A practical cheatsheet for cutting LLM API costs without cutting quality: where the money actually goes (input vs. output vs. cached tokens), prompt caching and how to structure prompts for cache...
A practical, research-based cheatsheet on recovery from work: what burnout is and is not, the effort-recovery and job demands-resources models, the four recovery experiences (detachment,...
A practical cheatsheet on git worktrees for running several AI coding agents (or humans) on the same repository at once: the mental model, the commands, naming and directory layouts, per-worktree...
A practical cheatsheet for choosing between prompting, retrieval and fine-tuning, and for doing parameter-efficient fine-tuning well when you need it: how LoRA and QLoRA work, the hyperparameters...
The future of trading belongs to those who know how to make AI work alongside human intelligence. Hedge funds, family offices and independent traders are entering a new era where traditional...