SureShip is an AI agent. It watches how real users move through your app, creates test cases from that behavior, and executes them automatically on every push. As your product evolves, the agent learns new flows and keeps itself current — no human involvement required.
No audits. No kickoff project. No documentation archeology. Just install and let SureShip learn.
Real metrics from Wave, our production app — the first product running on SureShip.
Add a lightweight JS snippet to your app. One line. Takes 2 minutes.
SureShip watches real user sessions and maps every critical journey through your product — automatically.
The AI agent creates test cases from what it learned and executes them — running as a Docker container in your CI/CD pipeline on every push.
As your product ships new flows, the agent detects them, creates new test cases, and keeps itself current. Fully autonomous.
Your designer renamed a button. Five tests broke. You spent Friday fixing selectors instead of shipping.
Engineers re-run the failed CI build three times, hoping it magically goes green. It does. Nobody knows why.
There's a test file nobody's touched in 14 months. Everyone's afraid to delete it. Nobody knows what it covers.
A customer found the bug. Your tests didn't. Slack at 11pm Friday. "How did this get through?"
Your CI run takes 47 minutes. Every push. Developers open Twitter and forget what they were deploying.
Engineers are quietly merging PRs without waiting for tests to finish. The badge is just decoration now.
You paid an agency $60K for a Playwright suite. Six months later it's broken, unmaintained, and nobody owns it.
You shipped a new onboarding flow. Half your regression tests now fail because a modal changed. Update cycle starts again.
We know because we lived it. Before SureShip, our own product had the exact same problems — zero reliable tests, developers burning time on manual QA, users finding bugs before we did. So we built an AI agent that learns what to test by watching real users, creates test cases from that behavior, executes them on every push, and keeps itself current as the product changes. That's SureShip.
Install a lightweight JS snippet. SureShip's AI agent watches how real users move through your app, maps the journeys, creates test cases from real behavior, and executes them — learning continuously and testing your product better as it evolves. No audits, no kickoff project, no documentation archeology.
As your product evolves, SureShip learns from new user flows and updates your suite automatically. Tests that keep themselves current. Billing is usage-based — you pay for coverage that's running, not scripts sitting on a shelf.
The AI agent runs as a versioned Docker container in your private registry. Pull it into GitHub Actions, GitLab CI, pre-commit hooks, wherever. No proprietary runner, no new infra, no lock-in. If you can run docker run, the agent runs.
Usage-based pricing. You pay for active coverage, not shelf-ware.
Details shared during early access onboarding.
Common questions from engineering teams evaluating SureShip.
SureShip doesn't replace your test framework — it's an AI agent that runs alongside your stack. It creates test cases from real user behavior and executes them inside a Docker container using browser automation. Your existing setup stays in place; SureShip adds a self-learning, continuously updated layer of coverage on top.
Cursor, Claude Code, and GitHub Copilot help your engineers write code faster. SureShip tests the product that code builds. Different jobs, zero conflict. They work great alongside each other.
SureShip's AI agent runs alongside your existing tests. Over time, as the agent's self-created test cases grow and prove reliable, you can phase out manually maintained tests at your own pace.
Anything that can run docker pull and docker run. GitHub Actions, GitLab CI, CircleCI, Jenkins, Buildkite, pre-commit hooks — if you have a CI pipeline, you can run SureShip. No proprietary runner, no new infrastructure, no vendor lock-in.
The snippet is a lightweight, read-only observer that watches user navigation patterns — clicks, page transitions, form interactions. It doesn't modify your DOM, doesn't capture sensitive data, and adds negligible overhead. Think of it like a lightweight analytics script, but instead of dashboards, it produces test coverage.
Active Coverage means the AI agent is always running — observing, creating new test cases as new flows emerge, and executing them on every push. When you ship a new feature, the agent detects the new behavior, creates test cases for it, and starts covering it. You're billed based on what the agent is actively executing, not test cases sitting idle on a shelf.
