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Open the working storefront ↗Your site, app, or game has more than one way to work. Dualkind learns which settings, experiences, and moments help each person take the next step.
Adapt layouts, guidance, and the next useful step.
Try the storefront ↗Give your game adjustable challenges and rewards.
Bring your own interactions ↗Let your backend choose whether and when to act.
Explore backend decisions ↗Guidance helps browsing-heavy visitors.
| Visitor context | Detail | Guidance | Prompt | Evidence |
|---|---|---|---|---|
| No observations yet. | ||||
These controls create fictional visitors; your product does not supply their intentions. The learner only sees activity and device signals, then chooses detail, guidance, and prompt settings. Outcomes remain noisy even at 0% unrelated outcomes.
15% of visitors receive random settings and never train the model. Adaptive choices keep 15% exploration. The 95% range compares the full run, including previous scenarios; it does not predict your product’s uplift. Runs stay temporarily in memory and can expire.
Choose when to send an email, push notification, or in-app nudge. User history, consent, and timing shape each decision.
Explore the backend integration ↗Open the working storefront ↗