Quell provides AI-driven User Acceptance Testing (UAT) agents that automate the process of acceptance testing, thereby guaranteeing that software development aligns with defined acceptance criteria.
Quell AI agents have the ability to assess acceptance criteria, find and fix defects, and produce comprehensive tickets. These UAT AI Agents integrate smoothly into your existing processes, functioning as valuable team members for product managers and founders to ensure efficient User Acceptance Testing.
This AI tool automatically evaluates builds against acceptance criteria obtained from Linear tickets, Jira tickets, or Figma designs, and then tests them on Vercel, Netflify, as well as other builds.
This leads to improved speed and dependability of build deployments using automated and manual AI UAT, established UAT testing agents, in addition to automated testing instruments for a simplified validation and delivery process.
The testing features of Quell AI agents are driven by cutting-edge AI and machine learning, delivering AI-enhanced insights. The platform also provides automated issue ticketing and build monitoring, supplying real-time analytics to assure accurate build deployments.
Automated testing for UAT
Debugging assistance provided
Comprehensive ticket generation
Limited integrations with other tools
Testing criteria specific to product
Reliance on ticketing systems

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