AI Agents Tutorials

Build a GitHub CI repair workflow with DeepSeek Superagent, then use observe mode, pytest, holdout data, and human review to check one pandas fix.

Use Meta Muse Wonder and Olostep web API to check medical claims, explain the reasoning, and show where the evidence came from.

A hands-on Meta Muse setup guide for first-time users. Learn how to set permissions, connect tools, scope a task the agent can actually finish, and read the Activity log so you know what it did before you trust the output.

Learn how to set up Paperclip on Windows with MiMo-V2.6-Pro and build an autonomous AI team that plans, delegates, and manages projects from a single dashboard.

Learn how to add on-demand persistent memory to chatbots and agents with MongoDB Atlas Ephemeral Clusters, MongoDB Vector Search, and Automated Embedding.

A hands-on Claude Cowork plugins tutorial: install Anthropic's Data plugin, connect a warehouse and run a slash command, customize the plugin for your own tables, and build a complete weekly-report plugin from scratch with every file shown.

Learn how to build a real-time support-call transcriber with the Grok Voice Transcribe 2.0 API in Python, then add diarization, Smart Turn, and 8 kHz phone audio.

Learn how to use the Claude Sonnet 5.5 API in Python. Build a reconciliation agent that earns write access mid-conversation, then test whether higher effort changes the result.

An overview of OpenHands, the open-source AI coding agent, covering its architecture, a local setup with Ollama, a hands-on bug fix, security and limitations, and how it compares to Claude Code, Cursor, and GitHub Copilot.

Evaluate AI agents that use tools. Learn task completion, tool calling accuracy, refusal calibration, and injection testing, with code and a CI gate you can reuse.

Learn how to stream mic audio, handle interruptions, and call tools asynchronously in Python, then compare Gemini 3.8 Live with its Extended Thinking variant.

Nodes do the work, edges decide what runs next, and shared state carries information between them. This graph engineering tutorial covers when a multi-agent graph actually beats a single loop, and walks through building a researcher, writer, and reviewer pipeline in LangGraph with a conditional retry edge.