LLM output QA: hallucination and accuracy checks before launchJigon Yoo
You send LLM outputs - chatbot answers, AI-extracted data, generated summaries or content - together with the source material they should be faithful to. You get back a verdict on every item: verified, incorrect, or unsupported, with the evidence noted line by line.
Nothing is eyeballed. Every claim is checked against the source, numbers are recomputed, citations are resolved one by one, output schemas are validated - and anything that cannot be verified is flagged as unsupported instead of being passed through. Every delivery includes a QA report that says exactly what was checked, what failed, and the failure patterns worth fixing upstream.
Scope ladder (same as my other channels): $100 - up to 200 output items against source, one format. $150 - up to 1,000 items or mixed formats. $250 - a reusable QA rubric plus a regression set you can rerun on every model or prompt change.
If your outputs are bigger or messier than the tier you picked, I say so before we start - not after delivery. Public proof of how I work: github.com/jigonyoo.
Starting at$100
Duration1 week
Tags
AI Engineer
Data Engineer
Service provided by
Jigon Yoo Anyang-si, South Korea
LLM output QA: hallucination and accuracy checks before launchJigon Yoo
Starting at$100
Duration1 week
Tags
AI Engineer
Data Engineer
You send LLM outputs - chatbot answers, AI-extracted data, generated summaries or content - together with the source material they should be faithful to. You get back a verdict on every item: verified, incorrect, or unsupported, with the evidence noted line by line.
Nothing is eyeballed. Every claim is checked against the source, numbers are recomputed, citations are resolved one by one, output schemas are validated - and anything that cannot be verified is flagged as unsupported instead of being passed through. Every delivery includes a QA report that says exactly what was checked, what failed, and the failure patterns worth fixing upstream.
Scope ladder (same as my other channels): $100 - up to 200 output items against source, one format. $150 - up to 1,000 items or mixed formats. $250 - a reusable QA rubric plus a regression set you can rerun on every model or prompt change.
If your outputs are bigger or messier than the tier you picked, I say so before we start - not after delivery. Public proof of how I work: github.com/jigonyoo.
$100