Learn to design a visible n8n workflow that takes requirements, runs LLM prompts, and generates structured QA test cases through a simple custom UI.
See how the n8n AI Agent processes inputs, orchestrates prompts, and outputs complete test coverage.
User story, acceptance criteria, or feature notes.
As a user,
I want login with MFA
so my account is secure
Connect inputs, LLM prompts, logic, and output formatting.
Functional, negative, boundary, and expected results in one output.
• Expect: Verify security OTP token screen opens...
{
"requirement_id": "REQ-MFA-001",
"story": "As a user, I want login with MFA so my account is secure",
"acceptance_criteria": [
"Prompt OTP token upon valid email/password",
"Timeout after 60 seconds",
"Reject invalid OTP code after 3 attempts"
]
}The testers who adapt first will lead. Stay ahead of the shift — build real AI skills while others wait.
Analytics India Magazine
Organizations adopting AI-native QA tools report up to 60% reduction in test case creation time across sprint cycles.
2 hours ago
TechCrunch
The open-source workflow builder hits a milestone as QA and DevOps teams adopt agentic builders at record pace.
1 day ago
Forbes
Industry analysts say AI workflow automation is now a core QA hiring requirement in over 40% of new job listings.
5 hours ago
Entrepreneur
Venture funding into AI-powered test generation tools tripled in 2024, signaling a major shift in how software is validated.
3 days ago
The New York Times
Job postings for QA engineers increasingly list prompt engineering and AI agent orchestration as mandatory competencies.
12 hours ago
Wired
A benchmark study shows modern language models outperform junior testers when given structured requirements as input.
4 days ago
Analytics India Magazine
Organizations adopting AI-native QA tools report up to 60% reduction in test case creation time across sprint cycles.
2 hours ago
TechCrunch
The open-source workflow builder hits a milestone as QA and DevOps teams adopt agentic builders at record pace.
1 day ago
Forbes
Industry analysts say AI workflow automation is now a core QA hiring requirement in over 40% of new job listings.
5 hours ago
Entrepreneur
Venture funding into AI-powered test generation tools tripled in 2024, signaling a major shift in how software is validated.
3 days ago
The New York Times
Job postings for QA engineers increasingly list prompt engineering and AI agent orchestration as mandatory competencies.
12 hours ago
Wired
A benchmark study shows modern language models outperform junior testers when given structured requirements as input.
4 days ago
MIT Technology Review
Researchers agree: within 2 years, AI will handle the first draft of all structured test documentation.
6 hours ago
VentureBeat
Early adopters of agentic QA automation are shipping features faster while maintaining higher defect detection rates.
2 days ago
InfoQ
Engineering leaders say structured prompting is now as critical as Selenium or Cypress experience for senior QA roles.
8 hours ago
Business Insider
A SaaS company shares how they built a 3-node n8n workflow that auto-generates test cases directly from Jira stories.
1 week ago
IEEE Spectrum
New research shows AI-assisted test suites achieve 94% edge case coverage vs. 67% for manually authored test plans.
3 days ago
ZDNet
Enterprises are gravitating toward n8n's visual workflow builder to bridge AI models and real QA pipelines at scale.
5 days ago
MIT Technology Review
Researchers agree: within 2 years, AI will handle the first draft of all structured test documentation.
6 hours ago
VentureBeat
Early adopters of agentic QA automation are shipping features faster while maintaining higher defect detection rates.
2 days ago
InfoQ
Engineering leaders say structured prompting is now as critical as Selenium or Cypress experience for senior QA roles.
8 hours ago
Business Insider
A SaaS company shares how they built a 3-node n8n workflow that auto-generates test cases directly from Jira stories.
1 week ago
IEEE Spectrum
New research shows AI-assisted test suites achieve 94% edge case coverage vs. 67% for manually authored test plans.
3 days ago
ZDNet
Enterprises are gravitating toward n8n's visual workflow builder to bridge AI models and real QA pipelines at scale.
5 days ago
Select a requirement below and trigger the simulated n8n AI agent. See how it identifies edge cases, structures negative scenarios, and outputs ready-to-use QA test suites.
Identify validation states, empty codes, expired coupons, boundary discount percentages (e.g. 0% and 100%), negative values, currency calculation precision, and multiple coupon application blocks.
Walk away with tangible skills, battle-tested prompt frameworks, and an end-to-end deployed workflow you built yourself.
Use structured prompting to get better test cases, scenarios, and expected results. Learn to engineer prompts built around requirement constraints.
Connect inputs, LLM prompts, processing, and formatted outputs using a no-code agentic workflow builder. Set up loops and custom system nodes.
Turn the backend workflow into a simple, polished web interface that manual or automation testers can immediately use in daily iterations.
Step-by-step curriculum to transition from raw requirements to visual AI automation.
Start with prompt structure and the frameworks behind strong QA test designs, then get hands-on in n8n: link LLM calls with inputs, format output structures, and configure the custom agent UI.
Not theory. Real workflows, real outputs — from someone who builds and teaches AI daily.
Senior AI Trainer | Testleaf Software Solutions Private Limited
Prabakaran combines hands-on QA, test automation, and AI workflow engineering into a single practical session. His approach is deliberately grounded: give testers exactly the GenAI depth they need to ship something that works, and skip the abstract theory that never reaches the keyboard.
Designed specifically for testing minds — no advanced Python coding or AI mathematics required.
Who want to move into AI-powered QA and automate testing design scenarios.
Who want to add agentic AI workflows and prompts to their existing toolsets.
Exploring intelligent agentic testing pipelines and structured JSON model integrations.
Evaluating AI adoption metrics for teams and seeking practical GenAI clarity.
Looking to streamline scenario pipelines and reduce manual test documentation lag.
Who have heard about LLMs and AI, but do not know where or how to build first.
Join the hands-on live workshop, gain the practical skills, and launch your test generation agent.
One-time registration payment · Instant access
Note: October 13 | 7 PM – 10 PM IST | Built for QA professionals, manual testers, automation testers, SDETs, and QA leads.
Everything you need to know before you join the workshop.