AI model evaluation with human judgment.
Compare AI models, prompts, checkpoints, and generation settings with human feedback across text, image, audio, and video. Turn pairwise choices or scores into confidence you can inspect.
Start freeHuman evaluation, controlled.
Automated tests measure what software can count. Human evaluation measures clarity, naturalness, usefulness, preference, and task fit. HeyBee turns that judgment into a product decision you can inspect.
- Compare
- AI models, prompts, checkpoints, generation settings, and complete workflows on the same inputs.
- Judge
- Use pairwise A/B choices or numeric scores across text, image, audio, or video outputs.
- Decide
- See the leader, rankings, confidence, vote count, input coverage, reliability, notes, and raw evidence.
Pairwise comparison.
Show each reviewer two AI outputs made from the same input. They choose A, B, tie, both bad, or cannot tell.
The same method supports multimodal AI evaluation. HeyBee randomizes pair order and can require weighted criteria, viewing time, media playback, or a written reason.
Text
Accuracy, clarity, tone, usefulness
Shared prompt and written rationale
Image
Composition, detail, style, prompt adherence
Minimum viewing time
Audio
Naturalness, clarity, prosody, preference
Minimum playback percent
Video
Motion, consistency, detail, prompt adherence
Playback and viewing time
Preference becomes signal.
Keep every output linked to the model, workflow, and exact generation settings that made it. Compare configurations or export reproducible preference data for RLHF and DPO.
AI parameter optimization
Compare configurations, recommend a setting, and show decision confidence with parameter evidence marked Solid, Likely, or Tentative.
RLHF and DPO preference data
Collect pairwise preferences or scores, keep the comparison context and round policy, record exclusions, and export the evidence to your training system.
AI evaluation, answered.
The short answers to common questions about human evaluation and preference data.
Start freeWhat can I compare in HeyBee?
You can compare AI models, prompts, checkpoints, generation settings, or complete workflows. One evaluation uses text, image, audio, or video outputs.
What is the difference between pairwise voting and scoring?
Pairwise voting asks which of two matched outputs is better. Voters can also choose tie, both bad, or cannot tell. Scoring gives each output an absolute numeric rating.
Does human evaluation replace automated evaluation?
No. Use automated tests for properties that software can measure. Use human judgment for subjective quality, taste, clarity, naturalness, preference, and task fit.
Can HeyBee optimize AI generation settings?
Yes. HeyBee keeps each output linked to its model, workflow, and exact parameters. Results can recommend a configuration and mark parameter evidence as Solid, Likely, or Tentative.
Does HeyBee train models for RLHF?
No. HeyBee collects, reviews, and exports preference evidence for RLHF or DPO. Your training system uses that data to train the model.
How does HeyBee keep AI output comparisons fair?
Outputs compete only when they share the same input. Pair order is randomized, duplicate submissions are ignored, and an evaluation can require viewing time, media playback, or a written reason.