Platform
AI testing workbench
AI reads your code, drafts flows, and runs them in a real browser via Browserbase—tweak steps, add custom journeys, and watch narration plus logs in one place.
Product
Flows from code, runs in a live browser
The workbench below mirrors the in-product experience: generate or author flows, connect a Browserbase session, and drive tests with AI narration and structured logs—without juggling three different tools.
AI Testing Workbench
Generate user flows from codebase, add custom flows, run tests live with AI narration.
Add Custom User Flow
Browserbase Live Browser
Paste the Browserbase live session URL to embed the real Browserbase browser here.
e2e
Authentication login flow
Steps: Open login, submit valid credentials, verify redirect and session persistence.
Expected: User lands in project dashboard and can access authorized resources.
integration
Project creation pipeline
Steps: Create project via UI/API and observe provisioning lifecycle events.
Expected: Project is created, setup finishes, and environment status becomes ready.
Live Browser
AI Narration
Waiting for test run. Choose a flow and click Run Test.
Run Logs
No logs yet.
Capabilities
Built for serious reliability
Strong defaults for coverage and reporting, flexible hooks into the frameworks your team already chose.
Test generation
Turn product intent into executable suites instead of brittle one-off scripts.
- AI-led automated test case creation
- Self-healing test scripts
- Intelligent test coverage analysis
Playwright & Cypress
Run where your app already lives—browsers, traces, and artifacts pinned to each commit.
- Seamless framework integration
- Parallel execution support
- Cross-browser compatibility
Mocking & stubs
Isolate services and latency so flakes surface as real defects, not environment noise.
- Advanced API mocking & stubbing
- Stateful data simulation
- Network latency simulation
Regression reporting
Trends and failures your team can act on—linked back to diffs and owners.
- Trend analysis & alerting
- Automated regression suites
- Deep failure diagnostics
Impact
Numbers QA teams care about
Targets shift with product complexity—these reflect what high-trust delivery teams optimize for inside Bleenk.
How it fits
One loop from spec to green CI
Works inside Playwright, Cypress, and Jest pipelines—failures, traces, and ownership stay where your team already operates.
Portfolio
Apps exercised like production
A sample of shipped properties—each link opens the live site so you can see the quality bar we hold for end-to-end delivery.
Integrations
Plays nicely with your toolchain
Wire test runners, repos, and chat so failures land with context where engineers already triage—not buried in a separate tool.
Browse integrations
