The Real Cost of Building Agent Eval Infrastructure
Writing a basic eval is easy. The work grows when you want to evaluate a multi-turn agent repeatedly and reliably across environments.
Engineering & Research
Technical notes on agent evals, simulations, telemetry, and reliability.
How Coding Agents Build Better AI Agent Evaluations
A coding agent already understands your tools, prompts, policies, and application structure. Halios turns that context into a practical workflow for creating and maintaining agent evals.
AI Agent Evals from Local Development to CI and Production
Use one evaluation model across local iteration, pull-request quality gates, and production behavior instead of maintaining three disconnected testing systems.
Why Halios Uses Scenarios Instead of Eval Datasets
Most evaluation tools start with a dataset. Why Halios makes scenarios the primary unit of evaluation for multi-turn AI agents.
Why AI Agent Evals Belong in Your Git Repository
Keeping test scenarios and checks alongside your agent's code gives coding agents context, streamlines PR reviews, and avoids dashboard silos.
OpenTelemetry for Portable AI Agent Evaluation Traces
Why proprietary eval SDKs are technical debt, and how standard OpenTelemetry GenAI traces give you portable agent evaluations without lock-in.
How to Build a Continual AI Agent Improvement Loop
How to turn agent evaluations from a passive dashboard metric into an active coding loop with your coding agent and CI.