Agent · test · agent

Which customers your agent wins. And which it loses.

A single success rate answers everything but the question that matters: which ones? quots builds company-specific synthetic personas from your real conversations and runs them against your agent. See where your live agent struggles by segment, and rehearse a new version before you deploy.

Built from your own conversation data, never generic benchmarks.
Persona map · 1,284 conversations wins35 segments
No surprises
  • Works with any model or framework
  • Your data stays in Europe (Frankfurt)
  • Never trains on your data

A single rate hides where your agent struggles.

A single success rate collapses your strongest and weakest customers into one number. The people quietly giving up on your agent are buried inside it, and no dashboard will ever name them.

“Our agent is 56% good” isn't an answer. 56% of whom?

56% overall6 segments · 1 winning

Our stance

The average customer doesn't exist. Yours do.

A recurring conversation failure in one segment reaches more customers as you scale. quots shows which segments your agent wins and struggles with today, and why. You fix the conversation, not the dashboard.

Power users+24%
Concise and tool-savvy; the agent nails multi-step asks.

Personas from your data. Agents tested by agents.

quots learns who your customers actually are from real conversations, then has each persona talk to your agent at a scale no human QA team could reach.

Persona agent
built from real chats
Your agent
live or candidate
  1. 01

    Cluster real conversations

    We read your chat history and group it into the personas that genuinely exist in your base, not the ones someone guessed in a workshop.

  2. 02

    Run agent-test-agent

    Each persona becomes an agent with its own goals, mood and breaking points. It interrogates your agent for thousands of turns, around the clock.

  3. 03

    Score by segment

    Every run is graded per persona. You see which segments win, which lose, and the exact conversation behind each verdict.

Audit the agent you've shipped. Rehearse the one you haven't.

On live agents

Audit the agent already serving customers.

Point quots at the agent serving customers today. Within hours you see which segments it wins, where it loses trust, and the conversation behind each verdict.

0 / 10,000 runs
persona agents probing your live agent
Before deploy

Rehearse the version you haven't shipped.

Try a new prompt, model or setup against the same personas before a single real customer meets it. Ship the version that wins more segments, not the one that demoed well.

v4 candidatev3.1 live

What we believe

Three rules we won't break.

01

Names, not numbers.

The report says which segments and why, never a single blended score.

02

Your data, your personas.

Personas come from your real conversations, not a generic benchmark.

03

Rehearse, don't gamble.

Test the agent against them before a single customer does.

Fair questions.

The short version. The rest, we'll walk you through.

From a sample evaluation

35
customer segments surfaced per run
10k+
simulated turns against your agent
<1d
from raw data to segment scorecard
0
real customers put at risk
win 46%
hold 34%
risk 20%
winning · 591 holding · 437 at risk · 256

See which customers you're losing.

Book a walkthrough on your own agent, or start from a sample persona set. During the pilot, your data never leaves Europe and is never stored raw.

Replaces shallow benchmarks with segment-level truth.