“Raise your hand if you’re tired of typing ‘test123’ for the 500th time!”

Are your the one raising hand?? What if I told you there’s a way to:
– Generate 1000 test cases in the time it takes to drink coffee
– Find bugs even developers didn’t expect
– Make testing so fun, your coworkers will think you’re hacking,

and all that without fancy and expensive tools!

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Step 1: Prepare Before Generating Test Data

Imagine this: You ask AI for test data and it gives you emails like ‘[email protected]’ when your app requires Gmail addresses! Keep in mind, AI is a powerful tool. It is not you.

Here’s how to avoid EPIC fails as a pro tester:

💡 Pro Tip: Make a cheat sheet like this:

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Step 2: Generate Test Data

Now we are ready to let generative AI shine – Just ask.

Sample Prompt:

“Hey ChatGPT! Act like a senior QA engineer. Give me 5 brutal test cases for product reviews in JSON format. Include:

• 1-star reviews with ALL CAPS RAGE 😠
• A review that’s just 10,000 💩 emojis
• Someone trying to hack with “

AI Output Sample:

Try it yourself: Ask AI for this data in CSV format too!

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Step 3: Handling Functions and Features

Case 1️⃣ – Login Test Data

Test Scenarios:

• Valid login
• Wrong password
• SQL injection attempt

AI Prompt:

*”Generate login test data in CSV format. Include:

• 1 valid user (email: [email protected], password: Pass123!)
• 1 invalid password (email: [email protected], password: wrong)
• 1 SQL injection attempt (email: [email protected], password: ‘ OR ‘1’=’1)”*

AI Output Example (CSV):

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Case 2️⃣ – Registration Test Data

Test Scenarios:

• Valid registration
• Missing required field
• Duplicate email

AI Prompt:

*”Generate registration test data in SQL INSERT statements. Include:

• 1 valid user (name: John Doe, email: [email protected])
• 1 missing email (name: Jane Doe, email: NULL)
• 1 duplicate email (name: John Clone, email: [email protected])”*

AI Output Example (SQL):

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Case 3️⃣ – Nested Menus & Navigation

Test Scenarios:

• Admin vs. regular user access
• Broken submenu link

AI Prompt:

*”Give me test cases for a nested menu in raw text (for a test case doc). Include:

• Admin user: Should see ‘Dashboard, Settings, Reports’
• Regular user: Should NOT see ‘Settings’
• Broken link: Click ‘Reports’ → 404 error”*

AI Output Example (Raw Text):

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Case 4️⃣ – Cookie Handling for A/B Testing

Test Scenarios:

• Force variant A (old UI)
• Force variant B (new UI)

AI Prompt:

*”Generate JavaScript code snippets to manipulate A/B test cookies. Include:

• Force variant A (old_ui)
• Force variant B (new_ui)
• Clear cookie (fallback to default)”*

AI Output Example (JavaScript):

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💡 Pro Tip: Ask AI for the same data in different formats to fit your needs.

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Try it yourself – Prompting AI for:

• Checkout page test data (as SQL + JSON).
• Error message tests (in raw text steps).
• Share your funniest edge case (e.g., email: "🤣@test.com").

Which format do you prefer for test data?

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Step 4: Maximizing AI Power – Pro Tips, Do’s and Don’ts

AI is like a genie: It grants wishes, but only if you rub the lamp the right way.

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DO: Smart Prompting

1. Be Specific (Or Get Garbage)

❌ “Give me test data.” → “Here’s 100 random strings. Good luck!”
✅ “Generate 5 test cases for a checkout form, including:

• Valid/invalid credit cards (Visa, Amex, fake numbers)
• Expired vs. future expiry dates
• CVV edge cases (empty, 2 digits, ‘000’)”**
  

2. Ask for Multiple Formats

Need JSON for automation? CSV for Excel? SQL for DB seeding? Say so!

“Give the output as JSON and CSV.”

3. Force Edge Cases

AI plays it safe unless you demand chaos:

*”Include:

• Usernames with 255+ chars
• Emails in Cyrillic (тест@пример.рф)
• Password = ‘’”*

4. Generate Code Snippets

“Write a Playwright script that uses this test data to verify login error messages.”

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DON’T: Common Pitfalls

1. Blind Trust

AI hallucinates! Always:
✔ Validate phone numbers/credit cards with regex.
✔ Check date formats (MM/DD vs. DD/MM).
✔ Test if “invalid” data actually fails your UI.

2. Overload Prompts

❌ “Give me test data for login, search, checkout, and user profiles.” → Confused, messy output.
✅ Split requests: “First, give me login test cases. Next, search filters.”

3. Forget Context

AI doesn’t know your app’s business rules. Always add:

“Our password rules: 8+ chars, 1 special character.”

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Pro Turbo Tips

1. Seed Realistic Data

“Generate 50 Spanish-speaking users with Mexican addresses.”

2. Simulate Load Testing

“Create 1,000 unique emails for performance testing.”

3. Break Security

“Suggest XSS/SQLi payloads to test our input fields.”

4. Automate Boring Stuff

“Write a Python script to randomize this test data.”

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5. You’ll Get Trouble If You…

• Use real user data (GDPR nightmare!). AI exists so you don’t need production data.
• Paste sensitive info (API keys, credentials) into public AI tools.
• Assume AI is 100% right (always verify ).
  

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Excited? Go Try Something (Responsibly !)

1. Find the funniest bug using AI data (e.g., username = “🐔💨”)…
2. Trick A/B tests by hacking cookies…
3. Generate 100,000 fake emails for load testing…
4. Write a Python script to randomize this data…
5. Automate 1 test with AI-generated data…
6. Brag in Slack with screenshots lol!

Generative AI won’t replace testers — it supercharges the creative and boring parts alike.

With the right prompts, it’s like having a caffeinated intern who never sleeps (but sometimes forgets what a valid phone number looks like 🤪).

Go ahead. Replace “test123” with something awesome today. Share your journey and learnings with Omniit.ai.

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