How product teams use Lovelaice to turn live AI products into measured, reliable systems — with the deliverables and timelines that made it possible.
We came into a live AI feature without a quality measurement baseline, alongside a list of improvements that had sat on the roadmap for months. We delivered measurable quality uplift on the model they were already running.
A sustainability-tech team had a live AI screening agent that all five top-tier model providers failed equally. They shipped a production-ready agent on GPT-5 Mini at 93% accuracy — on a cheaper model than any earlier attempt.
A healthtech team had a validated golden set, reviewed by an expert and checked case by case. When we ran it systematically across models, a consistent bias surfaced — one the team wasn’t looking for, and would never have found one recommendation at a time.
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