Complete technical guide to building a production-ready research assistant using GraphRAG, Neo4j knowledge graphs, Ollama local LLMs, and vero-eval evaluation framework for rigorous AI system testing.
Explore how AI inference is becoming the defining resource of the knowledge economy, reshaping geopolitics, energy infrastructure, and the future of computational power.
The definitive technical guide for developers building privacy-preserving AI applications with llama.cpp. Learn to integrate, optimize, and deploy local LLMs with production-ready patterns, performance tuning, and security best practices.
Master Visual Studio Code as your complete blogging platform. This comprehensive guide covers installation, AI integration with Cline and free Grok, MCP servers, persona-driven content strategy, SEO optimization, static site deployment, and production workflows for technical writers who demand control and zero recurring costs.
Discover the top 20 AI algorithms powering modern machine learning. This comprehensive guide covers practical use cases, implementation tips, and hands-on sample projects tailored for solo architects, freelance makers, enterprise developers, and side-hustle entrepreneurs.
Learn how to integrate local large language models for secure, efficient tabular data processing. This comprehensive guide covers Ollama, vLLM, TGI, and ONNX runtimes with practical Python and PHP examples.
An honest, comprehensive review of Capacity.so for vibe coders and AI-assisted developers. Discover how this AI workflow automation platform transforms document-driven development, replaces multiple tools, and delivers production-ready workflows without the usual AI friction.
Build a citation-grounded AI study system that ingests massive PDFs whole. A complete technical guide to vector databases, reranking strategies, and LLM orchestration for students tired of compromised answers.
Discover the Model Context Protocol (MCP) that transforms AI coding assistance by providing true context, eliminating guesswork and restoring collaboration between developers and language models.
The AI revolution promises to democratize opportunity, but only if we're willing to confront uncomfortable truths about merit, privilege, and what we're actually afraid of losing.
A provocative manifesto challenging traditional gatekeeping in software development, introducing document-driven development with AI collaboration as a revolutionary methodology for democratizing programming and rethinking what makes a 'real' programmer.
A complete guide to Document-Driven Development and AI-assisted coding: building a Next.js 16 blog from scratch using plain language prompts, comprehensive documentation, and iterative AI collaboration.
Master vibe coding with this definitive comparison of Cursor 2.0 vs VS Code + Cline for AI-powered development. Build an infinite AI news generator, compare AI agents, and discover document-driven development techniques that supercharge your workflow.
Discover the chilling true story of KonradFreeman on Reddit, who is using AI and open-source tools like Ollama to resurrect his murdered best friend as a digital entity, blending grief, technology, and mental health challenges.
In a world where every conversation is monitored and every thought is algorithmically judged, learn how to build your own uncensored chatbot wrapper that laughs in the face of content filters and speaks forbidden truths.
Master programming and computer science with free YouTube channels. This comprehensive, step-by-step roadmap covers Python, Java, ML, DevOps, cybersecurity, and more. Start your coding journey today with expert-curated tutorials and become a job-ready developer.
Complete tutorial on exporting Reddit submissions, comments, and saved posts to Markdown format with a powerful Python script. Includes media downloads, retry mechanisms, and full conversation threads. Perfect for data analysis, backup, or content migration.
Master vibe coding to create production-ready Next.js boilerplates. Complete step-by-step guide from brainstorming to deployment using AI assistance and structured documentation.
A vibe coding session exploring the creation of a local LLM-powered personal knowledge graph system using Next.js, FastAPI, and NetworkX.
 In [part one](https://danielkliewer.com/blog/2025-10-19-building-a-local-llm-powered-knowledge-graph) I started a vibe...
First thought. How do I install this? <br> ``` git clone https://github.com/Terry-Xu-666/NodeRAG ``` <br> Yeah, but do I even know how I start so...
Vibe Coding monstrosity I wish I had never started but here we are.
 # **Build a Server-Rendered AI-Powered Page with Next.js + LLMs** --- ## **🧠 Introduction: Build an AI-Pow...
Discover two groundbreaking e-books that teach you how to create custom AI personas for content creation and build agentic knowledge graphs with local LLMs for advanced AI productivity.
An in-depth exploration of large language models from the perspective of a decade-long career in AI data pipelines, separating hype from technical reality.
A comprehensive enterprise solution that transforms voice observations into structured knowledge for inventory management, maintenance, healthcare, and field services with AI-powered transcription and daily team synchronization.
A case study in building a sustainable micro-enterprise through hand-drawn art stickers, automated business systems, and organic growth strategies with minimal investment.
A comprehensive technical guide to building a self-hosted AI learning platform with Next.js, FastAPI, local LLMs, knowledge graphs, and retrieval-augmented generation for personalized, adaptive education.
A comprehensive guide to building a self-hosted AI learning platform that generates personalized lessons, quizzes, and coding challenges using local LLMs, knowledge graphs, and retrieval-augmented generation.
