
Co-founder · Infrastructure & data
Toprak Necat Gök
Lived this problem first-hand, building eval for a WhatsApp booking agent. Owns the data pipeline, clustering, and the cloud underneath sparr.
Who we are
Before sparr, we were on the other side of this problem. Building the eval stack for a WhatsApp booking agent meant nine prompt versions, more than 150 test scenarios, hundreds of reviewed conversations, 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. Owns the data pipeline, clustering, and the cloud underneath sparr.

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, and builds our iOS apps.
Before sparr, 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 from a person. Tell us about your agent and the customers you can't yet see.
General
[email protected]Direct to a founder