MODELSHow to evaluate a new AI model in two weeks: a practical review framework
Launch-day benchmarks tell you little about your workload. A day-by-day plan for testing a new model on real tasks and reaching a defensible decision.
MODELSChoosing a model is a budget decision, not a leaderboard decision
Latency, cost per task and the cost of failure matter more than the top line of any chart. A worksheet you can reuse for every model decision.
PAPERSSpeculative decoding: faster answers without changing them
A small model drafts, a big model checks several tokens at once, and the output distribution stays exactly the same. How and when it speeds things up.
TESTSWhat do reasoning tokens actually cost you? How to measure and control them
Hidden thinking tokens are billed like output and vary wildly by task. A practical audit to find where reasoning pays off and where it is burning money.
BENCHMARKSDesigning an LLM latency benchmark that matches what users feel
Time to first token, tokens per second and p95 under real load. A method for measuring LLM speed that predicts user experience, not lab conditions.
TESTSDoes "think step by step" help on short tasks?
Chain-of-thought helps a lot on maths and logic and very little on many everyday tasks. What the research says and how to check your own workload.