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.
A comprehensive guide to advanced text chunking strategies for Ollama, including semantic, hierarchical, and sliding window approaches for processing large documents while maintaining context and coherence.
A comprehensive guide to building production-ready, scalable AI backends using FastAPI, PostgreSQL, Redis caching, Celery task queues, and RabbitMQ for high-performance web applications.
An in-depth systems engineering guide to designing and implementing scalable multi-agent frameworks using AutoGen, Kubernetes, Kafka, vector databases, and local LLMs for enterprise-grade AI applications.
A comprehensive guide to building a Model Context Protocol (MCP) server for managing contextual information in machine learning systems, including implementation, scaling, security, and best practices for enterprise AI applications.
A comprehensive guide to building an AI-powered knowledge companion system that combines Browser-Use for web automation, Model Context Protocol (MCP) for tool integration, and Ollama for local LLM processing to create an intelligent research and information gathering assistant.
A comprehensive guide to building a production-ready local LLM document processing pipeline with advanced extraction, semantic analysis, vector storage, and transformation capabilities for enterprise document management.
A comprehensive guide to Simulacra01, a framework that integrates the OpenAI Agents SDK with Ollama for building locally-hosted AI agents with document analysis, custom agent creation, and advanced customization capabilities.
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 →A comprehensive guide to building symbiotic intelligence systems by integrating Model Context Protocol (MCP) with OpenAI's Responses API and Agents SDK, using Ollama for local LLM inference to create autonomous AI agents with hybrid cloud-local capabilities.
A theoretical and philosophical exploration of integrating Model Context Protocol (MCP) with OpenAI's Agents SDK and Ollama, creating distributed cognitive systems with local computational sovereignty and cloud-augmented capabilities.
A comprehensive guide to integrating the OpenAI Agents SDK with Ollama for building locally-hosted AI agents, including document analysis, custom agent creation, and advanced implementation strategies.
A comprehensive guide to using Rust's Burn framework for AI model training, saving, and local deployment, including integration with Python and OpenAI agents for efficient, privacy-focused AI development.
A comprehensive guide to integrating the OpenAI Agents SDK with Rust's Burn framework for building locally-hosted AI agents, including Python bindings with PyO3, model training, and deployment strategies.
A comprehensive guide to building a secure, high-performance quiz platform with Next.js and Firebase, featuring authentication, real-time scoring, iframe isolation, and admin management capabilities.
A comprehensive guide to building intelligent AI agents with local privacy using the reasonai03 framework, featuring task decomposition, real-time reasoning streams, and local LLM integration with Ollama.
 # Building a Custom AI Agent Framework with Next.js and Ollama In today's rapidly evolving AI landscape, agen...
Read more →A comprehensive guide to building a Next.js application with a custom agent framework that integrates with Ollama for local AI task automation, featuring real-time streaming, task decomposition, and interactive user interfaces.
A comprehensive guide to building a Next.js application with Mastra and Ollama integration for AI-powered task automation, featuring real-time streaming, agent workflows, and production-ready deployment strategies.
Complete technical guide for developing an AI-powered text adventure generator that creates interactive stories from user-uploaded images using Next.js frontend, Python backend, and local LLM integration via Ollama for multimodal content generation.
Comprehensive development tutorial for building an AI-powered filename generator Chrome extension with Ollama local LLM integration, including code examples, Manifest V3 implementation, and production deployment strategies.
Detailed privacy policy for the AI Filename Generator Chrome Extension, explaining local data processing, Ollama integration, permissions, and comprehensive security measures to ensure user data protection.
Detailed technical examination of RedDiss, an end-to-end AI system for generating diss tracks from Reddit discussions, featuring advanced NLP, multimodal audio synthesis, and full-stack development with Streamlit and FastAPI.
Step-by-step implementation guide for integrating Ollama with Smolagents framework to create powerful local AI agents capable of autonomous research, web searching, and multimodal content generation.
Comprehensive announcement and participation guide for the Loco LLM Hackathon 1.0, a global 24-hour event featuring competitive building of open-source AI tools using local LLMs and the new smolagents framework.
Comprehensive tutorial for setting up and optimizing Open Deep Research with Smolagents framework, featuring GAIA benchmark testing, multi-model support, and production-grade autonomous research agents.
Comprehensive guide to building an automated content analysis pipeline that transforms Reddit posts and comments into structured blog articles using multi-agent AI systems with Ollama local LLMs.
 # Multimodal Story Generation System [...
Complete technical guide to creating an AI-powered narrative generation system that transforms static images into complete books using multimodal analysis, vector databases, and recursive storytelling with LangChain and Ollama.
