Interactive Demo
Step through real ContextQA workflows — every screenshot captured live by the AI agent, every action logged.
Every screenshot below was captured automatically by the ContextQA AI agent during a live execution. Three scenarios — step through each one to see exactly what the agent does.
Enter Credentials
AI locates the Company Email field and types the email address, then finds the Password field and enters the password.
AI Agent: TYPE [email protected] → Company Email field
AI Agent: TYPE credentials → Password field
Verify Dashboard Loaded ✓
Dashboard confirmed: left navigation visible, Total Test Cases, Daily Activity Trends, and project overview all displayed. Execution complete.
AI Agent: VERIFY — ContextQA dashboard is open. Left navigation, Total Test Cases, Daily Activity Trends visible.
AI Agent: DONE — All 5 steps complete — login verified, dashboard confirmed.
🎬 Session Video
c19e2297-a24e-4565-b294-20ca9479b6af.webm
📸 Screenshots
2 per-step screenshots captured
⏱ Duration
~18 seconds
✅ Result
PASSED
Test Case Created ✓
ContextQA Documentation Test appears in the test cases list. Ready to add steps, record, or execute.
AI Agent: VERIFY — Test case 'ContextQA Documentation Test' is visible in the test cases list
AI Agent: DONE — 8 steps completed successfully
🎬 Session Video
8f57f44c-8b63-4c00-9cf6-036193e260e9.webm
📸 Screenshots
Per-step screenshots captured
✅ Result
PASSED
Review Results ✓
100% pass rate. Per-step screenshots, full session video, and Playwright trace all available instantly.
AI Agent: SUCCESS — All steps passed. Video and trace captured.
AI Agent: VIDEO — Full session at cqa-media.s3.amazonaws.com
AI Agent: TRACE — Playwright ZIP with DOM snapshots, network logs, timing
🎬 Session Video
WebM
Immediately after run
📸 Step Screenshots
JPG
Per step
🔍 AI Reasoning
JSON
Full planner chain
⏱ Total Duration
—
56 seconds
✅ Pass Rate
—
100%
What happens under the hood
ContextQA's AI pipeline handles the full execution lifecycle automatically — from interpreting each test step in natural language, to locating elements in the browser, executing actions, capturing evidence, and self-healing when the UI changes. No selectors to write, no scripts to maintain.
Try it with your own application
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