Agent Evaluation Toolkit — 46 Templates for Golden Datasets, LLM Judges, Human Evaluation, Hallucination Testing, Red Teams & Compliance Evidence

Your system ships on vibes. This pack replaces them with measurement.

The demo always passes. Then production traffic arrives — real users, real edge cases, a model update you didn't make — and quality quietly rots until a customer finds it, usually in public. Agent Evaluation Toolkit is the measurement layer that prevents that: 46 working templates covering the full evaluation discipline — foundations and metrics, golden datasets, benchmark hygiene, LLM-as-judge with validation, human evaluation operations, hallucination testing, red-team grading, guardrail evaluation, production monitoring, and compliance evidence.

Every template is copy-paste ready with the book's tested positions built in: dataset sizes with their confidence intervals (50 ≈ ±14%, 200 ≈ ±7%, 1,000 ≈ ±3%), judge agreement bands (kappa > 0.8 interchangeable, < 0.4 unusable), the 200–400-example anchor set, canary ramps of 1 → 10 → 50 → 100 percent, inter-rater agreement targets, and a practice budget of 5–12% of AI spend. Bracketed fields are yours to fill; the thresholds you don't replace are the defaults the source argues for.

What's inside — 46 templates in 10 sections

1. Evaluation Foundations & Metrics Design (4) — Evaluation Maturity Self-Assessment · Unmeasured-AI Risk & Business-Case Worksheet · Pilot-to-Production Gap Analysis Checklist · Metrics Selection Worksheet & Quick Reference

2. Golden Datasets, Thresholds & the Eval Harness (5) — Golden Dataset Build Specification · Pass/Fail Threshold-Setting Worksheet · Eval Harness Blueprint · Sampling & Statistical Confidence Worksheet · Private Internal Benchmark Build Plan

3. Benchmark Selection & Hygiene (3) — Benchmark Selection Scorecard · Benchmark Reference Sheet — General, RAG & Agent · Benchmark Contamination Audit Checklist

4. LLM-as-Judge & Automated Evaluation (5) — Judge Architecture Selection Worksheet · Reference-Free Judging Protocol · Judge Bias Audit Checklist · Judge Operations Runbook · Judge Validation & Anchor-Set Protocol

5. Human Evaluation Operations (4) — Rater Guidelines & Rubric Template · Rater Recruiting, Training & Calibration Plan · Inter-Rater Agreement Measurement Worksheet · Human Evaluation Operations Plan

6. Hallucination & Factuality Testing (6) — Hallucination Taxonomy & Test-Set Design Sheet · Entailment-Checking Test Protocol · Self-Consistency Testing Protocol · Retrieval-Grounded Verification & Attribution Checklist · Calibration & Multi-Agent Verification Worksheet · Detection-Response Playbook — Abstain, Hedge, Escalate

7. Red-Team Program (4) — Red-Team Charter & Attack Taxonomy · Jailbreak Evaluation Set & Grading Protocol · Red-Team Exercise Grading & Severity Worksheet · Long-Horizon, Indirect & Automated Attack Tests

8. Guardrail, Moderation & Privacy Evaluation (5) — Guardrail System Evaluation Plan · Content Moderation Evaluation Worksheet · Should-Not-Have-Said-That Test Suite · PII & Privacy Evaluation Protocol · Pre-Launch Evaluation Sign-Off Checklist

9. Production Reliability & Incidents (3) — Continuous Evaluation & Drift-Monitoring Plan · Safe Change-Management Protocol · AI Incident Response Runbook

10. Compliance Evidence & the Evaluation Practice (7) — Audit Evidence Pack Template · Framework Evidence Checklist (EU AI Act · SOC 2 · ISO/IEC 42001) · Vendor & Model Assessment Questionnaire · Maturity Self-Assessment Scorecard · Evaluation Team, Roles & Budget Planner · 90-Day Evaluation Practice Plan · Evaluation Readiness Checklist (Capstone)

Thirteen templates extend or pair with foundations in the companion packs — the RAG pack's golden set, harness, judge rubric, and triad items; the MCP pack's deployment gate; the AI Security pack's red-team, guardrail, incident, compliance, vendor, and readiness items. Each is marked in the pack and adds the system-wide evaluation discipline instead of repeating the original. If you already own those packs, this is the layer that tells you whether any of it is working.

Who this is for

AI engineers and platform teams shipping LLM features and agents, QA and evaluation leads building a practice from scratch, and founders who need audit-ready evaluation evidence without hiring a research team first. If your current quality process is "we tried it and it seemed fine," start at Template 1.

What this pack is not

- No datasets are included. The pack teaches you to build YOUR golden dataset from YOUR traffic — a shipped dataset would be contaminated for you on arrival, and the pack says why.

- No fairness or bias-testing methodology. The source book does not develop one, so the pack does not invent one. Dialect and language checks in the moderation worksheet are the extent of the coverage, and they are labeled as such.

- No tool-specific templates. No RAGAS, DeepEval, or promptfoo configurations — the methods here are tool-agnostic and outlive any framework's release cycle.

- No multimodal evaluation and no legal advice. Text-based systems only. The compliance templates assemble evaluation evidence; they are not legal instruments, and the source book states the same of itself.

Companion products

Own the AI Agent Prompt Pack? It holds the evaluation prompts; this pack holds the evaluation systems — datasets, judges, raters, thresholds, and evidence. They are designed to work together and neither repeats the other. The RAG, MCP, and AI Security template packs supply the architecture and defense templates this pack measures.

Note: the $99 Architecture Templates Bundle currently contains Products #1–#3. This toolkit launches standalone; no bundle inclusion is promised.

Built by the author of AI Evaluation & Guardrails, the fifth book of the AI Systems Architecture series, from the evaluation discipline behind production enterprise AI systems.

About the author

Naveen Kumar Josyula is an AI systems architect and the founder & CEO of AISoltrics Technologies Inc., a Delaware C-corporation building enterprise AI, intelligent automation, and cloud-native platforms. He is the author of the AI Systems Architecture book series, including Enterprise AI Agents, RAG Architecture, Model Context Protocol (MCP) Architecture, and AI Evaluation & Guardrails. These templates are distilled from those books and from production AI delivery work — the same worksheets and checklists, in reusable form.

Support promise

If anything in this file is wrong or unclear, email support@aisoltrics.com before you judge it — we fix verified issues within one business day and send you the corrected file free. (You can also reach the founder's office at aadhya@aisoltrics.com.) Updates to this product are free to past buyers via your Payhip library. Sold by AISoltrics Technologies Inc.