Blog
I write about AI engineering, practical tooling, and experiments in local-first model deployment. Posts are Markdown and can embed code & demos.
Beyond Prompts
Unlocking the Future of AI-Powered Productivity with two essential guides for AI enthusiasts and entrepreneurs
Judgmental Art Cat
Building Sustainable Micro-Enterprises Through Art, Automation, and Experimentation
Read more →Building a Personalized AI Learning System with Local LLMs
In this guide, we will build an interactive learning platform that leverages AI to generate dynamic lessons, quizzes, and coding challenges from user-uploaded Markdown files.
Read more →Learning Platform
In this guide, we will build an interactive learning platform that leverages AI to generate dynamic lessons, quizzes, and coding challenges from user-uploaded Markdown files.
Read more →Comprehensive Guide to Building an AI-Powered Interactive Learning Platform
In this guide, we will build an interactive learning platform that leverages AI to generate dynamic lessons, quizzes, and coding challenges from user-uploaded Markdown files.
Read more →Ollama Chunking
Mastering Text Chunking with Ollama A Comprehensive Guide to Advanced Processing
Read more →Scalable AI Backends
Building a Scalable AI Backend A Comprehensive Guide to Modern Web Development
Read more →Large-Scale Agent Architecture
An in-depth systems engineering guide to structuring multi-agent frameworks with local-first LLMs and adaptive memory graphs.
Read more →Introduction to Model Context Protocol
The Model Context Protocol (MCP) is a standardized framework for managing, transmitting, and utilizing contextual information in machine learning systems. At its core, MCP defines how context—the set of relevant information surrounding a model's operation—should be captured, structured, passed to models, and used during inference.
Read more →A Comprehensive Guide to Browser-Use, MCP, and AI-Powered Information Processing
This guide transforms the concept of a basic research assistant into a comprehensive AI Knowledge Companion system—a versatile tool that not only conducts research but acts as your digital extension in navigating the vast information ecosystem.
Read more →Local LLM Document Pipeline Blueprint
This guide outlines a blueprint for building a local LLM document pipeline, focusing on efficiency, security, and customization.
Read more →Simulacra
This comprehensive guide demonstrates how to integrate the official OpenAI Agents SDK with Ollama to create AI agents that run entirely on local infrastructure. By the end, you'll understand both the theoretical foundations and practical implementation of locally-hosted AI agents.
Read more →Architectural Synthesis Integrating OpenAI's Agents SDK with Ollama
This comprehensive guide demonstrates how to integrate the official OpenAI Agents SDK with Ollama to create AI agents that run entirely on local infrastructure. By the end, you'll understand both the theoretical foundations and practical implementation of locally-hosted AI agents.
Read more →Crafting Symbiotic Intelligence Implementing MCP with OpenAI Responses API, Agents SDK, and Ollama
This comprehensive guide demonstrates how to integrate the official OpenAI Agents SDK with Ollama to create AI agents that run entirely on local infrastructure. By the end, you'll understand both the theoretical foundations and practical implementation of locally-hosted AI agents.
Read more →The Convergence of Model Context Protocol, OpenAI Agents SDK, and Ollama An Architectural Paradigm for Advanced AI Systems
This comprehensive guide demonstrates how to integrate the official OpenAI Agents SDK with Ollama to create AI agents that run entirely on local infrastructure. By the end, you'll understand both the theoretical foundations and practical implementation of locally-hosted AI agents.
Read more →Complete Guide Integrating OpenAI Agents SDK with Ollama
This comprehensive guide demonstrates how to integrate the official OpenAI Agents SDK with Ollama to create AI agents that run entirely on local infrastructure. By the end, you'll understand both the theoretical foundations and practical implementation of locally-hosted AI agents.
Read more →Mastering Burn for AI Training, Saving, and Running Local Models in Rust and Harnessing Rust for AI Integrating a Rust Library with OpenAI Agents in Python
Learn how to integrate a Rust library with OpenAI agents in Python, enabling efficient AI model training, saving, and running locally. This guide covers the setup, implementation, and optimization of the integration process.
Read more →Integrating the OpenAI Agents SDK with Rust’s Burn framework
Integrating the OpenAI Agents SDK with Rust’s Burn framework allows you to run AI models locally, eliminating the need for external API calls to large language models (LLMs). This setup enhances performance and ensures data privacy. Here’s a step-by-step guide to achieve this integration
Read more →Quiz Platform
# Building a High-Performance Quiz Platform with Next.js and Firebase Creating an online quiz platform can be challenging, especially when you need t...
