บทเรียน AI Agents

Run GLM 4.7 Flash locally (RTX 3090) with Claude Code and Ollama in minutes, no cloud, no lock-in, just pure speed and control.

Learn what Moonshot’s Kimi K2.5 is, how Agent Swarm works, and see it in action through four hands-on, real-world experiments.

Set up OpenClaw(formerly Clawdbot/Moltbot), a self-hosted agent connecting Claude to your Mac via WhatsApp. Search files and run shell commands from your phone.

Explore the architecture of Google’s managed MCP servers and learn how to turn LLMs into proactive operators for BigQuery, Maps, GCE, and Kubernetes.

Learn how to run GLM-4.7-Flash on an RTX 3090 for fast local inference and integrating with OpenCode to build a fully local automated AI coding agent.

Learn how to deploy autonomous AI agents directly from your browser using AgentGPT, and understand when you might want to look elsewhere.

Learn what Claude Cowork is and how to use for file organization, document generation, and browser automation. Hands-on tutorial with real examples and limitations.

Explore what’s new in Claude Code 2.1 by running a set of focused experiments on an existing project repository within CLI and web workflows.

Learn how to build a citation-grounded Streamlit document Q&A assistant with Nemotron 3 Nano, using lightweight keyword retrieval and either local Ollama runs or Ollama Cloud inference.

Learn how to use Gemini 3 Flash to create a UI Studio that assembles dashboards via tool calls, structured outputs, and rapid knob-based iteration.

Learn how Google Workspace Studio lets you create AI agents to automate workflows in Gmail, Drive, and Sheets with an easy, hands-on beginner tutorial.

Discover how AG-UI standardizes communication between AI agents and user interfaces through event-driven design, enabling real-time, multimodal, and human-in-the-loop experiences.