tutorial

A technical primer that explains how LLM inference works, covering weights in GPU memory, prefill vs. decode, the KV cache, and batching.

A tutorial and live demo showing how to build an AI SQL analyst agent that inspects schema, writes queries, runs them, and explains results using Node.js, OpenAI, Vercel AI SDK, and SQLite.

A text-first, hands-on guide to agentic AI for practicing engineers, with runnable local-first code samples and a module-based structure covering LLM basics, tool calling, RAG, memory, multi-agent patterns, evaluation, safety, and enterprise topics.

A step-by-step tutorial that walks readers through making a first Anthropic Claude API call in Python, including environment setup, client creation, token usage, and printing the response.

A detailed Quickchat AI tutorial for building a Telegram group bot that can announce, pin, mute, and ban using AI Actions and admin-only safeguards.

A practical guide to building an always-on personal AI assistant with Pi, OpenCode Go, Telegram, Resend, Hetzner, Tailscale, GitHub, and Nginx.

A technical tutorial that walks through building a coding agent in Python, including tool calling, file editing, shell execution, web search, and permission prompts. It includes code snippets, a demo workflow, and a linked GitHub repository with the full implementation.

A detailed tutorial that explains what agent tools are and walks through a basic set of implementation patterns for an AI agent in Python, including bash, file, search, edit, and web fetch tools.