BRIDGE
LABS
Product thinking.
Engineering depth.
Built in the lab / 04  —  Autonomy QA

A second pair of eyes
for every release.

AI agents test real user journeys across web, iOS, Android, APIs, email and SMS, and prove every step with evidence before it passes.

Fig. 04 / Quality engineeringRuns start from GitHub, Vercel, Expo EAS, coding agents or the dashboard, are checked step by step, and test web, iOS, Android, API, email and SMSGITHUBVERCELEXPO EASCODING AGENTSDASHBOARDWEBIOSANDROIDAPIEMAILSMSEVIDENCE TRACEAUTONOMY QA01 START RUNS FROM02 EVERY STEP, PROVEN03 TESTS ON
Autonomy QA home page
Disciplines
ProductAIPlatform
Starting point
Scripted tests break when a button is renamed, and manual QA cannot keep up with weekly releases. Teams need checks that follow a journey the way a customer does.
The product work
An agent reads the live screen and works toward each checkpoint. An independent review approves every target, each checkpoint passes only on fresh evidence, and diagnosis names the cause when something fails.
The experience

One order.
Four checkpoints.

Ship with confidence, backed by evidence.

Every channel in one journey

Follow a checkout from the browser, through the API and the inbox, and back to the phone.

No proof, no pass

Each checkpoint is sealed only by evidence observed after the action it checks.

Failures that explain themselves

Diagnosis separates app bugs from flaky tests, environment issues and test errors.

A Bridge Labs product. Screens are captured from the public site; the checkout shown is illustrative example data.Visit Autonomy QA
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