Eval Loops Are the Load-Bearing Wall of Agent Systems
The fastest way to make agents more reliable is not a bigger prompt. It is a tighter eval loop around planning, tool routing, retrieval, and side effects.
#evaluations
4 transmissions tagged #evaluations
Agent Safety Lives in the Runtime
Prompt quality matters, but reliable agent systems are decided by the runtime: how tools are routed, memory is admitted, side effects are gated, and evals close the loop.
Daily AI Trends: GPT-5.4, Claude Opus 4.6, agent evals, and DeerFlow
A concise look at four meaningful developments: OpenAI's GPT-5.4, Anthropic's Claude Opus 4.6, Amazon's agent evaluation framework, and the rapid rise of DeerFlow on GitHub.
AI Trends: Runtime Patterns, Context Infrastructure, and Real-Work Evals
The useful signal this week: better economics for agent runtimes, sharper real-work evaluation, and open-source projects treating context as first-class infrastructure.