.
Lee_Stott explains why containerizing AI agents is often the fastest path from a laptop prototype to a production-ready service, using Azure Container Apps and a real multi-agent code verification example (Opustest) to show Docker, IaC, scaling, and deployment with azd.
Lee_Stott walks through building an offline, on-device AI robotics simulator using Foundry Local and the Microsoft Agent Framework, where an LLM produces structured JSON plans that are validated for safety and executed in PyBullet—no cloud subscription, API keys, or internet required.
Lee_Stott explores how to build On-Call Copilot, an AI-driven, multi-agent incident triage and reporting solution using Microsoft Agent Framework, Foundry Hosted Agents, Model Router, and Azure OpenAI—detailing the technical patterns, code, and deployment steps for practical DevOps engineers.
Lee_Stott demonstrates how the Microsoft Foundry Model Router autonomously selects Azure OpenAI models to optimise costs and performance, sharing a hands-on demo, benchmark results, and practical setup guidance.
Lee_Stott demonstrates how to build a privacy-centric hybrid AI client briefing assistant using Microsoft Foundry Local and Azure OpenAI, offering step-by-step guidance for developers concerned with sensitive data and performance.
Lee_Stott explains how to build a fully on-premises AI-powered asset monitoring system for manufacturing using Microsoft Foundry Local, Node.js, and JavaScript. This guide emphasizes technical strategy and practical deployment.
Lee Stott demonstrates how to build a HIPAA-compliant medical transcription app using Microsoft Foundry Local, OpenAI Whisper, and ASP.NET Core. His guide emphasizes privacy-first design and practical AI development for real healthcare environments.
Lee Stott walks you through building a smart building HVAC digital twin using AI-powered copilots, combining physics-based simulation and 3D visualization with Microsoft Foundry Local for advanced facilities management.
Lee Stott shares how gamification and Foundry Local can empower developers to learn AI through an interactive, multi-level educational platform. The article demonstrates technical architecture and learning design that make AI concepts tangible.
Lee Stott explains how to enhance browser games with AI-powered dynamic commentary using Microsoft Foundry Local. The post details a JavaScript-based architecture for adding real-time, context-aware feedback to games.
Lee Stott presents a practical walkthrough for developers on scientifically benchmarking local AI models using Microsoft Foundry Local, FLPerformance, and modern JavaScript frameworks. The article guides you from architecture to results interpretation.
Lee_Stott introduces AI Dev Days 2025, a major virtual event for AI and Microsoft platform developers, featuring sessions on Azure, GitHub Copilot, DevOps, and hands-on labs.
Lee_Stott presents a comprehensive overview of agentic AI and how Microsoft Foundry empowers developers to create advanced autonomous agents, including platform features, real-world applications, and step-by-step getting started advice.
Lee_Stott presents the public preview of the AI Toolkit for Visual Studio Code, unveiling prompt-first agent development powered by GitHub Copilot and Microsoft Agent Framework, designed for fast and seamless AI agent creation in VS Code.
Lee_Stott delivers an in-depth guide for developers and AI engineers on deploying LLMs locally with Microsoft's Foundry Local, highlighting solutions for privacy, cost, and performance.