Agent-as-Judge: Stop Guessing If Your AI Agent Is Good — Measure It

The Vibes Problem

"How's the agent doing?" Your team shrugs. "Seems fine. Users aren't complaining." That's not a quality metric. That's a prayer.

Manual QA — reading transcripts, scoring conversations, filling spreadsheets — works when you handle 50 conversations a week. It collapses at 500. It's impossible at 5,000. And most teams stop doing it entirely once the initial launch excitement fades.

thinnestAI's Agent-as-Judge system replaces manual QA with automated, LLM-powered evaluation that scales to any volume.

How It Works

• Judge Agent: A dedicated LLM (configurable model) reads the conversation and produces scores against your criteria
• Default Criteria: Helpfulness (0–10), Accuracy (0–10), Tone (0–10), Instruction Following (pass/fail)
• Custom Criteria: Add your own — "Did the agent attempt an upsell?", "Was the disclaimer included?", "Was PII handled correctly?"
• Reasoning: Every score includes a text explanation — you know why the agent scored low, not just that it did

thinnestAI vs. Competitors: Agent Evaluation

Capability	thinnestAI	LangSmith	Braintrust	Arize Phoenix
Built-in LLM judge	Yes — zero-config	Yes — requires setup	Yes — requires setup	Yes — requires setup
Custom criteria	Yes — visual UI	Yes — code	Yes — code	Yes — code
No-code evaluation	Full visual panel — click to evaluate	No — Python SDK required	No — SDK required	No — SDK required
Integrated with learning	Yes — low scores suggest learnings to capture	No	No	No
Included in platform	Yes — all plans	Separate product	Separate product	Separate product

The Continuous Improvement Loop

Evaluations don't just measure quality — they drive improvement when combined with the Learning System:

1. Evaluate: Run batch evaluation on last week's conversations
2. Identify: Find criteria where scores are consistently low
3. Learn: Read the judge's reasoning and capture a learning from the insight
4. Improve: The learning is automatically applied to future conversations
5. Re-evaluate: Run another batch and verify improvement

This is automated, data-driven agent improvement. Not "let's tweak the prompt and hope."

Evaluation Dashboard

• Score overview: Average scores with trend visualization
• Distribution chart: See how scores cluster — are you consistently good or wildly inconsistent?
• Per-criteria breakdown: Which criteria are strong, which need attention
• Expandable cards: Click any evaluation to see the full judge reasoning

Get Started

Evaluations are available on all plans. Run your first evaluation in 30 seconds — select an agent, choose a conversation, click Evaluate.

Evaluate Your Agent Free →

No credit card required • Default + custom criteria • Automated quality