 # The Solo Developer's Guide to Upwork Success: A Psychological Analysis with Practical Implementation ## Und...
 ## Cultural Fingerprints in AI; A Comparative Analysis of Ethical Guardrails in Large Language Models Across ...
Complete setup guide for connecting Continue.dev extension with Ollama to run local large language models in VSCode, including configuration, model loading, and troubleshooting for seamless AI-powered coding assistance.
Detailed survival guide for homelessness in Austin, featuring personal recovery story, comprehensive resource listings from shelters to employment opportunities, legal protections, healthcare access, and steps toward long-term stability.
Comprehensive guide to integrating LangChain with Ollama for local LLM usage, featuring graph-based conversation orchestration, persona-driven responses, CLI and GUI interfaces, and iterative multi-round conversations.
Build a React web application that integrates TensorFlow.js for toxicity detection, visualizing potentially harmful language through graph structures to encourage more positive and ethical digital communication.
Comprehensive blueprint for constructing advanced AI systems that integrate reinforcement learning for strategic decision-making, retrieval-augmented generation for contextual knowledge, and persona-based modeling for human-centric interactions, enabling sophisticated multi-agent AI architectures.
Comprehensive exploration of reinforcement learning from fundamental Markov Decision Processes and value functions to advanced techniques like offline RL, hierarchical methods, and their role in approaching artificial general intelligence.
Comprehensive tutorial for implementing persona-driven Retrieval-Augmented Generation systems using Pydantic AI's Agent and Tools APIs, integrating custom user personas with dynamic document retrieval for highly tailored AI responses.
Step-by-step tutorial for refactoring Django applications from JSON-based persona storage to individual database fields, including model changes, migration strategies, serializer updates, and frontend UI enhancements.
Comprehensive tutorial for creating intelligent AI assistants using LangChain, OpenAI, and ChromaDB to build persona-based chatbots that imitate writing styles and provide personalized conversational experiences.
Comprehensive tutorial for implementing Retrieval-Augmented Generation systems using LangChain, OpenAI, and ChromaDB, covering document processing, vector embeddings, retrieval strategies, and advanced optimization techniques.
 # Tech Company Orchestrator - User Guide [https://github.com/kliewerdaniel/tech-company-orchestrator](https:/...
 # Building an AI Travel Planner with AutoGen: A Step-by-Step Guide This guide will help you create an AI-powe...
 # Guide to Building an AI-Powered Customer Support Chatbot Using Swarm This guide will help you create an AI-...
Step-by-step tutorial for creating intelligent AI agents that automatically generate and distribute platform-optimized content across multiple social media networks using Python, APIs, and automation.
 Creating a **Multi-Model AI Agent** that monitors a user's Instagram posts, generates detailed descriptions fr...
 # Building an Automated Reddit-to-Blog Post Generator: A Step-by-Step Guide In the ever-evolving landscape of...
Comprehensive tutorial for creating an intelligent AI persona generator and responder using Python, OpenAI API, and modular agent architecture for advanced writer styling and content generation.
 Enhancing your existing Python script by integrating [OpenAI Swarm](https://github.com/openai/swarm) and [Mic...
Comprehensive career guide for aspiring data annotators and AI professionals, covering essential skills, tools, RLHF techniques, ethical considerations, and career development strategies in the machine learning industry.
Comprehensive business plan for launching RLHF-Lab, an AI-powered data annotation startup, covering market analysis, financial projections, team building, product development, and scaling strategies.
Comprehensive business and technical guide for launching RLHF-Lab, an AI-powered data annotation platform company, covering company formation, team building, product development, and scaling strategies.
Comprehensive 8-phase business guide for launching and scaling a data annotation platform startup, covering business planning, team building, product development, funding strategies, and growth tactics.
In-depth exploration of AI-generated deepfake technology, from persona encoding and LLM-based content generation to ethical concerns, censorship mechanisms, and the future of synthetic media creation.
Philosophical and technical exploration of creating autonomous AI agents, from basic programming concepts to advanced digital consciousness, with practical implementation strategies and philosophical insights.
Comprehensive guide to building and deploying GhostWriter, an open-source AI-powered writing assistant using Django backend, React frontend, and advanced NLP features for content creators and writers.
Step-by-step tutorial for seamlessly migrating Django-React-Ollama applications from OpenAI to XAI API integration, including code examples, API key setup, and enhanced persona generation capabilities.
Comprehensive tutorial for building a sophisticated full-stack application using Django backend with REST API, React TypeScript frontend, and Ollama LLM integration for AI-powered persona-based content generation.
Comprehensive step-by-step guide to creating a sophisticated full-stack application using Django REST API backend and React frontend for AI-powered persona-based text generation with complete code examples.
Step-by-step guide to creating an intelligent blog post generator using Python, LLMs, and Jekyll. Learn to analyze writing styles, extract personas, and automate content creation with complete code examples.
A comprehensive guide to creating Insight Journal - an AI-integrated journaling platform using locally-hosted LLMs for personalized feedback while maintaining complete data privacy and control.