Stop Spot-Checking. Start Scoring Every Single Conversation.
Testing Conversations
Manual QA is impossible at scale.You can't read every log, but AgentBrains can. We provide a robust testing engine that automatically grades 100% of your conversations—whether they are with real customers or Synthetic Users—giving you a definitive quality score for every interaction.
Instant Visibility. Granular Detail
The "One Score" System
We distill complex agent behaviors into a single, actionable metric.
01
The Aggregate Score
01
The Aggregate Score
In your Inbox, every conversation is tagged with a color-coded Aggregate Quality Score (e.g., 82%). You don't need to read the chat to know if it went well. If you see a "30%," you know immediately that attention is required.
02
The Detailed Breakdown
02
The Detailed Breakdown
Click on the score to expand the report. See exactly why the agent received that grade based on your specific criteria:
Resolution: Did it solve the user's problem? (Score: 10/10)Tone: Was the agent empathetic? (Score: 8/10)Compliance: Did it mention the liability disclaimer? (Score: 0/10) - FAILSales: Did it attempt the upsell? (Score: 5/10)Define Your Own "Definition of Done"
Every agent has a different job. Your testing rubrics should reflect that.
For Sales Agents
For Customer Support
Time.
For Compliance
Data Privacy.
Unified Testing for Synthetic & Real Users
The exact same scoring engine powers your entire development lifecycle.
Validation (Synthetic Users)
Before you launch, run your agent against our Synthetic Users. If your "Refund Agent" gets a low score when talking to a "Synthetic Angry Customer," you catch the bug in the lab—not in front of a live client.
Monitoring (Real Humans)
agent maintains its quality standards in the wild.
From "Data" to "Better Agents"
The Feedback Loop
Scores aren't just for looking at; they are for learning. We aggregate individual conversation scores into high-level Analytics dashboards.
Identify Weaknesses
Filter your analytics to see the lowest-scoring category.
Example: You notice your "Ticket Completion" score has dropped to 40% over the last 100 conversations.
Drill Down
Click into those failed conversations to read the transcripts. You realize the agent is failing to ask for the "Order Number."
Fix & Verify
Update your System Prompt or Knowledge Base to correct the behavior
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Re-Test
Run a Synthetic User batch to confirm the score has gone back up.
Don't Guess. Know.
Building an agent is easy. Knowing if it actually works is hard. Turn on AgentBrains Testing and get the metrics you need to build production-grade AI.
