Mini Crates ๐ฆ
AI & Machine Learning from the ground up. No PhD required. No baby talk either.
11 crates ยท 3 difficulty tracks ยท ~2.5 hours total ยท 100% free
Operator guides
Ranked picks for browser control, MCP server building, and operator-grade Claude Code workflows.
A practical selector for LangGraph, CrewAI, AgentScope, LangChain, and AutoGPT by workflow style.
Open source picks for terminal-first coding agents, local-first assistants, and repo automation workflows.
Ranked picks for live browser debugging, deterministic QA, and browser-agent workflows.
Practical picks for retrieval stacks, persistent agent memory, and context-serving infrastructure.
Ranked picks for tracing, evals, monitoring, and operational feedback loops.
A hub page mapping frameworks, coding agents, browser automation, memory, observability, and MCP layers.
Choose Your Path
Zero assumptions. Start here if AI is new to you.
Neural nets, vision, language, and hands-on training.
Ethics, generative AI, and the frontier. You're building the future.
All Crates
Spoiler: it's not a robot uprising (yet)
Teaching rocks to think, one number at a time
Garbage in, garbage out (seriously)
Inspired by brains, powered by math
Pixels, patterns, and why Snapchat filters work
How AI learned to read, write, and roast your grammar
From zero to model in (many) easy steps
Power, bias, and who gets to decide
When AI stops analyzing and starts creating
From chatbots to autonomous agents โ and what comes next
When retrieval helps, when it hurts, and why bigger context changed the stack