Quell
AI agents that supercharge UAT and catch critical bugs faster.
Quick facts
- Best for
- AI agents that supercharge UAT and catch critical bugs faster.
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About Quell
Quell offers AI-powered User Acceptance Testing (UAT) agents that help to automate the acceptance testing process, ensuring that software development meets acceptance criteria. Quell AI agents are capable of testing acceptance criteria, debugging, and creating detailed tickets. These UAT AI Agents fit seamlessly into your workflow, working as integral team members for product managers and founders for efficient User Acceptance Testing. This AI tool automatically checks builds against acceptance criteria which can be sourced from Linear tickets, Jira tickets or even Figma designs, and tests these against Vercel, Netflify, and other builds. This helps improve the speed and reliability of build deployments using both automatic and manual AI UAT, proven UAT testing agents, and automated testing tools for a streamlined validation and delivery process. The testing capabilities of Quell AI agents are powered by advanced AI and machine learning, providing AI-enhanced insights. The platform also features automated issue ticketing and build monitoring, offering real-time analytics to ensure correct build deployments.
Pros
- Automated UAT testing
- Debugging support
- Detailed ticket creation
- Seamless workflow integration
- Acceptance criteria testing
- Can source from Linear tickets
- Can source from Jira tickets
- Can source from Figma designs
- Tests against Vercel builds
- Tests against Netflify builds
- Proven UAT testing agents
- Automated testing tools
Cons
- Limited tool integrations
- Product-specific testing criteria
- Dependent on ticket systems
- Limited free trial
- Requires setup
- Deployment limited to Vercel, Netflify
- Expensive Pro package
- No custom testing options
- Limited use cases