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The traditional strategy of integrating Playwright (web) with manual AskUI code (desktop) is outdated. AskUI is now leading the transition to chat-based, code-free automation. Our new solution, Caesr.ai, leverages AI Agents to handle complex workflows across both web and desktop with simple natural language commands. Stop coding integrations start chatting your tests.
The Old Problem: The Fragile Hybrid Toolchain
Playwright is an excellent tool for browser-based testing, but it requires developers to create and maintain brittle selectors. More importantly, using it for full-stack automation meant building a fragile hybrid toolchain:
- Writing Playwright code for browser actions.
- Writing separate AskUI code for desktop actions.
- Manually syncing test states and logs between the two scripting environments.
This code-heavy integration was a maintenance burden and required expertise in multiple languages and frameworks.
The New Solution: Chat-Based Automation with Caesr.ai
Caesr remove the need for complicated hybrid coding. The Caesr vision agent can read a single prompt and autonomously choose whether to use web, desktop actions or both all without writing a single line of intergation code
Seamless Cross-Platform Automation (Chat Command)
The complexity of bridging web (Playwright's domain) and desktop (AskUI's domain) is dissolved.
Caesr.ai Prompt Example:
"Open Chrome, navigate to the signup form, fill in the details, click 'Submit', then open the native 'Mail' application to confirm the verification email."This single prompt replaces the need for separate Playwright and AskUI scripts.
Why Caesr.ai Succeeds Where Playwright Fails (Desktop)
Playwright is designed for the web's Document Object Model (DOM). It cannot interact with native OS elements. Caesr.ai, however, uses AI Vision to overcome this limitation.
Automate by Intent, Not by Script
Playwright stands as a leading tool which users employ for executing web-only operations. QA teams need to create fundamental systems which support operational stability because complete end-to-end process automation requires basic operational stability. The chat-based system of Caesr.ai represents the future because it enables users to move from complicated code-based scripts to simple automated solutions through single commands.
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