Prompting
How to get better results from AI models. Practical techniques, real numbers.
Context windows: how much can the model hold — and what happens when it forgets
What context windows are, why they matter for your product, and the practical difference between 128K and 200K tokens in real applications.
Read →Reducing API costs by 40%: a practical guide
Four techniques that reduce AI API costs without reducing output quality. With real numbers from current model pricing.
Read →Output formatting: how to get the structure you need, consistently
Why models produce inconsistent output formats, how to fix it, and when to use JSON mode versus natural language.
Read →System prompts: the standing order you give before the first meeting
What system prompts are, why they matter more than your individual messages, and how to write one that actually changes model behaviour.
Read →Token economics: why every word costs money
How AI tokens are priced, what affects your API costs, and the single change that reduces spend by 60% without changing your output quality.
Read →This track is growing. Articles added continuously.