Working with AI
How to use AI for real work. From "what is an LLM" through verifying output, using it in your week, and building with it.
Start here
The foundations that make every later guide easier. Read this pillar first if you are new to AI.
Verify and trust
What AI gets wrong, how to check its output, and what is safe to share at work.
How AI works
The mechanism under the hood — tokens, embeddings, transformers, context windows, agents. For the curious operator who wants to understand, not just use.
Use AI for work
Concrete task-based playbooks — email, meetings, research, weekly reports, second-brain capture.
Build with AI
Prompting your way to working software. Vibe coding, code review, working on existing codebases.
Ship and own your stack
Graduating from no-code to a real production deploy you control.
AI by role
Role-specific playbooks for sales, marketing, founders, HR, PM, engineering, design, ops.
Choose the right AI
Which model for which job, when a chat window is enough vs when to reach for a coding agent, and when the paid tier actually pays off.