Co-founder · Infrastructure & data
Toprak Necat Gök
Lived this problem first-hand, building eval for a WhatsApp booking agent at scale. Owns the data pipeline, clustering, and the cloud underneath quots.
toprak@quots.co
Who we are
Before quots, we were on the other side of this problem. Building the eval stack for a WhatsApp booking agent meant six prompt versions, more than 150 test scenarios, and a faithfulness score of 0.78 that never said which conversation broke, or why.
So we built the tool we wanted back then: personas drawn from your real conversations, graded one segment at a time, with the exact chat behind every verdict.
The team
Co-founder · Infrastructure & data
Lived this problem first-hand, building eval for a WhatsApp booking agent at scale. Owns the data pipeline, clustering, and the cloud underneath quots.
toprak@quots.co
Co-founder · Product & design
Turns raw conversation data into personas you can read and a report you can act on. Owns the product experience end to end.
tunahan@quots.co
Before quots, we shipped the 0.78 that lied to us. Read the full story
What we believe
The report says which segments and why, never a single blended score.
Personas come from your real conversations, not a generic benchmark.
Test the agent against them before a single customer does.
Get in touch
A real reply, usually within one business day. Tell us about your agent and the customers you can't yet see.
General
info.quotsai@gmail.comDirect to a founder