An agent that scores well on your task benchmark can still delete the wrong file, close a ticket it should have escalated, or push a change…
Most teams ship an MCP agent to production the same way they ship a feature: it passed the demo, the tests are green, and someone says "look…
The model at the top of the leaderboard is not necessarily the model you should ship. Leaderboards rank one axis, task score, on someone els…
Public MCP benchmarks cannot tell you whether your agent picks the right tool from your MCP servers. They test generic, fixed toolsets under…
There is no best LLM. There is only the best model for a specific job, measured on your task, through your harness, against your budget. So…
Use a public benchmark to survey the field and shortlist models. Use a private eval to decide what you ship. A benchmark is a shared public…