Quell's UAT AI Agent Platform
Quell is an automated UAT (User Acceptance Testing) platform that leverages AI agents to test software builds against acceptance criteria, detect critical bugs, and create issue tickets automatically while integrating with popular development tools.
https://quellit.ai/?ref=producthunt
Product Information
Updated:Jun 19, 2025
What is Quell's UAT AI Agent Platform
Quell's UAT AI Agent Platform is a cutting-edge solution designed to streamline and automate the user acceptance testing process for software development teams. It serves as an intelligent testing companion that works alongside development teams to ensure software builds meet specified acceptance criteria before deployment. The platform is specifically built to support Founders and Product Managers by providing automated testing capabilities that integrate seamlessly with existing development and project management tools like GitHub, Linear, Jira, Vercel, Slack, Figma, and Netlify.
Key Features of Quell's UAT AI Agent Platform
Quell's UAT AI Agent Platform is an automated user acceptance testing solution that integrates with popular development and project management tools like Vercel, Netlify, Linear, Jira, and Figma. It uses AI agents to automatically test builds against acceptance criteria, detect critical bugs, create issue tickets, and monitor deployments, helping teams reduce UAT effort by up to 80% while ensuring software quality.
Automated UAT Testing: AI agents automatically test builds against acceptance criteria from Linear issues, Jira tickets, or Figma designs, eliminating manual testing effort
Intelligent Issue Detection: Automatically identifies bugs and creates tickets when issues are found, with integration to various project management tools
Deployment Monitoring: Continuous monitoring of builds and deployments to ensure quality and compliance, with real-time notifications of any issues
Multi-tool Integration: Seamless integration with development and collaboration tools including GitHub, Slack, Notion, GDrive, Vercel, and Netlify
Use Cases of Quell's UAT AI Agent Platform
High-Growth Startups: Enable fast-moving teams to maintain quality while shipping features rapidly without extensive QA resources
Enterprise Software Development: Automate compliance testing and quality assurance across large-scale applications and multiple deployments
Product Teams: Validate builds against design specifications and product requirements automatically before deployment
Pros
Reduces UAT effort by up to 80%
Quick setup and integration with existing tools
Automated issue detection and ticket creation
Cons
Pricing may be high for smaller teams
Requires integration with supported platforms
How to Use Quell's UAT AI Agent Platform
Sign up for Quell: Head over to Quellit.ai and create a free account (no credit card required)
Connect your tools: Integrate Quell with your existing tools like GitHub, Linear, Jira, Vercel, Slack, Figma, Netlify, or other deployment environments
Set up acceptance criteria: Input or sync acceptance criteria from your Linear tickets, Jira tickets, or Figma designs that will be used to test against builds
Configure UAT Agent: Choose your testing preferences and set up automated UAT monitoring for your builds
Deploy build: Deploy your build through your connected deployment platform (Vercel, Netlify, etc.)
Monitor testing: Let Quell's AI UAT agents automatically check builds against your acceptance criteria in the background
Review issues: Review any identified issues or bugs that the AI agents discover during testing
Manage tickets: Use Quell to automatically create and manage issue tickets for any problems found during testing
Track progress: Monitor testing progress and deployment status through Quell's dashboard
Iterate and improve: Use insights from automated testing to improve future builds and deployments
Quell's UAT AI Agent Platform FAQs
Quell is a UAT (User Acceptance Testing) AI Agent platform that automates acceptance testing and identifies bugs by checking builds against acceptance criteria from Linear issues, Jira tickets, or Figma designs. It ensures your software builds meet required specifications before deployment.
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