A calm reading space for the curious mind. Pour yourself a cup, settle in, and explore stories worth your time.
Build beyond simple chatbots. Learn how Agentic AI systems actually work—from agent architecture and ReAct loops to tool calling, MCP, memory, RAG, LangGraph, and local LLMs. This developer-focused guide explains the core concepts and shows how to build a practical AI agent in Python.
Cognate is a local-first, privacy-first AI planner built for people who want intelligent scheduling without giving up control of their data. This article explores the architecture behind Cognate, including its deterministic Rust scheduler, offline-first CRDT synchronization, end-to-end encryption, and cross-platform design.
After months of experimentation, failures, and countless late-night coding sessions, Amadeus AI has evolved into a production-ready personal AI assistant. This article shares the journey behind building Amadeus AI v6.0.0, the lessons learned, and why I chose a local-first, privacy-focused approach instead of chasing every new AI trend.
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