Automatic browser testing for product teams

Keep checking the journeys your customers take.

Actionairy finds your public product website and journeys from company context and authorized repository evidence. It checks desktop and mobile browser layouts regularly, then brings reproduced failures into Work with evidence and a proposed fix.

Open automatic Product checks →Sign in or create an account. New accounts finish company setup, then return to Product checks. Existing company context is reused.

From product context to reviewable work

01 · Discover

Start with context you already have.

A saved company website, repository homepage, or an explicit product deployment reference can identify the public product. If context is missing or ambiguous, Actionairy shows that state. Custom journeys are optional.

02 · Check

Cover desktop and mobile daily.

Up to three automatic journeys run every 12 hours, staggered four hours apart and alternating layouts. Manual runs share the account allowance. You can inspect the next check, pause coverage, or customize a checkpoint.

03 · Review

Inspect what actually failed.

A product failure must recur in a fresh browser session. Reproduction steps, private screenshots, and a fix brief can become proposed Work. You approve implementation and release.

First-party observation · October 14, 2026

A public trust-page journey, checked on two layouts.

The normal production queue completed the trust-information goal at 1280 × 800 and 390 × 844 in separate fresh sessions. A separate deliberate 404 reproduced twice and created proposed Work. These observations qualify the bounded check and failure paths; they are not a customer incident or reliability benchmark.

Inspect the dated results and adaptable cases →
Dated first-party trust-page results: desktop and mobile passed; a separate deliberate 404 was reproduced twice.

What the checks cover

Fresh-session public HTTPS browser journeys. Authenticated product journeys and automation of installed native apps are outside this scope. An observed heading is a learned checkpoint; a changed heading alone does not establish a defect. Capacity failures and blocked requests remain visible as incomplete results.

Product checks are part of a wider AI product and engineering teammate: source-linked research, revisioned value assessments, private voice conversations, and review and repair of approved changes.

Explore the broader product and current proof →