agent-comparison

To compare agent variants, you run identical benchmarks across two-tier tasks using identical prompts. This measures code quality and total session token cost, generating a final report that highlights bug findings and token economics.

Measuring total session token cost involves tracking prompt, reasoning, tool, and retry tokens during controlled benchmarks. This approach quantifies the complete token economics of agent variants to guide production deployment decisions.

Testing agent variants for race detection and error handling requires running controlled benchmarks that satisfy production-grade criteria. The process applies domain-specific grading rubrics to evaluate both simple and complex task variants systematically.

Yes, you can evaluate two agent variants by applying identical prompts to two-tier tasks consisting of both simple and complex scenarios. This controlled benchmarking ensures a fair comparison of quality and token cost across different difficulty levels.

Generating an evidence-backed report requires completing four phases in order: Prepare, Benchmark, Grade, and Report. This structured process uses domain-specific grading rubrics to document production-impacting differences, bugs, and token economics.