I will develop testing agents using playwright mcp and langchain


Level 1
About this gig
Stop wasting hours on repetitive manual testing. Whether youre a business owner or a QA Engineer, let AI handle repetitive testing while you focus on building better software.
I build AI QA Agents using Playwright MCP that autonomously test your application through real browser interactions by validating against the actual UI, APIs, databases, and business workflows.
Services include:
Functional & Regression Testing
Frontend & Backend Validation
API & Database Testing
Cross-Browser Automation
AI Bug Reports with Screenshots & Videos
HTML Reports & Execution Logs
Results - Slack, Jira & Teams Integration
OpenAI, Claude, Gemini, Ollama & LM Studio Support
Perfect for SaaS products, enterprise applications, dashboards, admin panels, and internal tools.
if required i offer FREE 20-minute Zoom consultation available. Message me before placing an order.
Get to know Mohammad S
Generative AI Engineer, RAG, LangChain, LLMs, Fine Tuning, Agentic AI
Level 1
- FromIndia
- Member sinceFeb 2023
- Avg. response time1 hour
- Last delivery2 months
Languages
English, Hindi, Urdu, Telugu
My Portfolio
FAQ
What types of applications can your AI QA agents test?
It can test SaaS platforms, dashboards, admin panels, eCommerce sites, enterprise apps, and modern web applications using Playwright-MCP automation.
Will you provide bug reports with screenshots or recordings?
Yes. Detailed HTML reports, annotated screenshots, console logs, and screen recordings can be included based on the selected package.
Do you support cloud deployment?
Yes. I can help deploy QA agents on cloud servers using Docker, GPU instances, or scalable browser automation infrastructure for larger workloads.
What hardware is required to run the AI QA agents locally?
Minimum 16GB RAM system is recommended.
Do I need cloud infrastructure to use the QA agents?
Not necessarily. The agents can run locally on capable systems such as high-performance MacBooks. Cloud deployment is recommended only for large-scale or enterprise workloads.

