Phase 5: Visual Analysis

Purpose: Use LLM vision capabilities to analyze screenshots and identify issues

Steps

1. Batch screenshot analysis

Read all captured screenshots and ask LLM to identify:

UI bugs (broken layouts, overlapping elements, cut-off text)
Accessibility issues (low contrast, missing labels, improper heading hierarchy)
Responsive problems (elements not scaling, overflow issues)
Missing or misaligned elements
Unexpected visual artifacts

2. Categorize findings

Critical: App is broken/unusable (crashes, white screen, no content)
High: Major UI bugs affecting core functionality
Medium: Visual inconsistencies that impact UX
Low: Minor alignment or styling issues

3. Generate issue descriptions

For each issue:

Natural language description
Screenshot reference with highlighted problem area
Affected viewport/browser if relevant
User impact assessment

Output

Structured list of visual issues with severity ratings:

## Visual Issues Found

### Critical (1)
- White screen on mobile viewport - App fails to render

### High (2)
- Button text cut off at 375px width
- Form labels overlap input fields

### Medium (3)
- Header alignment inconsistent
- ...

Performance

~5-10 seconds per screenshot for LLM analysis

Common Issues

Analysis fails

Retry analysis
Skip corrupted images
Validate PNG format

Too many false positives

Adjust analysis prompts
Focus on critical issues first

Transition

Proceed to Phase 6 (Regression Detection)

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