Guides
Longer explanations of how models behave and why, aimed at the questions that actually come up.
- Universal
Giving a model a role and constraints
How naming the audience, the format and the exclusions turns unpredictable answers into repeatable ones.
- LlamaMistral
Running a model on your own machine
What local models are genuinely good for, what hardware you need, and what to change in prompts that came from a hosted model.
- Universal
Choosing a model for the job
A practical comparison of what to reach for when, based on the shape of the task rather than benchmark scores.
- Universal
Working with long documents and code
Why long sessions drift, what a large context window actually buys you, and how to keep a model on task across a big input.
- Universal
Moving your rules into a config file
How to stop repeating the same instructions in every message, and what belongs in a system prompt against what belongs in the task.
- Universal
What a prompt actually is
The three parts every working prompt has, why their order changes the answer, and how to tell a vague prompt from a specific one.