How the AutoLayered Claude Eval Harness Works
Evaluation Architecture & Methodology
AutoLayered (developed by BNR-TECH LLC) is an AI evaluation and automation stress-testing platform built on the Anthropic Claude API.
1. Adversarial LLM-as-a-Judge Pipeline
We utilize Claude Sonnet and Claude Haiku via the Anthropic Batch API to evaluate RAG citation entailment, schema adherence, and multi-turn reasoning stability across commercial AI tools.
2. Prompt Caching & Unit Economics
By structuring static evaluation rubrics and target DOM snapshots behind ephemeral cache breakpoints, our evaluation harness processes 10,000+ test cases per benchmark run at up to 80% lower token cost.