A practical cheatsheet on making AI agents safe to retry and resume: why agents are distributed systems, idempotency keys and how to implement them, retries with exponential backoff and jitter,...
A practical cheatsheet on position sizing for investors and traders: why size matters as much as selection, fixed fractional (risk per trade) sizing, volatility targeting and inverse-volatility...
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...