Michael Ch@mchess

Veta replaces brittle, scripted UI tests with an autonomous, AI-driven QA agent fleet that treats mobile applications exactly like a human tester would. Operating on an observe-decide-act loop, the agent evaluates real-time Android screen captures alongside compressed accessibility hierarchies to interact with applications via a strict, type-safe action vocabulary. The architecture relies on a multi-phase, multi-sub-agent pipeline consisting of a Planner, Executor, Verifier, and Reporter. The Planner establishes deep, multi-screen verification checkpoints; the Executor executes contextual UI steps; the Verifier checks outcomes against checkpoint evidence; and the Reporter generates comprehensive post-run analysis complete with remediation guidance and severity rankings. Built with high-throughput scalability in mind, the system orchestrates fleets of containerized Android instances (redroid) utilizing custom device identity profiles. Every step of the pipeline, spanning planning, execution, verification, and reporting, runs natively on AMD silicon with zero non-AMD fallbacks by default, harnessing Fireworks AI on AMD Instinct or self-hosted vLLM on ROCm for rapid, low-overhead inference.

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