Lokale Modelle, Agenten und der praktische Einsatz von KI-Werkzeugen.
Migrating an MCP-based memory setup from a local workstation to a central server sounded simple at first: move the data, expose the MCP endpoint securely, and point the clients to the new URL. In practice, it was a valuable operational exercise. The migration touched Docker, systemd, Apache httpd, SELinux, DNS, TLS certificates, backup strategy, client…
Version upgrades often look deceptively simple on paper. Moving from 3.6 to 3.8 sounds like a minor step, maybe even routine maintenance. In practice, it became a useful reminder that even small platform upgrades deserve proper planning, clean execution, and a reliable rollback strategy. Our migration from 3.6 to 3.8 was not just about changing…
How we searched for a practical way to communicate with a locally hosted AI without exposing the workstation or sending confidential data through an unsuitable channel Running an AI model locally solves only part of the privacy problem. Our local AI stack already consisted of: The model itself ran entirely on the workstation. Prompts were…
Hermes Agent, Qwen3.6 27B, llama.cpp, Docker, Telegram, systemd, and a surprisingly educational firewall problem Running a large language model locally is no longer particularly unusual. Running one as a reliable, always-available agent on a production workstation is a different challenge entirely. Our goal was not simply to launch a model and open a chat window….
A practical, code-heavy guide to building specialized Copilot agents for real-world development workflows Introduction Visual Studio 2026 pushes GitHub Copilot beyond simple chat assistance and into a more agentic workflow. In addition to agent mode, Visual Studio now supports built-in specialized agents and custom agents that you can define in your repository using .agent.md files….
Running local LLMs is easy right up until you want them to do something useful. That was the core lesson from our OpenClaw journey. On paper, the setup sounded straightforward: run a local model through Ollama, connect it to OpenClaw, use Telegram as the chat surface, and let the agent manage recurring tasks like weather…
Introduction In this post, we cover the full end-to-end workflow for running a local Ollama LLM to assist with SQL Server 2022 query and stored procedure optimization. This workflow includes GPU acceleration, persistent containers, and an interactive prompt, using Arch Linux as the host system. Why Local Ollama? We assume a high-end workstation: Step 1:…
Introduction In 2025, running a capable large language model (LLM) locally is no longer reserved for data centers or specialized AI servers. With modern tooling and an NVIDIA RTX 3080 (or better), you can host and interact with a powerful local LLM right from your Arch Linux workstation. In this guide, we’ll go step-by-step through:…
Deep Dive into the software developement future Introduction The software development landscape is undergoing a profound transformation. With the rise of powerful AI models, autonomous agents, and ever-evolving development platforms, the traditional image of a software engineer hunched over a keyboard, writing every line of code by hand, is rapidly shifting. Instead, we are entering…
Introduction With the rise of AI copilots and agents, there’s a growing demand for tools that allow developers and domain experts to build autonomous systems quickly and effectively. Copilot Studio, part of the Microsoft Power Platform, allows you to create, extend, and customize AI copilots—AI agents capable of decision-making, interacting with users, and executing workflows….
Introduction In our previous post, we created a meeting scheduler using Microsoft’s Copilot Studio. Today, we’ll go beyond the basics and look at three more powerful autonomous agents that interact with external APIs, reason across multi-step workflows, and manage user preferences through memory and conditions. ⚡ Agent 1: IT Helpdesk Troubleshooter 🛠 Purpose: Diagnoses basic…
Introduction As autonomous agents evolve, they need intelligence, context, and rich interfaces. In this post, you’ll learn how to: Each section includes Power Fx, plugin payloads, and Power Automate usage. ✨ 1. Data Enrichment with OpenAI (GPT) 📌 Use Case: Your copilot gets an ambiguous user question like: “What could be the business impact if…
In today’s AI-powered software landscape, developers increasingly want to run LLMs (Large Language Models) locally for privacy, performance, and offline capabilities. With .NET 9, Microsoft continues to enhance its ecosystem, making integration with local AI models more streamlined. In this blog post, we’ll walk through how to run an LLM locally (using models like LLaMA,…
Introduction Prerequisites Initializing the FoundryClient This gives access to multiple sub-clients—Agents, Inference, OpenAI, Datasets, Indexes, etc. (learn.microsoft.com) 1️⃣ Use Case #1: Intelligent Chatbot Leverages IChatClient to power a chat interface. Setup Chat Loop Example ✅ Instant chat experience using GPT‑4o or your connected model. 2️⃣ Use Case #2: Image/Video Generation Using samples from Microsoft’s GitHub…
Introduction OpenAI’s ChatGPT has significantly transformed the landscape of artificial intelligence, especially in natural language processing (NLP). Since its inception, ChatGPT has evolved through various iterations, each bringing notable improvements in understanding and generating human-like text. This blog post delves into the current state of ChatGPT, speculates on future developments including ChatGPT-5, and explores the…
Creating a language model using a Bigram approach involves building a model that predicts the next word in a sequence based on the previous word. Below is a C# example that demonstrates a simple Bigram model: C# Example Using a Bigram Approach Explanation Running the Program Compile and run the program to see the generated…
Introduction Large language models (LLMs) like ChatGPT, developed by OpenAI, represent a significant leap forward in artificial intelligence, particularly in the fields of natural language processing (NLP), image processing, and language translation. These models are built using advanced neural networks and have the ability to understand and generate human-like text, interpret images, and translate between…
Introduction In this blog post, we’ll walk through creating a sample flight booking application using .NET 8 and C#. Additionally, we’ll integrate a ChatGPT-driven chat functionality to enhance user experience. We will cover the essentials, from setting up the project to implementing the core features and integrating the chat functionality. Setting Up the Project First,…