Read more →ReasonAI
# Building Intelligent AI Agents with Local Privacy ## A Deep Dive into the Ollama Reasoning Agent Framework *A Developer's Guide to Core Concepts &...
Read more →Building a Custom AI Agent Framework with Next.js and Ollama
# Building a Custom AI Agent Framework with Next.js and Ollama In today's rapidly evolving AI landscape, agent-based systems have emerged as powerful...
Read more →Building an AI-Powered Next.js Application with Custom Agent Framework, and Ollama
# Building an AI-Powered Next.js Application with Custom Agent Framework, and Ollama ## 1. Introduction **What is Ollama?** Ollama allows you to run...
Read more →Building an AI-Powered Next.js Application with Mastra and Ollama
Learn to build a complete Next.js application that uses Mastra and Ollama to create AI agents for task automation with step-by-step code examples and best practices.
Read more →Text Adventure
Build a web application that generates interactive text adventures from images using Next.js, Python, and local AI models with Ollama. Complete with installation and deployment instructions.
Read more →Building an AI-Powered Filename Generator Chrome Extension
Learn how to create a Chrome extension that uses AI to automatically generate meaningful filenames when downloading files, with full code examples and implementation details.
Read more →Privacy Policy
Learn how the AI Filename Generator Chrome Extension processes your data locally, requires no external servers, and implements strict privacy measures to protect your information.
Read more →RedDiss
 [Repo](https://github.com/kliewerdaniel/RedDiss.git) # Behind the Scenes of RedDiss: Crafting AI-Powered Diss Tr...
Read more →Ollama Smolagents Open Deep Research Integration
**Unlocking Open-Source AI Power: How to Run Your Own Deep Research Agent with Ollama and Smolagents** The AI landscape is rapidly evolving, but re...
Read more →Announcing the Loco LLM Hackathon 1.0 Building Open-Source AI for Everyone
This morning, an email about **smolagents**—a breakthrough framework replicating OpenAI’s powerful Deep Research system—landed in my inbox. Inspired,...
Read more →Step-by-Step Guide to Running Open Deep Research with smolagents
# Step-by-Step Guide to Running Open Deep Research with `smolagents` This guide walks you through setting up and using the Open Deep Research agent ...
Read more →Scrape Reddit Analysis Blog
# **Reddit Content Analyzer: Complete Guide** *Transform Your Social Media Activity Into Insights* For years, social media has been an unfiltere...
Building a Multimodal Story Generation System
# Multimodal Story Generation System [](https://opensource.org/licenses/MIT) [...
Image to Book
**Introduction: Building an AI-Powered Narrative Generation System** This guide presents a comprehensive technical framework for transforming stati...
The Solo Developer's Guide to Upwork Success A Psychological Analysis with Practical Implementation
# The Solo Developer's Guide to Upwork Success: A Psychological Analysis with Practical Implementation ## Understanding Platform Psychology The foun...
Cultural Fingerprints in AI; A Comparative Analysis of Ethical Guardrails in Large Language Models Across US, Chinese, and French Implementations
## Cultural Fingerprints in AI; A Comparative Analysis of Ethical Guardrails in Large Language Models Across US, Chinese, and French Implementations ...
Continue.dev Ollama
# Setting Up Continue.dev with Ollama for Local LLMs in VSCode ### Prerequisites 1. **VSCode + Continue.dev**: Ensure you have Visual Studio Code i...
Homeless Guide Austin
# Navigating Homelessness in Austin: A Comprehensive Guide with Personal Insights **Table of Contents** 1. [Introduction](#introduction) 2. [Underst...
LangChain Ollama
**High-Level Architecture for the LangChain Application using Ollama:** The application leverages a graph structure to manage and orchestrate int...
Learning from the Past
### Learning From the Past and Building a Better Future Through Technology Our world stands at a critical juncture. We’ve witnessed how the unchecke...
Next Gen PersonaGen
# Building the Future of AI: A Unified Framework for Reinforcement Learning, Retrieval-Augmented Generation, and Persona Modeling The convergence of...
RL
Reinforcement Learning (RL) has emerged as one of the most exciting fields in machine learning, giving rise to breakthroughs in robotics, game-playing...
