QualityKeeper Beta Launch

The platform deploys AI‑driven QA agents that ingest product requirement documents, user‑flow descriptions, or demo videos, then automatically generate structured test cases covering positive, negative, and edge scenarios. These agents execute the generated suites, run nightly regressions, and provide real‑time alerts on failures, while an assigned human QA engineer validates results and refines coverage. The system presents a dashboard where teams can monitor test execution, view insights, and trigger runs with a single click.

Targeted at early‑ to mid‑stage startups that need continuous quality assurance without hiring dedicated QA staff, the tool offers a four‑step workflow: setup, test‑case generation, execution, and analysis. By combining autonomous test creation and execution with human oversight, it aims to keep product releases reliable while reducing manual testing effort.

Distinctive aspects include a dedicated PRD Intelligence Agent that extracts test scenarios directly from documentation, an Execution Agent that runs tests without requiring custom scripts, and an Insight Agent that analyzes outcomes to suggest coverage improvements. The service is positioned as an experimental, cloud‑based utility for fast‑moving development teams.