News & guides
What Is a Parameter Count, and Does It Matter?
Parameter counts are the most quoted and least understood model spec. What they measure, why total and active differ, and when the number predicts anything useful.
· 8 min read
What It Costs to Run a Fleet of Agents
Fan-out is the dominant cost term once you run agents in parallel. Here is the arithmetic for coordinator and subagent spend, plus what actually reduces it.
· 8 min read
When a Cheap Model Is Enough
Most production LLM traffic does not need a frontier model. A practical framework for deciding which tasks can drop a tier without anyone noticing.
· 8 min read
When Not to Use an Agent
Most tasks handed to agents are better served by a fixed workflow or a single model call. A decision rule, the failure modes, and what to build instead.
· 8 min read
Why Agent Costs Are Unpredictable, and What to Do About It
Agent spend follows a heavy-tailed distribution, so the average is a poor planning number. Here is how to budget from percentiles and bound the tail instead.
· 8 min read
Why LLMs Hallucinate, and What Actually Reduces It
Hallucination is not a bug that will be patched out. It follows from the training objective and from how we grade models. Here is the mechanism and the mitigations that work.
· 9 min read
Why the Same Prompt Gives You a Different Answer
Temperature zero is not determinism, and a seed is only best effort. Here is where LLM nondeterminism really comes from and how to build around it.
· 9 min readReady to try it?
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