AI experiments that ship as pull requests

Less time on A/B testing
More time on building

Trevo finds it, writes the experiment as a pull request, and measures what wins. You review, merge, and ship. Every week.

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10×
more experiments shipped
< 30 min
from idea to live test
> 30%
of tests win, significantly
One experiment, start to finishacme.com
  1. Trevo spots an opportunity
    Most visitors give up on mobile checkout
  2. It builds the experiment for you
    A faster one-tap checkout, your engineers review & approve
  3. Runs as a live test
    Shown to half your visitors, measured automatically
  4. You get a clear winner
    19% more checkoutsshipped to everyone
How it works

Every change ships as a pull request.

Trevo finds the opportunity, writes the experiment, and opens a PR. You review and merge, like any other change. That is the whole loop, and nothing is a black box.

experiment/one-tap-checkoutOpen
// Checkout.tsx
-<CheckoutForm steps={3} />
+<OneTapCheckout variant="trevo/exp-142" />
+// hypothesis: fewer steps → more completions
// trevo.config.ts
+traffic: 0.5, metric: "checkout_complete"
Build & preview deploypassed
Trevo checks — compiles, gated behind a flagpassed
Reviewed by your teamMerge pull request

Nothing your CI didn't approve

Trevo opens the PR; your pipeline builds it, your tests run, your team approves the merge. No script tags rewriting your page at runtime.

Winners become permanent

When the result is in, Trevo opens the cleanup PR: losing branches removed, the winner promoted to plain code — or everything reverted. Your codebase stays honest.

Frontend todayRoadmap

Because Trevo ships through pull requests, not client-side scripts, the same loop can extend to backend, pricing, and product logic. Full stack is where this goes.

Impact

Merges into wins.

Every experiment runs against a holdout. Losing variants get reverted; winners climb until significance, then ship to everyone.

Winning variant (+19%)Holdoutexperiment/one-tap-checkout
vs the old stack

Others are tools.
Trevo is an agent.

Others
Trevo
Hypothesis generation
You write it manually
AI generates, ranked by impact
Variant creation
You write copy & config
Trevo writes variants for you
Test setup
Configure manually
One-click, or fully auto
Results interpretation
Read the dashboard
Summarized & next-step recommended
Autonomy
Tool · human-driven
Agent · human-approved or auto
An autonomous agent

It works between your visits. You stay in command.

Trevo runs the whole experiment loop on its own. You review the pull requests and decide what ships.

Why Trevo

Tools give you charts. Trevo gives you wins.

  1. 01

    Real code, not config

    Every experiment is a pull request in your own repo, reviewed and merged like any other change. No visual editor, no script tag rewriting your DOM.

    +src/checkout/SimpleCheckout.tsx
    ~src/checkout/CheckoutCta.tsx
    ~trevo.config.ts
    in your own repository
  2. 02

    You stay in control

    Nothing ships until you approve it. Trevo proposes the experiment and writes the code; your team reviews the PR and decides what merges.

    trevo-bot → main✓ 2 approvals
    Merge pull request
  3. 03

    Stats you can trust

    Always-valid results (mSPRT) tell you plainly what won, what lost, and what to try next. Peek anytime without breaking the math. No analyst required.

    control18.2%
    variant21.3%
    ▲ significantp = 0.04
  4. 04

    Live in minutes

    A one-time setup PR installs the SDK and wires it up. No new events to define, no data warehouse project. You are running experiments the same day.

    chore: add Trevo SDK
    one-time setup PR · ~10 min

Your next win is one pull request away.

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