Toolkit / Roles / Evaluator
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AI Agent Evaluator

Owns quality — eval suites, red-teaming, performance baselines, and launch gates

Stage 1: Justify & Scope Stage 4: Build & Integrate Stage 5: Gate & Launch ★
3
Total Tools
1
Available Now
3
Active Stages
5
Primary Stage

This role is for you if...

✓ You're the person who says 'show me the eval results' when someone claims their agent is ready to ship
✓ You've caught regressions that would have reached production because you built the test suite that no one else wanted to write
✓ You believe that if you can't measure it, you can't ship it — and 'it looks good in the demo' is not a measurement
✓ You think about edge cases and adversarial inputs before you think about happy paths
Why This Role Exists The Evaluator gives teams confidence to ship — and confidence to block. Without systematic evaluation, organizations either over-ship (and break things) or under-ship (and lose momentum). This role provides the evidence that drives launch decisions.

Where You Operate in the Lifecycle

The AI Agent Evaluator is active in 3 of 6 lifecycle stages. The highlighted stage is your primary domain.

1
Justify & Scope
→
2
Architect & Select
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3
Govern & Secure
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4
Build & Integrate
→
5
Gate & Launch
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6
Operate & Improve
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Core Responsibilities

The AI Agent Evaluator defines what 'good' looks like and builds the systems to measure it. They create evaluation suites, run red-teaming exercises, establish performance baselines, and own the launch gate that decides whether an agent is ready for production. Without this role, teams ship agents based on vibes instead of evidence.

What You Own

Evaluation framework design
Red-teaming & adversarial testing
Baseline KPI definition & measurement
Regression testing for agent behavior
Launch gate criteria definition
A/B testing and canary analysis

What You Produce

Evaluation suites with task-specific test cases
Red-teaming scenarios and adversarial test libraries
Baseline KPI definitions and measurement frameworks
Launch gate checklists with quantitative thresholds
Regression test suites for prompt and model updates

What Breaks Without This Role

These failure modes go unaddressed when the AI Agent Evaluator is absent or underpowered.

FAILURE MODE 1
No objective measure of whether an agent is 'good enough' to ship
FAILURE MODE 2
Agent behavior regresses after prompt or model updates with no detection
FAILURE MODE 3
Red-teaming is ad-hoc or skipped entirely
FAILURE MODE 4
Launch decisions are based on demos, not systematic evaluation
FAILURE MODE 5
No baseline metrics to detect production performance drift

Your Toolkit

3 tools across the lifecycle — 1 available now, the rest coming soon.

1 Justify & Scope 1 tools
AI Agent Design Principles Checklist
Architecture pre-flight checklist covering reliability safeguards, operational readiness, governance alignment, and core design choices — 95 checkpoints across 12 domains.
Available Checklist
4 Build & Integrate 1 tools
Eval & Testing Framework
Test suite templates, baseline KPI definitions, red-teaming scenarios, and regression testing for agent behavior.
Coming Soon Playbook
5 Gate & Launch 1 tools
Launch Gate Checklist
The 7 non-negotiable AgentOps items as a go/no-go gate before production deployment.
Coming Soon Playbook

Best Practices

Hard-won lessons for the AI Agent Evaluator. Follow these and skip the expensive mistakes.

1 Define your eval suite before you start building — what you measure shapes what you build
2 Red-team every agent with adversarial inputs, not just the inputs you expect from friendly users
3 Establish baselines early so you can detect regression — a 5% accuracy drop means nothing without a baseline
4 Run evals on every prompt change, every model update, every tool modification — regressions are silent
5 Make the launch gate quantitative: 'pass rate above X% on Y test cases' not 'looks good to the team'
6 Build evaluation into CI/CD, not as a manual step someone remembers to do before a release

More Resources Coming

This role page is the beginning. Here's what's planned for the AI Agent Evaluator:

🎓 Learning Path Curated training, courses, and certifications for this role
💼 Use Cases Real-world scenarios where this role drives outcomes
📖 Book Chapters Chapters in The Agentic Enterprise Strategy relevant to this role
🤝 Role Interactions How this role collaborates with and hands off to the other five roles

See all tools in context

View the complete 28-tool lifecycle and filter by Evaluator to see where your tools sit in the bigger picture.

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