LLM-powered website experimentation

Tina watches your website, creates experiments, and tells you what won.

Install one script tag and let an LLM turn engagement signals into controlled tests. Tina proposes the change, ships the variant, measures the goal, and reports whether it beat the control.

LLM-generated variants
Universal script tag
Automated lift reports

Autonomous experiment report

LLM-created hero CTA test

Improved
Control conversion4.2%
Variant conversion5.6%
Lift+33.3%

Tina automation

The LLM found high hero engagement, changed the CTA copy for 50% of visitors, and evaluated conversions against your goal.

Built for teams that want an experiment agent, not another chart graveyard.

Tina combines analytics, event context, LLM reasoning, snippet-delivered variants, and automated evaluation so site owners can keep improving.

See every meaningful interaction

Track page views, clicks, forms, scroll depth, rage clicks, sessions, devices, and visitor paths from one script tag.

Capture context when it matters

Use masked snapshots by default and enable screenshots only where your team explicitly wants visual evidence.

Let the LLM design the next test

Tina reads engagement patterns and masked page context, then creates a runnable experiment with a hypothesis, metric, and variant.

Evaluate winners automatically

Control and variant assignments are measured against your goals so Tina can call wins, losses, or inconclusive tests.

1

Install

Paste the Tina script tag into any website, CMS, storefront, or GTM container.

2

Automate

Tina feeds engagement data and masked context to an LLM that creates the next runnable experiment.

3

Evaluate

The SDK assigns visitors to control or variant and Tina calculates lift against your goal.

Privacy controls are part of the product.

The MVP defaults to masked snapshots. Screenshot capture is opt-in by site, and sensitive inputs are never needed for engagement analysis.

Respect Do Not Track
Mask text fields
Per-site screenshot toggle
Small event batches

The LLM does the experiment busywork.

Tina summarizes recent events, goals, clicks, rage clicks, scroll depth, and masked captures. Then it asks the model for a safe test your script can actually run.

Find

Detects friction and opportunity from behavior data.

Create

Writes a hypothesis, target metric, selector, and variant change.

Ship

Serves text, style, visibility, or redirect variants through the SDK.

Call

Evaluates control vs variant and marks improved, worsened, or inconclusive.

Start with one site. Let Tina run the next test.

Create your first tracked site and automate experiment creation and evaluation.

Start tracking