Run end-to-end browser tests using natural language
Natural language E2E tests sound good until you need debugging or maintenance.

Natural-language -> E2E tests plus a visual desktop app, cloud sync and an npm-installable CLI is a pragmatic combo that will appeal to teams tired of brittle scripts. Usability-focused reporting and a recorder-ish desktop experience are the clearest differentiators here; what I want to see next is concrete evidence about cross-browser reliability and how the AI handles flakiness and changing selectors.
QA engineers, frontend developers, product managers, and teams who run CI/CD and need automated E2E testing
What’s live today:
- Natural language to end-to-end web app tests - Usability-focused reporting - Desktop app + cloud sync - CLI support for CI/CD - Free plan to get started
Looking forward to your feedback.
Natural language E2E tests sound good until you need debugging or maintenance.
Agentic test runtime builds execution memory to heal flaky tests automatically.
Claude drafts tests locally; Decipher executes and fixes failures in cloud—smart division of labor.
AI E2E testing when Playwright, Cypress, and Testim already dominate.
AI writes E2E tests autonomously, but Playwright codegen and Selenium IDE exist.
Natural language test creation when Testim and Mabl already dominate.