AI Guides & Tutorials
Once you have the basics of prompting down, the next step is not a longer list of tricks. It is a small set of reliable patterns, reusable moves that keep working on real tasks, under pressure, across model versions. These are the ones I actually reach for, stripped of the hype.
Read more: Prompt patterns that survive contact with real work
If you are new to this and trying to pick your first AI model, the internet will hand you forty benchmark charts and a headache. Ignore them. The right first model has almost nothing to do with leaderboard trivia and almost everything to do with what you are actually going to do. Here is the short, honest version.
Read more: Picking your first LLM in 2026 without reading 40 benchmark charts
Every model has a default voice, and it is the same voice: smooth, agreeable, faintly corporate, allergic to a strong opinion. It is the tone of a brand apologizing. If you want AI to help you write without sounding like everyone else who uses AI, you have to actively drag it away from that default. Here is how.
Read more: Getting AI to write in your voice instead of its own
Most AI bills are not big because the work is hard. They are big because of lazy defaults: the most expensive model on every task, the biggest context every time, and no thought about which jobs actually need the premium option. Here is how to spend far less without your results getting worse.
Read more: How to cut your AI bill in half without downgrading your results
AI coding tools are genuinely great and genuinely dangerous, often in the same suggestion. They will write in thirty seconds something that would have taken you twenty minutes, and it will contain a subtle bug you would never have written yourself. Here is the workflow I actually use to get the speed without shipping the mistakes.
Read more: A practical workflow for coding with AI without shipping its mistakes