AI Tutorials

Discover how Google's newest specialized reasoning model can accelerate your data science workflows, interpret complex datasets, and write robust code.

Break your AI coding agent out of its sandbox. Discover how to use Codex CLI and MCP to connect LLMs to live data, external tools, and multi-agent workflows.

Learn how Cursor rules guide AI coding, from defining project-level context and file-matching patterns to maintaining accurate, up-to-date rules over time.

Learn what the Universal Commerce Protocol is, how it works, and how to build your first UCP server step by step.

Learn how to fine-tune Qwen3.5-0.8B with QLoRA using a lightweight setup that delivers a strong boost in news classification performance.

Learn Claude Code best practices from production teams. Use plan mode, CLAUDE.md files, and test-driven development to make the most of Claude's context window.

Learn how to use Claude Code’s Plan Mode to explore your codebase in read-only mode, surface questions, and review structured plans for multi-file changes.

Discover how to use Claude Code Router to connect to multiple providers, use the optimal LLM for every task, and reduce API cost without changing your workflow.

Learn how to use the Google Sheets AI() function to summarize, categorize, and rewrite text in cells. Discover when it works best and where it falls short.

Learn how to use Inception Labs’ Mercury 2 diffusion-based reasoning LLM to build a latency-aware research agent that can expand queries, search the web, synthesize a source-grounded answer, and run a verification pass.

Learn exactly how to run Claude Code in Docker to build isolated environments. Master secure coding practices for autonomous AI agents in this complete guide.

Learn how to build OpenClaw skills from scratch, connect external APIs, configure Docker sandboxing, and publish to ClawHub in this step-by-step tutorial.