Power Up Testing Efficiency by 40% in just 12 weeks. Join the Pilot Program
AI Prompt Engineering for Accurate, Repeatable Test Generation
Build consistent test cases with AI prompts designed for web, mobile, and API testing. Create structured prompts that generate complete scenarios, step-by-step flows, data sets, and edge-case coverage with minimal rework.
Trusted by leading engineering and QA teams
Stronger prompts lead to stronger tests.
Get faster cycles, cleaner builds, and trustworthy results when you use software testing with our context-aware AI testing platform.
%
Faster triage
%
Maintenance reduction
0
%
Flake rate
Turn Written Steps Into Accurate Tests With AI Prompt Engineering
ContextQA’s prompt tools help teams build clear instructions for the system to generate full test cases. Each prompt follows a structured pattern that produces predictable output for UI flows, API calls, and mobile journeys.
AI prompts can also be reused, edited, and stored across teams, forming a shared prompt library for ongoing delivery.
Reliable Prompting for Testing Teams
Clear prompts give the AI the information it needs to build tests that match expected behaviour. Teams produce more coverage with fewer revisions and fewer failed attempts.
Prompts That Produce Complete Test Cases
Teams can write short, direct prompts that return multi-step test flows covering both positive and negative paths.
Reusable Prompt Library for All Teams
Store approved prompts in a shared library within ContextQA. Engineers, analysts, and PMs can reuse them to produce consistent results.
Better Prompts, Better Regression Coverage
Stronger prompts lead to stronger test sets, it’s simple. Teams keep expanding coverage without rewriting old instructions.
Built for Web, Mobile, and API Testing
Prompts can target behaviours across interfaces, devices, and endpoints, working with every step of your workflow.
Works With Structured Inputs
Combine prompts with tables, Figma notes, user stories, or PRDs to generate richer test cases.
How Prompt Engineering Works Inside ContextQA
The system follows a predictable flow. Your team writes a prompt. ContextQA reads the inputs and produces tests that match the behavior described.
01
Prompt Builder
Write short instructions describing a flow. Add details like user data, edge cases, or dependencies.
02
AI Prompt Generator
The platform converts your instructions into step-by-step test cases, including selectors, conditions, data sets, and API calls.
03
Prompt Review Panel
Easy equation: See the output, adjust the prompt, and produce a new version in seconds.
04
Prompt Library
Save prompts for later. Keep a shared set that works across web, mobile, and backend teams.
05
AI Prompt Examples
Use ready-made templates for login flows, onboarding, payments, dashboards, searches, API validations, mobile gestures, and more.
06
AI Prompt Engineering Best Practices
The platform guides writers toward clearer instructions, helping reduce ambiguity. This leads to more consistent test generation.
AI Prompt Library: Prompt Types and How They Generate Tests
| Prompt Type | Input Style / Example | What ContextQA Produces |
|---|---|---|
| Flow Prompt | Create a login test for a Salesforce user with 2FA | UI steps, selectors, conditions, data |
| Data Prompt | Table of sample values | Positive, negative, boundary datasets |
| API Prompt | REST or GraphQL instructions | Requests, assertions, schema checks |
| Mobile Prompt | Gestures or device behavior | iOS / Android platform flows |
| Error-State Prompt | Failure scenarios | Edge cases and recovery paths |
Why Teams Use ContextQA for Prompt Engineering
Prompt engineering inside ContextQA is built around test generation. In other words, it’s made by prompt engineers, for prompt engineers. Teams don’t need a separate prompt engineer, a dedicated prompt writer, or a standalone prompt certification.
The platform helps everyone produce reliable prompts without specialist knowledge.
Key Advantages:
01
Prompts generate tests that match real product behavior
02
Prompts adapt as the product changes using auto-healing
03
Prompts work across the entire testing setup
04
Prompts reduce the time needed to expand coverage
05
Prompts keep outputs consistent from one writer to another
Build Stronger Tests With Connected Features
Prompt Engineering works best alongside the rest of the platform.
Root-Cause
Analysis
Each generated test includes clear failure reporting.
Auto-Healing
Tests
Prompts produce tests that stay stable during UI changes.
Continuous Testing (CI/CD)
Prompts build structured flows for web interfaces.
Mobile App
Testing
Prompts describe device behaviour and gestures that become full test paths.
API Testing
Prompts turn API instructions into complete request and assertion sets.
AI Data Management & Validation
Generated tests work with clean, predictable data that stays consistent.
Analytics & Insights
Teams can see which prompts produce the strongest, most stable tests.
Testing Built to Stay Future-Proof
Expand Coverage With Strong, Reusable AI Prompts
Teams get work done faster (and better) when prompt quality is consistent. ContextQA lets teams write, refine, and share prompts that produce trustworthy test cases across the entire product.
FAQs
Our Customers Also Ask
What is AI prompt engineering?
AI prompt engineering is the process of writing clear inputs for an AI system so it produces accurate, complete outputs. In ContextQA, this means using prompts to generate test cases, scenarios, and flows based on your product requirements.
What does a prompt engineer do in testing?
A prompt engineer writes the instructions the AI uses to build test cases. The system handles the generation, while the engineer reviews and adjusts prompts when needed.
How does ContextQA generate tests from prompts?
The system reads the prompt, identifies flows, data, and behaviours, and produces a full set of test steps for web, mobile, or API coverage.
What is the best way to write an AI prompt?
Short prompts with clear actions, user roles, data values, and expected outcomes produce the most accurate tests. The system also provides recommendations to improve clarity.
Can teams build a shared prompt library?
Yes. You can store, edit, and reuse prompts across teams so outputs stay consistent.
Does this help with AI prompt engineer training or certification?
The platform doesn’t provide training or certification, but it removes the need for specialist roles by guiding teams toward strong prompting patterns.