PersonalizeAI watches how users actually navigate your product and personalizes the UI in real-time. New users see guided simplicity. Power users get shortcuts. Struggling users get help. All automatic.
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Right now, you're choosing between two bad options: ship a bloated UI that overwhelms new users with options, or invest months building custom experiences for different user segments. Either way, you're guessing. You create personas. You hardcode logic. You A/B test. And by the time you ship, users have already left. The real pain: you can't see what users actually do, so you can't adapt to how they actually think.
PersonalizeAI is a lightweight JavaScript library that runs on your frontend. It tracks real user behavior—clicks, page visits, feature usage, navigation patterns—and builds a behavioral profile for each user automatically. The AI then surfaces personalization recommendations. You define which UI elements can change. The SDK handles everything else. No manual segmentation. No personas. No guessing. Just interfaces that evolve the way your users do.
The SDK detects first-time users and automatically surfaces simplified navigation, guided tooltips, and progressive disclosure. Less friction. Same feature set.
Frequent users see shortcuts, bulk actions, and configuration options moved to primary position. They're not digging through settings anymore.
When the AI detects repeated failed actions or navigation loops, it injects targeted guidance exactly where users need it. You catch problems before they become drop-off.
Instead of coding custom logic for 10 different user archetypes, you integrate PersonalizeAI once and define adaptable UI zones. The SDK does the branching.
The SDK builds behavioral profiles in real-time on the client. You don't need six months of data collection or backend infrastructure before personalization works.
The SDK collects interaction events: clicks, page visits, feature usage, navigation patterns, and engagement signals. No keystroke logging, no session recording. All profiling happens on your backend per your data retention policy. You control what gets stored and how long it stays.
No. The SDK is a drop-in library. You add one script tag and then mark UI zones as adaptable using data attributes. Your existing component structure stays the same. Personalization is an enhancement layer, not a rewrite.
PersonalizeAI works alongside your existing stack. It can read from your analytics events, respect your segmentation, or operate independently. It's built to integrate, not replace.
The SDK starts learning from interaction one. Basic personalization (new vs. returning user patterns) activates within the first session. More nuanced personalization emerges over 2–3 weeks as behavior patterns stabilize.
No. PersonalizeAI ships with pre-trained behavioral models. It detects patterns like 'power user', 'struggling with workflow X', 'churn risk' automatically. You can create custom detection rules via dashboard, but no ML training required.
PersonalizeAI is in closed beta. Join the waitlist and get early access to build interfaces that work for everyone.
No spam, ever. Only updates about this product.