Pydantic RAG
Below is a comprehensive, step-by-step guide designed for developers looking to combine persona-driven data modeling with Retrieval-Augmented Generat...
PersonaGen
https://github.com/kliewerdaniel/PersonaGen # Comprehensive Guide to Refactoring a Django Project for Enhanced Persona Management In the rapidly ev...
Persona Chat
# Building a Personalized AI Assistant with LangChain: A Starting Point for Your Next NLP Project Artificial Intelligence has revolutionized the way ...
Basic RAG
# Building a Robust Retrieval-Augmented Generation System with LangChain and OpenAI **Table of Contents** - [Introduction](#introduction) - [Prerequ...
Tech Company Orchestrator
# Tech Company Orchestrator - User Guide [https://github.com/kliewerdaniel/tech-company-orchestrator](https://github.com/kliewerdaniel/tech-company-o...
Read more →Basic AutoGen
# Building an AI Travel Planner with AutoGen: A Step-by-Step Guide This guide will help you create an AI-powered travel planner using Microsoft's Aut...
Read more →Basic Swarm Chatbot
# Guide to Building an AI-Powered Customer Support Chatbot Using Swarm This guide will help you create an AI-powered customer support chatbot that ut...
Read more →Guide to Building an AI Agent-Based Cross-Platform Content Generator and Distributor
# Guide to Building an AI Agent-Based Cross-Platform Content Generator and Distributor This guide will walk you through building an application that...
Read more →Instagram Feed Summarizer
Creating a **Multi-Model AI Agent** that monitors a user's Instagram posts, generates detailed descriptions from images, summarizes the user's persona...
Read more →Reddit Blog Generator
# Building an Automated Reddit-to-Blog Post Generator: A Step-by-Step Guide In the ever-evolving landscape of digital content creation, automation to...
Read more →Building an Enhanced Persona Generator and Responder with Python and OpenAI
# Building an Enhanced Persona Generator and Responder with Python and OpenAI In the age of artificial intelligence, creating personalized and contex...
Read more →Swarm Autogen
Enhancing your existing Python script by integrating [OpenAI Swarm](https://github.com/openai/swarm) and [Microsoft Autogen](https://github.com/micro...
Read more →Data Annotation Guide
# Mastering Data Annotation: A Comprehensive Guide for Aspiring Professionals ## Introduction: The Invisible Backbone of Artificial Intelligence In ...
Read more →RLHF-Lab Business Plan
# **RLHF-Lab Business Plan** ## **Table of Contents** 1. **Executive Summary** 2. **Company Description** 3. **Market Analysis** 4. **Organization a...
RLHF-Lab
# **RLHF-Lab** Revolutionizing Data Annotation for Machine Learning through Reinforcement Learning from Human Feedback (RLHF) **Efficient. User-Frie...
Planning
# Building a Data Annotation Platform Company from Scratch: A Comprehensive Guide This comprehensive guide walks you through every phase of building...
Deep Fake
## Table of Contents 1. [**Prompt and Response Demonstration**](#prompt-demonstration) 2. [**How This Technology Works**](#how-it-works) - [Encod...
Creating AI Agents
# The Creation of the Digital Übermensch: A Guide to Building AI Agents Hearken unto me, ye creators of the silicon age! I shall speak to you of the ...
Ghost Writer
## Table of Contents 1. [Overview of GhostWriter](#ghostwriter-your-ai-powered-sidekick-for-exceptional-writing) 2. [Key Features](#key-features-tha...
Integrating Django-Reac-Ollama with XAi API
https://github.com/kliewerdaniel/PersonaGen Ah, dear reader, as we gather to discuss the remarkable synthesis of art and technology, we must confess...
Building a Full-Stack Application with Django and React
# Building a Full-Stack Application with Django and React: A Step-by-Step Guide In this comprehensive guide, we'll walk through the process of build...
Django React
Follow this detailed guide to build a full-stack application that combines Django's robust backend with React's dynamic frontend to create a persona-based text generation system.
How to Build a Persona-Based Blog Post Generator Using Large Language Models
Learn to create a Python-based tool that analyzes writing samples and generates personalized blog content using LLMs like Llama 3.2, with complete code examples and implementation steps.
Detailed Description of Insight Journal
Discover how Insight Journal enhances personal reflection through locally-hosted LLMs, offering AI-generated feedback while maintaining privacy and control over your data.