Adversarial AI Evaluation & Workflow Stress-Testing

We expose what they don't show in the demo.

AutoLayered is an automated benchmarking harness powered by Anthropic Claude. We run thousands of adversarial prompts, citation entailment checks, and webhook fault injections to measure where AI tools and agentic pipelines break in production.

Explore Live Benchmarks Inspect the Claude Eval Engine →

LLM-as-a-Judge Benchmarks Citation Entailment Audits Webhook Fault Injection Anthropic Batch API Harness Prompt Caching Telemetry Real Production Telemetry LLM-as-a-Judge Benchmarks Citation Entailment Audits Webhook Fault Injection Anthropic Batch API Harness Prompt Caching Telemetry Real Production Telemetry

Production Telemetry

Published Evaluation Runs

● 3 Datasets Published

Business X-Ray LIVE REPORT

Unit Economics X-Ray: The True Margin of AI Automation Workflows

Token cost modeling, context-window bloat, and Prompt Caching ROI across 500,000 production agent runs.

76% Cost Reduction via Prompt Caching Oct 23, 2026

Automation Autopsy LIVE REPORT

Make.com in Production: Silent Webhook Drops & JSON Schema Drift

An automated stress-test autopsy of 10,000 webhook payloads across multi-step Make.com AI scenarios under rate-limit and malformed JSON conditions.

10,000 Payloads · 4.7% Silent Failure Rate Oct 19, 2026

AI Teardown LIVE REPORT

Perplexity AI Source Accuracy: 200-Query Adversarial Benchmark

We ran 200 adversarial queries through our Claude-powered citation verifier to map where Perplexity AI hallucinated or misattributed sources.

61.4% Niche Accuracy · 23.0% Citation Drift Oct 14, 2026

Core Platform Architecture

The AutoLayered Eval Engine — Built on Anthropic Claude

Manual software reviews only test happy-path demos. AutoLayered's evaluation engine uses Claude Sonnet & Haiku via the Anthropic Batch API with Prompt Caching to execute large-scale, deterministic stress tests across three diagnostic layers:

01 Citation Entailment Judge: Verifies whether RAG outputs are genuinely supported by their cited source DOMs.
02 Webhook & Schema Chaos Testing: Injects malformed JSON and rate-limit spikes into Make, n8n, and agent pipelines.
03 Token & Cache Telemetry: Models multi-turn context window costs and ephemeral cache hit rates before production deployment.

Request Sandbox Access

Submit your AI tool or workflow stack for an automated evaluation run or request early API access.

Diagnostic Modules

Cluster 01

AI Tool Teardowns

Adversarial LLM-as-a-Judge benchmarks testing source entailment, failure modes, and latency.

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Cluster 02

Automation Autopsies

Chaos testing and schema validation across multi-step webhook and agentic pipelines.

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Cluster 03

Business Model X-Rays

Token telemetry, prompt caching efficiency, and unit economics modeling at scale.

Browse X-Rays →