From Question to Data in Minutes: Live Human Feedback for AI
Whatever you're building with AI, at some point you need humans in the loop. Researchers need representative data. AI engineers need preference pairs for fine-tuning. Product teams need real user signal before they ship. Eval teams need ground truth that doesn't come from another model.
The bottleneck is always the same: getting human feedback fast enough to be useful.
This session shows you a faster way. In 10 minutes, we'll run a live human data collection task in front of you - from zero to real responses, no waiting, no research ops team required. You'll see exactly how it works, and leave knowing how to do it yourself.
Speakers:
Adam Winning, Senior Product Manager, Prolific -
Adam has spent over a decade shipping products that put human feedback at the centre from large-scale automation to AI-powered solutions. At Prolific, he has spent the last 3 years leading product development for the tools that connect AI workflows to real human feedback, helping teams move faster without sacrificing quality.
Emilio Noriega Farrés, Senior Product Manager, Prolific -
With a background spanning research, data analytics, consulting, and big tech, Emilio joined Prolific to help build the infrastructure that makes high-quality human data programmable. He is quietly evangelical about the idea that every AI team should have a direct line to real human judgment.
