The human tasteengine for AI

HeyBee captures and leverages what no benchmark or AI judge can: human taste, preference, and intuition.

A
GPT-4

“Hello! How can I assist you today?”

vs
B
Claude

“Greetings! I’m here to help with whatever you need.”

Results
Winner · B
B
Claude
0%
A
GPT-4
0%
P-VALUE
0.003
CONFIDENCE
99.7%
VOTES
1,247

Subjective qualitystill needs controls.

From raw outputsto defensible decisions.

STEP 01 · UPLOAD
Drop your outputs in.
STUDY · #2026-04
.TXT
.IMG
.WAV
TEXT · IMAGE · AUDIO
STEP 02 · QUEUE
We pick the most informative pairs.
COMPARISON QUEUEBY UNCERTAINTY
01
voiceA.wavvsvoiceB.wav
0%
02
voiceB.wavvsvoiceC.wav
0%
03
voiceA.wavvsvoiceD.wav
0%
ADAPTIVE GRAPH
ABCD
uncertain pairs rise first
STEP 03 · VOTES
Humans vote, signal compounds.
VOTES RECEIVED
032 RATERS

Know what wins. Then make it win more.

HeyBee collects human feedback on the outputs of your AI model or workflow. On their own the votes are noisy; in aggregate they compound into a statistically significant signal you can act on with confidence.

And the loop can stay open, so HeyBee steers your inference parameters or drives online training as people keep voting, a compounding reward loop.

  • Benchmark models, prompts, and checkpoints
  • Optimize inference parameters online, as votes arrive
  • Run RLHF live: collect, train, and keep voting round after round

Ready to evaluate AI the human way?