Here's exactly how SureShip works. You install one snippet. Everything else is automatic.
Add the SureShip snippet to your app. One line of JavaScript. Takes 2 minutes.
<script src="https://cdn.sureship.ai/snippet.js"
data-key="your-key"></script>SureShip observes real user sessions and maps every critical journey through your product. It identifies the flows that matter most — auth, onboarding, payments, core actions — based on actual usage, not assumptions.
The AI agent creates test cases from the flows it observed, then executes them — running as a Docker container in your CI/CD pipeline on every push and PR. No test code to write. No selectors to maintain. The agent does it.
✗ Write test scripts manually ✗ Maintain selectors through UI changes ✗ Guess which flows matter most ✗ Tests drift as product evolves ✗ Coverage based on assumptions
✓ AI agent creates test cases from real sessions ✓ Agent executes them on every push ✓ Coverage based on actual user behavior ✓ Runs as a Docker container in your CI/CD ✓ Self-adapting as your product changes
As your product ships new features and users discover new flows, the agent detects the new behavior, creates test cases for it, and starts executing them — automatically. The agent is always learning, always running.
$ docker pull registry.sureship.ai/yourco/suite:v12 v12: Pulling from yourco/suite ... done $ docker run --env BASE_URL=https://app.yourco.com \ --env SURESHIP_TOKEN=sk_live_... \ sureship/yourco:v12 ✓ auth/login-flow .......................... 4.2s ✓ auth/signup-with-email ................... 6.1s ✓ onboarding/complete-profile .............. 8.3s ✓ booking/create-new-booking ............... 12.1s ✓ payments/checkout-subscription ........... 11.4s ✓ payments/update-billing-method ........... 7.8s ✓ settings/change-password ................. 3.9s ✓ onboarding/profile-avatar ................ 5.2s 42/42 passed │ 0 failures │ Total: 3m 12s
Architected and operates SureShip on BetterFutureLabs' own production infrastructure daily. Answers his own Slack messages.
Runs on our own product daily. Not a demo.
SureShip's AI builds and maintains your tests. Zero manual upkeep.
Docker container. Runs anywhere. No proprietary infrastructure required.
(We'll save you the Googling)
| Traditional Frameworks Playwright/Cypress/Selenium | AI Copilots Copilot/Cursor for tests | QA Outsourcing managed QA teams | SureShip self-learning QA automation | |
|---|---|---|---|---|
| How tests are created | You write them manually | You write with AI assistance | Their engineers write them | AI agent creates test cases from real user behavior — autonomously |
| Maintenance | You maintain selectors & scripts | You update & re-generate | Their team, reactively | Self-maintaining — AI adapts automatically |
| Setup | Weeks of engineering time | Hours per feature | Sprint-long onboarding | One JS snippet. 2 minutes. |
| Infrastructure | You own everything (and its burden) | Your editor, your pipeline | Their proprietary platform | Docker container you run — no vendor infra |
| Lock-in? | None, but you own the maintenance | Platform-dependent | Annual contracts | Month-to-month. Portable Docker container. Yours to keep. |
| Typical cost | "Free" + $75K–$150K hidden eng time | Low tool cost + high eng time | $60K–$120K+/year | Usage-based. You pay for active coverage. |
| Who you talk to | Stack Overflow | Support docs | Account manager → QA lead | The engineers who built the system |
"Every testing tool we tried either broke constantly or required more engineering time to maintain than it saved. So we built SureShip for Wave — an AI agent that learns from real users, creates test cases from that behavior, executes them on every push, and keeps itself current as the product changes. After a year in production, we realized: every team shipping weekly has this exact problem."
— Justin Trugman, Head of Technology, BetterFutureLabs
Here's what early access looks like:
We're onboarding a small group of teams for early access. Apply below and we'll be in touch.
Tell us about your product and stack. We're onboarding a small group of teams for early access.
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SureShip by BetterFutureLabs. Self-learning QA automation. Built by engineers, for engineers. Run on our own product. Now available for early access.