Blog Posts
AI SSR Guide
Build a Server-Rendered AI-Powered Page with Next.js + LLMs
Demystifying Large Language Models
A Beginner's Guide to Understanding LLMs
Beyond Prompts
EchoShelf
Voice-Based Inventory Memory with Daily Team Sync
Judgmental Art Cat
Building Sustainable Micro-Enterprises Through Art, Automation, and Experimentation
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.
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.
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.
Ollama Chunking
Mastering Text Chunking with Ollama A Comprehensive Guide to Advanced Processing
Scalable AI Backends
Building a Scalable AI Backend A Comprehensive Guide to Modern Web Development
Large-Scale Agent Architecture
An in-depth systems engineering guide to structuring multi-agent frameworks with local-first LLMs and adaptive memory graphs.
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.
Local LLM Document Pipeline Blueprint
This guide outlines a blueprint for building a local LLM document pipeline, focusing on efficiency, security, and customization.
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.
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.
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.
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.
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.
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.
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.