Quell

Quell is an AI-powered User Acceptance Testing (UAT) agent platform that helps automate the acceptance testing process. It uses advanced AI and machine learning to ensure software development meets defined acceptance criteria. Besides, Quell also automates issue ticketing and build monitoring, offering real-time analytics for correct build deployments.

Quell's agents play a pivotal role in software development by automating the acceptance testing process, which ensures that the software meets the set acceptance criteria. They are capable of conducting acceptance tests, debugging, creating detailed tickets, and seamlessly fitting into your workflow. Moreover, they use AI and machine learning to enhance testing capabilities significantly.

Quell automatically checks the builds against acceptance criteria sourced from Linear tickets, Jira tickets, or even Figma designs. These sourced criteria guide how the AI agents perform UAT, focusing on the requirements stated in these tickets or designs.

Quell improves the speed and reliability of build deployments by automatically checking against the acceptance criteria. It accomplishes this through its advanced UAT testing agents and automated testing tools that validate the builds for deployment, thereby streamlining the validation and delivery process.

Quell AI agents can be integrated seamlessly into a team's workflow. These agents work as vital team members for product managers and founders, making the User Acceptance Testing (UAT) more efficient. They are capable of performing tasks like testing acceptance criteria, debugging issues, and even creating detailed tickets.