Mini Courses
Bite-sized explainers on AI concepts, tools, and careers — no prerequisites needed.
Fine-Tuning, Explained Simply: When Companies Really Do It (and What It Costs)
What "fine-tuned on proprietary data" actually means, when companies really do it, what it costs, and how it differs from just writing better prompts.
MCP: The Universal Plug for AI
Why everyone's suddenly saying "MCP" — how the Model Context Protocol replaced a drawer full of custom integrations with one standard connector for AI tools.
Tokens & Context Windows: The Two Ideas Behind Every AI Product
Tokens (what the model reads) and the context window (how much it can hold), explained with real numbers from a real tokenizer. Ten minutes, no prerequisites.
Who's Actually Leading in Physical AI
Everyone claims "embodied AI." Here's who's actually shipping models the field is building on — ranked by what they've put in the open and on real hardware.
What a "Forward Deployed Engineer" Actually Is
Half the AI startups you follow are hiring for this vaguely military-sounding role. Once you know where the term comes from, the whole job makes instant sense.