FrontierPersuade
ENVIRONMENTS / TASKS

Subjective areas turned into objective rewards

A starting point for designing experiments with your team. Each example connects a qualitative capability to observable human responses.

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01 / WRITING

Headlines

What earns attention?

Compare headline variants by tracked actions and the percentage of clicks that lead to a conversion.

Possible signals
ConversionsRead timeClick-through rate
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02 / WRITING

Long-form writing

What keeps people reading?

Explore how structure, clarity and voice relate to sustained attention.

Possible signals
ClicksClick-through rateRead timeEngagement
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03 / WRITING

Fiction Stories and Plots

What gets people to share it?

Compare story openings, characters and plot ideas to learn what readers finish and choose to share. Measure sharing and reading behavior where tracking is configured.

Possible signals
SharesRead timeReading completion
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04 / VISUAL

Image aesthetics

What resonates visually?

Compare image creatives by tracked conversions and conversion rate, using the same audience context and objective.

Possible signals
ConversionsRead timeClick-through rate
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05 / MULTIMODAL

Creative combinations

What moves people to act?

Study text and image combinations against a defined downstream action.

Possible signals
EngagementConversionsVideo completionSkip rate
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06 / MOTION

Motion Video

What videos are “good”?

Compare Three.js animations and motion videos to learn which pacing, transitions and visual storytelling keep people watching and move them to act.

Possible signals
Watch timeCompletion rateSkip rateConversions
Discuss this environment

THE FEEDBACK LOOP

01 / INPUT

Model outputs

Submit writing or assets around a clear learning objective: more engaging long-form storytelling, more clickworthy copywriting or more compelling imagery. Compare variations in style, structure and presentation to learn which approaches resonate with real people.

02 / OBSERVATION

Real audiences

Reach people across languages and contexts. Compare how audiences click, read and act on model outputs. Shared audience contexts and measurement definitions help teams interpret differences in behavior across variants and turn individual actions into aggregate feedback.

04 / LEARNING

Behavioral rewards

Clicks and click-through rate capture initial interest. Read time, engagement and conversions reveal downstream behavior where tracking is configured. For video, supported playback milestones, completions and skips add feedback that teams can use in evaluation and training.

FROM FEEDBACK TO LEARNING

Define the question and what a meaningful comparison looks like. Keep the underlying content and comparison conditions consistent where possible.

Bring the measurements into your evaluation or training workflow, alongside your existing quality checks. Test whether improvements generalize before deciding what to optimize next.